Category: Articles

  • Organoids: What are They and Why They’re Amazing

    Organoids: What are They and Why They’re Amazing

    I’m willing to bet you’ve never heard of Organoids. No worries if so, they’re a pretty niche part of biomedical sciences. This is such a shame however as they’re having a great impact on research and our world. Organoids are often defined as tissue samples embedded into 3D extracellular matrix (ECM) gels or clonal derivatives of cells grown without mesenchyme and derived from stem cells. Don’t worry if your eyes have already glazed over! Mine did too the first time I read that.

    In simpler terms, they are the growing of cells, taken from a patient, in a nutrient rich gel. While the field might seem niche at first, it has a long history and the potential to impact millions.

    Before Organoids, most human physiological research relied on in vitro 2D cell culture and animal models (O’Connell & Winter, 2019). These often fail at clinical trials due to oversimplification of or incompatibility with human systems. At the time, cell cultures were limited to growing single layers of cells in a petri dish with none of the 3D complexities of real biological systems. This all changed with Ross Harrison’s “Hanging drop Cell Cultures” in 1906 (Simian and Bissell, 2016). By creating a 2D cell culture and turning the petri dish upside down, gravity would cause the cells to clump together and form a cohesive 3D spheroid of cells that could intermingle and interact like normal. Think about that! 3D structures could form by simply turning them upside down with no other interference. This was the start of research into organoids which offered a new way to look directly at human biology without risking patient or animal lives.

    One key breakthrough was the discovery of 3D extracellular matrices first used in 1963 (Simian and Bissell, 2016). The gel provided a medium for natural scaffolding of cells rather than relying on gravity. This allowed for more complex 3D shapes and allowed for more types of organoids that more closely resembled complex real life systems. The gel also aided in providing the cells with nutrients required to keep them alive. Hence the “nutrient rich gel” from the definition above.

    Exploration into this new field was rather slow however. The human body is composed of roughly 200 distinct types of cells, each of which specialize in a different function such as blood or nerve cells. Despite this, organoids mainly rely on only two types of cells, pluripotent stem cells and organ-restricted adult stem cells (Bredenoord et al., 2017). Stem cells are unspecified types of cells, yet to differentiate, with the ability to become any type of specified cell. They often serve to repair the human body as they can replace any damaged cells no matter the type. This ability makes them highly valuable to organoids trying to model systems that rely on the cooperation of multiple cell types.

    Before the discovery of induced stem cells in 2006 by Dr. Shinya Yamanaka at Kyoto University, organoids were made from pluripotent stem cells as organ-restricted adult stem cells can be hard to access and are restricted to becoming cell types of their tissue of origin most commonly found in embryos (Agarwal et al., 2024). The line of when a zygote becomes a person, however, is blurry, raising many ethical concerns about the desecration of a person’s body. Induced stem cells allow for the change of specialized cells back into stem cells. Organoids can now be created from any tissue sample, entirely limiting the need for embryonic stem cells outside of studying early organ development (Frans Schutgens & Clevers, 2019).

    With better ways to develop organoids, scientists quickly realized their potential. Organoids offer unparalleled advancement in disease research and treatment, personalized medicine, and so much more that we simply don’t have time for here.

    Image by Alexandra Marshall

    Disease Research and Treatment
    One pivotal area of applications is understanding the development of diseases and disease treatment in humans. The lack of 3D structure in in vitro models lead to limited complexity and physiological relevance when studying diseases. Faulty predictions based on these studies can lead to treatments failing, with approximately 90% of clinical study drug candidates failing clinical trials and drug approval (Sun et al., 2022).

    Organoid models have none of these limitations. In 2013, the first human condition modeled using organoids, cystic fibrosis, was published. The model had “excellent predictive value” and became the first successful personalized treatment method for cystic fibrosis patients (Lancaster and Huch, 2019). The modeling of other diseases using organoids quickly followed from genetic diseases like Polycystic kidney disease and Alagille syndrome, to infectious diseases like Covid-19 and the Zika virus, to neurological diseases like Alzheimer’s and Parkinson’s, to multitudes of cancers, and more (Xu et al., 2018). The ability for organoids to be made of any human system means they can model any disease regardless of which systems they afflict.

    Organoids can be also grown co-culturally with bacteria allowing for bacterial infections and the diseases that arise from them to also be modeled and researched with organoids (Schutgens and Clevers, 2020). This has allowed for better understanding of bacteria like Helicobacter Pylori and Salmonella, aiding in detection and cures. As mentioned above, treatments can then be tested on these organoid systems without risking human lives or animal cruelty.

    Respiratory Syncytial Virus (RSV), a disease that is being modeled in airway organoids, causes around 66,000–199,000 deaths among children annually (Schutgens & Clevers, 2020). This is just one of the many diseases for which scientists are now better equipped to find viable treatments. Organoids have already saved millions of lives and their potential for future disease treatment has the potential to millions more.

    Personalized Medicine
    While these treatments work for many people, genetic and biological differences can impact treatment effectiveness and tolerance with some even leading to negative side effects (Breen, 2021). In such situations, personalized medicine that is specialized to fit these differences might be necessary. Personalized medicine, sometimes called precision medicine, challenges the idea that treatments that pass general trials will work for everyone, instead working to construct a treatment plan with a specific patient in mind best suited to their physiology.

    The idea of personalized medicine has been around for thousands of years, using one’s family’s history of diseases to diagnose the likelihood of that person having said disease. In the late 1900s the idea of evidence based medicine, the implementation of explicit reasoning based on a specific patient’s data, started being common practice when prescribing a patient (Visvikis-Siest et al., 2020). This opened the door for personalized medicine in modern science (Visvikis-Siest et al., 2020). This data was largely based on patients’ reactions to other treatments and family history however limited its effectiveness. The development of molecular biology and human genome mapping allows for a direct look at a patient’s physiology, aiding medical professionals in determining the biological reasons behind potential reactions to treatments before administration limiting adverse reactions.

    Organoids have greatly furthered this field. As mentioned above, organoids are made from a patient’s induced stem cells. This means that the organoid culture into a structure based on the patient’s DNA, containing all the same biomarkers and physiology that the patient would have at that level. Where other treatments could have varying effects from the tested population, organoids allow medical professionals to see the exact effects a treatment plan would have on the patient. The use of stem cells also allows organoids to grow much quicker than other models. This allows for quick and accurate testing of the effects of medication on a patient. One study published in Science involving gastrointestinal cancer therapies found that organoids would correctly detect when drugs would fail 100% of the time, and when the drug would succeed 88% percent of the time (Vlachogiannis et al., 2018). Once again, because of the diversity of systems that organoids can model, organoids can be used to model many different personalized medicine plans allowing for the variety of treatment testing needed to find the most optimal plan.

    Conclusion
    Organoids have had a monumental, yet widely unknown, impact on a wide variety of disease advancement and treatment developments and personalized medicine. These structures can then be used to model human tissues and organs with much higher accuracy and complexity than previously used non-human or in vitro models.

    Scientists use them to model disease development in humans and treatments designed for humans. This allows for a better understanding of the diseases and more effective treatments with fewer errors. They are also used to limit the risk of negative side effects from non-personalized medicine by furthering personalized medicine through the accuracy and speedy testing of many different treatment options.
    With continued and careful development of organoids, disease understanding and treatments, personalized medicine and so much more can continue to be improved, saving millions of lives.

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    Work Cited:
    Agarwal, S., Saha, L., Sohani, A., Karri, U., Gor, R., & Ramalingam, S. (2024). The importance of niche in therapeutic strategies targeting normal and cancer stem cells. Cancer Stem Cells and Signaling Pathways, 15–33. https://doi.org/10.1016/b978-0-443-13212-4.00031-3

    Bredenoord, A. L., Clevers, H., & Knoblich, J. A. (2017). Human tissues in a dish: The research and ethical implications of organoid technology. Science, 355(6322). https://doi.org/10.1126/science.aaf9414

    Frans Schutgens, & Clevers, H. (2019). Human Organoids: Tools for Understanding Biology and Treating Diseases. Annual Review of Pathology Mechanisms of Disease, 15(1), 211–234. https://doi.org/10.1146/annurev-pathmechdis-012419-032611

    Generation and Cultivation of 3D Cell Models | ibidi. (2024). Ibidi. https://ibidi.com/content/1037-generation-and-cultivation-of-3d-cell-models

    Lancaster, M. A., & Huch, M. (2019). Disease modelling in human organoids. Disease Models & Mechanisms, 12(7). https://doi.org/10.1242/dmm.039347

    O’Connell, L., & Winter, D. C. (2019). Organoids: Past Learning and Future Directions. Stem Cells and Development, 29(5), 281–289.https://doi.org/10.1089/scd.2019.0227

    Schutgens, F., & Clevers, H. (2020). Human Organoids: Tools for Understanding Biology and Treating Diseases. Annual Review of Pathology: Mechanisms of Disease, 15(1), 211–234. https://doi.org/10.1146/annurev-pathmechdis-012419-032611

    ‌Simian, M., & Bissell, M. J. (2016). Organoids: A historical perspective of thinking in three dimensions. The Journal of Cell Biology, 216(1), 31–40. https://doi.org/10.1083/jcb.201610056

    Sun, D., Gao, W., Hu, H., & Zhou, S. (2022). Why 90% of clinical drug development fails and how to improve it? Acta Pharmaceutica Sinica B, 12(7), 3049–3062. https://doi.org/10.1016/j.apsb.2022.02.002

    Visvikis-Siest, S., Theodoridou, D., Kontoe, M.-S., Kumar, S., & Marschler, M. (2020). Milestones in Personalized Medicine: From the Ancient Time to Nowadays—the Provocation of COVID-19. Frontiers in Genetics, 11. https://doi.org/10.3389/fgene.2020.569175

    Vlachogiannis, G., Hedayat, S., Vatsiou, A., Jamin, Y., Fernández-Mateos, J., Khan, K., Lampis, A., Eason, K., Huntingford, I., Burke, R., Rata, M., Koh, D.-M., Tunariu, N., Collins, D., Hulkki-Wilson, S., Ragulan, C., Spiteri, I., Moorcraft, S. Y., Chau, I., & Rao, S. (2018). Patient-derived organoids model treatment response of metastatic gastrointestinal cancers. Science, 359(6378), 920–926. https://doi.org/10.1126/science.aao2774

    Xu, H., Jiao, Y., Qin, S., Zhao, W., Chu, Q., & Wu, K. (2018). Organoid technology in disease modelling, drug development, personalized treatment and regeneration medicine. Experimental Hematology and Oncology, 7(1). https://doi.org/10.1186/s40164-018-0122-9

  • Simple, Science-backed Ways to Slow Dementia

    Simple, Science-backed Ways to Slow Dementia

     

    What is Dementia?

    Dementia is a general term for a group of brain diseases. Its symptoms lead to a decline in memory, cognitive abilities, and daily functioning.

    How many people are affected?

    • Over 57 million people have dementia.
    • Alzheimer’s disease is the most common, contributing to 60%-70% of all cases.

    Hand Strength

    Fine motor movements activate brain paths that are in charge of memory, coordination, and neuroplasticity.

    • According to numerous studies, finger exercises of various types significantly improved cognitive function.
    • Some exercises include finger tapping, sewing, and knitting.
    • Additionally, hand dexterity has strong relations to dementia.
    • Deterioration of the hand motor function has been used as an early diagnosis to dementia.

    Physical activity

    Physical activity activates and increases blood flow, delivery of oxygen throughout the body, and neuron survival.

    • Moderate-to-vigorous physical activity is associated with a reduction of risk in all-cause dementia.
    • Engaging in even 5 minutes of Moderate-to-vigorous physical activity a day can reduce almost 50% of all-cause dementia risk.

    Early Intervention

    • In general, these prevention methods are less effective after the dementia has advanced.
    • Studies show that starting these prevention strategies early in life are most effective.

    References:

    Liu, J., & Shi, H. (2023, November 20). Finger exercise effects on cognitive functions in older adults with MCI/AD/dementia: A systematic review and meta-analysis of randomized controlled trials. Science Direct. Retrieved April 10, 2026, from https://www.sciencedirect.com/science/article/pii/S2949834123000338

    Namkoong, S., & Roh, H. (2024, April 25). Function of the hand as a predictor of early diagnosis and progression of Alzheimer’s dementia: A systematic review. PMC. Retrieved April 10, 2026, from https://pmc.ncbi.nlm.nih.gov/articles/PMC11191504/

    Wanigatunga, A. A., et. al., (2025, January 15). Moderate-to-Vigorous Physical Activity at any Dose Reduces All-Cause Dementia Risk Regardless of Frailty Status. Journal of the American Medical Directors Association. Retrieved April 10, 2026, from https://www.jamda.com/article/S1525-8610(24)00879-X/abstract

    WHO. (2025, March 31). Dementia. World Health Organization (WHO). Retrieved April 10, 2026, from https://www.who.int/news-room/fact-sheets/detail/dementia

     
  • The Ransomware Trust Paradox: How and Why Cybercriminals Want You To Trust Them

    The Ransomware Trust Paradox: How and Why Cybercriminals Want You To Trust Them

    Ransomware is a cybercrime idea as old as the computer itself. The idea is simple: break into a victim’s computer, encrypt all their files, and demand payment for decryption. That being said, the social dynamics at play during this interaction are anything but simple. Generally speaking, the cybercriminal has one goal: to get paid. In order for the victim to pay, they must trust that upon payment they will get their files back. This simple dichotomy gives rise to the Ransomware Trust Paradox

    The Paradox

    The Ransomware Trust Paradox, an idea coined by Max Smeets in April 2025, refers to the idea that inherently untrustworthy individuals or groups engaging in illegal access to often sensitive data must convince their victims of their trustworthiness to meet their ends (Smeets, 2025). This shows a marked difference between ransomware and other forms of both digital and conventional crime. Think about a bank robbery: both the robber and the ransomware operator have the same goal, to make money, but the bank robber is never trusted by the victim. Rather, they achieve their ends by force. What makes this idea so fascinating to me is the lengths ransomware groups will go to to secure trust from victims. To get an idea for this, let’s first look at the first ransomware, and see what is done differently today.

    The First Ransomware

    The story of the first ransomware is an interesting one, to say the least. It was created by Joseph Popp, an evolutionary biologist from Harvard working on AIDS research in the 80s. The malware was distributed by mailing floppy discs to attendees to a WHO conference on, believe it or not, AIDS research (O’Kane et al., 2018). Popp was quickly found and arrested, and while no one knows why he did this, his idea led to the creation of an entirely new criminal enterprise in ransomware. In premise, Popp’s ransomware worked on the same basic principle of ransomware today: infect a computer, encrypt everything, and demand payment for it back, but there were several key differences between Popp’s ransomware and modern ransomware. For one, his ransom note (the message telling victims what is happening and what they should do about it) was primitive and nowhere near visually appealing. On top of that, payment was asked to be sent to a PO Box in Panama (O’Kane et al., 2018). There was no clear indication of who the money was being sent to, or how sending cash to Panama would allow one to get their files back. Put yourself in the shoes of a researcher in the 80s. You probably wouldn’t pay in this situation, right? 

    Ransomware Today

    These days, there are plenty of ransomware groups following in Popp’s footsteps taking various approaches to gaining trust. One ransomware group, Darkside, states plainly in their ransom note that they are here to make money, and if they did not return on their promise to decrypt their victim’s data, no one would pay them going forward (Smeets, 2025). This approach is backed by psychology. Studies have shown that, when marketing to a customer, companies that state their intentions plainly are more likely to gain trust (Dayal, 1999). This extends to the ransomware domain because ransomware operators are also trying to gain trust to receive payment. Another group, BlackCat, engages in anonymous “press releases” to clear up rumors about themselves. In this instance, various news outlets had misattributed attacks to BlackCat, and their “press release” attempted to clarify that they were not making any purely malicious attacks, their sole purpose was to make a deal and return the encrypted data (Smeets, 2025). Another vector of trust groups have exploited rests in User Interface (UI) design. Studies show that just changing the UI in a payment portal increased the number of users who shared their contact information by 31.3% (Yashimi, 2020). This demonstrated that interfaces based on familiar items or other interfaces makes people more likely to give up information (Yashimi et al., 2020). During Conti’s time operating as a ransomware group, they exploited this by using a professional looking ransom note, and sleek payment portals that made victims feel like they were completing a legitimate business transaction. There are many other strategies too, including providing 24/7 customer support, and referring to victims as “customers” (Smeets, 2025).

    How Much Damage Does Ransomware Cause?

    While it is hard to know exactly how much ransomware is costing year over year, many estimates exist. One estimate from the FBI placed ransomware at a market worth of 200 million USD, with one ransomware family (Cryptowall) totalling 18 million USD in losses in the US alone (O’Kane et al., 2018). How much ransomware operators are asking for in one attack varies by the operator and sometimes by the estimated worth of data encrypted. One company, Symantec, put average ransoms around 679 USD, with some as large as 6285 USD (O’Kane et al., 2018). This of course varies with the price of bitcoin, which is the most popular way for operators to demand payment (Huang et al., 2017). But who is paying these large ransoms? Turns out that, according to a study by Huang et al., 74.5% of Cerber (another family of ransomware) targets were residential. Because these numbers were based on internet service providers, this means that most targets used residential routers, so likely households. While the study is limited in scope due to these numbers being only related to one family of ransomware, these numbers are striking. While only somewhere between 1% and 3% of victims pay the ransom (O’Kane et al., 2018), one can easily see how lucrative the ransomware business is. 

     

    Overall, the Ransomware Trust Paradox is a theory that I find fascinating, the idea that criminal enterprises engaging in explicitly untrustworthy activities are exploiting trust to meet their ends is something never seen in the criminal world before the introduction of ransomware. Tracing ransomware from its roots reveals the importance of this paradox in the operations of modern ransomware groups, and helps us think about how to better defend against them. Going forward, individuals and corporations can use this idea to make better value judgments when they are hit by ransomware, and better understand how to defend themselves against it. 

     

    References

    Dayal, S., Landesberg, H., & Zeisser, M. (1999). How to build trust online. Marketing Management, 8(3), 64. Retrieved from https://www.proquest.com/scholarly-journals/how-build-trust-online/docview/194194113/se-2

    Huang, D. Y., Aliapoulios, M. M., Li, V. G., Invernizzi, L., Bursztein, E., McRoberts, K., Levin, J., Levchenko, K., Snoeren, A. C., & McCoy, D. (2018, May 1). Tracking Ransomware End-to-end. IEEE Xplore. https://doi.org/10.1109/SP.2018.00047

    O’Kane, P., Sezer, S., & Carlin, D. (2018). Evolution of ransomware. IET Networks, 7(5), 321–327. https://doi.org/10.1049/iet-net.2017.0207

    Shutterstock. (2024). Ransomware. In Ransomware explained: How it works and how to remove it.

    Smeets, M. (2025). The Ransomware Trust Paradox. https://virtual-routes.org/wp-content/uploads/2025/04/Virtual-Routes-Pharos-Report-Series-No.-2.pdf

    Yashmi, N., Momenzadeh, E., Taghipour Anvari, S., Adibzade, P., Moosavipoor, M., Sarikhani, M., & Feridouni, K. (2020). THE EFFECT OF INTERFACE ON USER TRUST; USER BEHAVIOR IN E-COMMERCE PRODUCTS. Proceedings of the Design Society: DESIGN Conference, 1, 1589–1596. https://doi.org/10.1017/dsd.2020.103

  • The Artificial Turf Epidemic

    The Artificial Turf Epidemic

    Introduction:

    Over the years, a growing trend in sports has emerged with schools, professional teams, families, and even city parks switching from real grass to artificial turf. In my life alone, I have seen my friends’ families remove beautiful grass lawns, and my high school get rid of grass fields in favor of more expensive artificial turf. 

    History:

    First installed in 1966 at Houston’s Astrodome, artificial turf originally consisted of nylon carpet over compacted soil, and the trend of replacing natural grass with so-called AstroTurf continued due to its durability and low maintenance requirements (Cumberbatch et al., 2025). Even back then, many shared concerns about the grass, as, for the first time in human history, people ran on a human-made version of a natural surface. These issues have laid the foundation for modern discourse around playing surfaces, whether we should prioritize convenience or player opinions. 

    Current Use:

    Now, artificial turf uses synthetic polymers, with the top layer consisting of polymers attached to a textile with latex backing, and the infill made of recycled tires (Cheng et al., 2014). To emulate the shock absorption of real grass, artificial grass makers use sand laid over a shock pad made of materials such as rubber. These moves have increased its energy and water costs; however, they remain lower than those of maintaining a real grass field. 

    The new turf only needs water to cool it down at times due to its material’s high heat absorption and the lack of evaporation seen in normal grass (Cumberbatch et al., 2025). The new turf also excels in durability, with strong polymers preventing the grass from tearing and avoiding the dirt spots and rough patches characteristic of a normal grass field.

    While the new turf clearly excels in many areas, the areas it does not excel in have become the greatest sources of conversation, with its impervious surface limiting water infiltration and the synthetic grass having lower permeability to water (Cheng et al., 2014). Normal grass serves as a runoff area; as anyone who has played sports remembers, practice gets canceled because of heavy rainstorms. Furthermore, plastic pollution also becomes a major issue with artificial turf as microplastics, which do not biodegrade, linger in the environment and account for 15% of plastic debris in aquatic environments (Cumberbatch et al., 2025). Artificial turf also produces significantly more greenhouse gases than natural grass, and maintaining the grass increases the use of pesticides and cleaning solvents. Suppose you thought that you should just get rid of the synthetic grass and replace it with natural grass; even more issues emerge, as we do not have proper recycling facilities for artificial turf. 

    Health Risks:

    Health-wise, synthetic grass also raises serious concerns, as high surface temperatures increase the risk of dehydration and heat stroke (Reiad et al., 2025). The high presence of forever chemicals in artificial turf can also cause developmental issues, liver damage, and an increased risk of cancer (Reiad et al., 2025). Furthermore, athletes dislike the grass because of the increased risk of injury. In a study by John Powell, he linked artificial turf surfaces to increased knee injuries in professional football, and just from the top of my head, I can think of 10 bad lower extremity injuries from artificial turf, like Aaron Rodgers tearing his Achilles on his debut with the Jets and Dre Greenlaw doing the same in the Super Bowl. The NFL even conducted a poll in which 92% of athletes said they preferred natural to synthetic grass (The Associated Press, 2024). However, some studies have seen a greater concussion risk associated with natural grass, so you cannot simply say x is better than y in terms of injury risk. 

    Hopefully, this article has guided you to my research question: Why would anyone ever use synthetic grass? The NFL has proven, through this year’s World Cup, that it can switch fields quite easily. In Europe, nearly all professional soccer teams use grass, so why would baseball and football team owners use hated synthetic grass fields over nostalgic, beloved grass fields? The answer to your question is likely effort and money. 

    Appeal of Turf:

    When you walk on a field of grass, you may not realize the effort it took to avoid rolling your ankle on a divot or accidentally stepping on an ant hill, but maintaining a proper grass field requires continuous, multifaceted effort. It requires seasonal reseeding, watering, mowing and cutting, fertilization, and changing costs based on weather conditions. The costs behind these actions tend to add up, leading to high and even unpredictable costs at times, which has led organizations and teams to stray away from grass in favor of turf. To maintain a turf field, all you might need to do is brush the surface of artificial grass to make it stand up straight or remove any debris or stains on the field, but other than that, and maybe a light watering for cooling, the cost associated with cleaning and maintaining turf remains relatively steady. Turf withstands heavy use and weather better than grass, making it ideal for the US’s multipurpose stadium venues. Artificial turf appeals to owners because of its low-cost marketing, consistent playability, and stable costs, which allow them to more easily manage the tight budgets they deal with. Europe, in contrast, has a more holistic approach to sports, where the fans and players come first, prioritizing tradition over costs, making real grass a cultural priority in sports infrastructure.

    Conclusion:

    The grass vs. turf debate underscores the broader theme of convenience versus quality. While turf saves money and lasts longer, artificial grass can cause adverse health effects, may increase lower-body injuries, and sacrifice the traditional, beloved feeling of grass. In debating grass vs. turf, we are asking what we should prioritize. As technology advances, we must ensure our answer to the question not only makes budgeting easier but also maintains the quality that players love.

    References:

    Cheng, Hefa, et al. “Environmental and Health Impacts of Artificial Turf: A Review.” Environmental Science & Technology, vol. 48, no. 4, 2014, pp. 2114–2129. American Chemical Society, https://doi.org/10.1021/es4044193.

    Cumberbatch, Iman S., et al. “Artificial Turf Versus Natural Grass: A Case Study of Environmental Effects, Health Risks, Safety, and Cost.” Sustainability, vol. 17, no. 14, 2025, article 6292. https://doi.org/10.3390/su17146292.

    Macy. (2025). Artificial turf vs. natural grass football fields: The complete difference. Mighty Grass. https://www.mightygrass.com/artificial-turf-vs-natural-grass-football-fields/

    Reiad, Timothy A et al. “Comparing Sports-Related Orthopedic Injury Trends on Artificial Turf and Natural Grass: A 20-Year Nationwide Analysis of the NEISS Database.” Rhode Island medical journal (2013) vol. 108,7 41-47. 1 Jul. 2025

    The Associated Press. (2024, February 8). NFLPA head says 92% of players prefer playing on grass. FOX Sports. https://www.foxsports.com/stories/nfl/nflpa-head-says-92-percent-of-players-prefer-playing-on-grass 

  • Is My Nail Kit Causing an Allergic Reaction?

    Is My Nail Kit Causing an Allergic Reaction?

    Introduction

    DIY nail-art kits have skyrocketed in popularity since the Covid-19 pandemic, but what happens when your beloved nails and hobby turn into an allergy? Nail artists and people doing their nails for fun have started noticing their fingers becoming dry, red, and itchy after continuous use of gel-nail polish. Gel-nail polish, especially when left undercured, can lead to contact dermatitis, an allergic reaction causing itchy skin and a rash (Contact Dermatitis – Symptoms and Causes, 2024). Recent studies have shown that the materials used in gel-nail polish, specifically acrylates, have led to an uptick in contact dermatitis.

    What is in my nail kit?

    Gel nail-polish is a thin polish that is applied to the nail and then cured under UV-light. The main materials in gel-nail polish are acrylates (Baek & Adler, 2024). Acrylates are the salt form of acrylic acid, which is a type of carboxylic acid with a conjugated pi system, meaning there are alternating double bonds within the molecule (Acrylates, n.d.).

    Acrylates are known to cause allergic reactions when left uncured, partially uncured, and over multiple uses even if cured (Home of Nail Organization, n.d.). However, cases of contact dermatitis resulting from gel-nail polish use typically involve polishes that include isobornyl acrylate (IBOA) (Baek & Adler, 2024). Despite being present in just 1.5% of gel-nail polish, many polishes don’t list IBOA as an ingredient despite studies proving IBOA is in the polish (Baek & Adler, 2024). As stated previously, acrylates in general are known to cause allergic reactions, but the prevalence of allergic reactions to gel-nail polishes containing IBOA and the lack of proper ingredient reporting may be causing more people to develop contact dermatitis (Baek & Adler, 2024).

    What is the solution?

    There may be another solution to avoiding this allergy other than giving up on gel-polish. Methacrylates, which is the salt form of methacrylic acid, are similar to acrylates except for the additional methanol group in place of a hydrogen (Acrylates, n.d.). 

    Although methacrylate-base gel-polish cures more slowly, it causes less allergic reactions, and is being used in more polishes as an alternative to acrylates (Home of Nail Organization, n.d.). A dermatological study from Sweden has shown that gel-polishes made with methacrylates led to less positive patch tests than gel-polishes made from acrylates (Dahlin et al., 2016). A patch-test is a test for a skin-based allergic reaction. A patch with a small amount of a potential allergen is applied to the skin for a period of time and then removed to see if the patch contained an allergen (Patch Testing for Skin Allergies: Procedure & Results, 2025). 

    There were still cases of contact dermatitis occurring from methacrylate-based gel-nail polish. While some of these cases were tied to small methacrylates, many of them were caused by polymerized methacrylates, which is a larger chain of methacrylates, specifically di-hydroxyethylmethacrylates (HEMA). Despite these cases, acrylates may still be the culprit to contact dermatitis in gel-olish as the study did not investigate the purity of these polishes, especially for the containment of acrylates in the polish (Dahlin et al., 2016). 

    Conclusion:

    Gel-nail polish usage has caused contact dermatitis in nail artists and non-professionals alike. Acrylates and methacrylates can both cause these unwanted allergic reactions, but research has shown a stronger correlation between acrylates and contact dermatitis. Additionally, specific acrylates, ones known to cause higher rates of contact dermatitis, have been left unreported by manufacturers. Manufacturers don’t report the purity of the ingredients used in home-nail kits either, making you wonder what’s really in your nail polish and how you can protect your skin from allergies. 

    References:

    Acrylates. (n.d.). Safe Cosmetics. Retrieved April 10, 2026, from https://www.safecosmetics.org/chemicals/acrylates/

    Baek, P., & Adler, B. L. (2024, July). Allergic contact dermatitis to isobornyl acrylate in a home nail glue. Contact Dermitis, 91(1), 64-66. https://doi.org/10.1111/cod.14541

    Contact dermatitis – Symptoms and causes. (2024, May 2). Mayo Clinic. Retrieved April 9, 2026, from https://www.mayoclinic.org/diseases-conditions/contact-dermatitis/symptoms-causes/syc-20352742

    Dahlin, J., Berne, B., Duner, K., Hosseiny, S., Matura, M., Nyman, G., Tammela, M., & Isaksson, M. (2016, September). Several cases of undesirable effects caused by methacrylate ultraviolet-curing nail polish for non-professional use. Contact Dermatitis, 75(3), 151-156. https://doi.org/10.1111/cod.12608

    Home of Nail Organization. (n.d.). The Difference Between Acrylates & Methacrylates in the Nail Formulas. Home of Nail Organization. https://www.homeofnailart.com/blogs/knowledge-hub/understanding-acrylates-and-methacrylates-in-the-nail-industry-more-than-just-a-name?srsltid=AfmBOoq1e_vC7XlGEZpMAGF27cLzBMSHEsosthYFAWRRzrgMu6EICJS0

    Patch Testing for Skin Allergies: Procedure & Results. (2025, April 21). Cleveland Clinic. Retrieved April 10, 2026, from https://my.clevelandclinic.org/health/diagnostics/patch-test

  • What Canon Captures CoCo?

    What Canon Captures CoCo?

    On March 13, 2026, the Georgia Tech Center of Excellence in Computational Cognition (CoCo) held its sesquiannual Computational Cognition Conference (CoCo Con) – an event where researchers from Georgia Tech and other Atlanta area universities working at the intersection of the mind and advanced computing to gain insights into both human cognition and artificial intelligence could come together and collaborate. Attending both as a student who is studying CoCo and someone who was documenting the event for the Institute, the conference itself was very interesting, as over 100 researchers from various disciplines, such as neuroscience, psychology, computing, mathematics, and physics, came together to share surprisingly similar research spanning across all disciplines— from exploration and avoidance in anxiety, what makes music memorable, the theory of mind in humans and machines, dynamic drift diffusion modeling, and the structure of memory for narratives – there was no shortage of interesting and insightful discussion on the inner mechanism of the mind. However, what stood out the most was how the conference ended. Ending with a panel of interdisciplinary researchers trying to define CoCo was arguably the most interesting conversation of the day, especially as a student studying and doing research within this field. This section was particularly interesting because while all of these people claimed that what they do is computational cognition, they all did distinctly different things and, therefore, none of them could similarly define computational cognition, further complicating the panel’s theme of attempting to define a clear CoCo canon.

    Typically, especially in the case of STEM disciplines, researchers often don’t take into consideration that their fields arise through a defined canon, or set of literature and ideas that fundamentally define and drive their field (Easterling, Patricia E, 2015). For example, a piece of canon from a STEM field that many should be familiar with, from chemistry, for example, is the relationship between a chemist and the periodic table. Any chemist you talk to should know the periodic table, and to some extent, whether directly or indirectly, and work with it in some capacity pretty much daily. However, In the case of CoCo, a canon is much harder to define, as stated by a panelist at CoCo Con 2026, CoCo is “an interdisciplinary space trying to become a disciplinary space,” and this is what makes it challenging to articulate set boundaries or literature that define what is CoCo and what is in the same sense that the period table serves as an integral component that allows us to articulate what chemistry is.

    The easiest place to start in all of this is arguably Google, as even professionals, such as the director of the GT CoCo Center of Excellence, will rely on Google sometimes – for example, to help articulate CoCo Cons’ occurrence; “sesquiannual is the word the AI gave.” As defined by Google, “computational cognition is the scientific study of the mind and its processes—such as learning, reasoning, and perception—using mathematical modeling, computer simulations, and behavioral experiments.” While this definition works, especially in the case of the research I am involved with, which is language cognition and intelligence research in a computational cognition and neuroAI lab, this definition fails to capture the full extent of what everyone at CoCo Con 2026 studies. 

    For example, a talk that stood out to me was from a researcher looking at the overall impact of how researchers are preparing for the ethical, social, and practical challenges that studying brain data brings – this includes the common practice of following proper IRB participant confidentiality guidelines, and open-sourcing brain data. While open-sourcing isn’t inherently a negative thing, in the case of brain data, an inherent clause arises in essentially protecting participants’ thoughts, as, while from our current knowledge, there’s no way to read inherent thoughts from neural data, as often neural data is some result of system dynamics rather than direct neural signals, there’s no telling what we could do in the future leading to an interesting predicament that is inarguably a CoCo problem. 

    Additionally, a possible literature base for CoCo was discussed; however, following a similar trend as in trying to define what CoCo even is, this also proved challenging due to many interesting caveats. For example, as a neuroscientist, I am familiar with and have even read some literature, such as Donald Hebb’s highly influential and fundamental 1949 book The Organization of Behavior, and while I would argue that this is a fundamental article for what I do, which is arguably CoCo, a physicist who also claims to do CoCo would most likely have little to no reason to read a book that argues the for fundamental concept in another discipline that simply states that “neurons that wire together, fire together.” Ultimately, to a physicist, the dynamics of why would matter more than the concept, so while I may consider this as canon-defining literature in regards to what I do, why should a physicist care? This idea then further brings to light the idea that while CoCo is defined as a discipline, defining what CoCo is depends on perspective and implementation rather than a coherent disciplinary problem.

    Overall, while it may be challenging to define a domain such as CoCo, as articulated by a conference attendee, “in recent years, it has become very apparent to us that we have new ways to study the brain.” Whether this be through using mathematical modeling, computer simulation, or behavioral experiments, this disciplinary space is inherently interdisciplinary. Ultimately, I feel that while it would be convenient to define a canon for CoCo from a communications perspective, it might be better not to define a set canon for CoCo and let the field continue to flourish as an interdisciplinary, disciplinary space that brings together specialists from a vast array of domains to study the mind and its processes.

    If you would like to read more about the event, read about it here: https://neuro.gatech.edu/computational-cognition-conference-showcases-georgia-techs-advancements-research-related-mind

    References 

    Easterling, Patricia E, ‘canon’ (30 July 2015), in Lucy Grig (ed.), Oxford Classical Dictionary (New York, NY, online edn, Oxford Academic, 15 July 2015 – ), https://doi.org/10.1093/acrefore/9780199381135.013.1342, accessed 3 Apr. 2026.

    Hebb, D. O. (1949). The organization of behavior: A neuropsychological theory. Wiley. 

  • Has Plastoline made gasoline renewable and free?

    Has Plastoline made gasoline renewable and free?

    Has Plastoline made gasoline renewable and free?

    @naturejab is a content creator who’s claimed to be able to recycle plastic into a fuel dubbed “plastoline” using solar-powered microwave pyrolysis for free. Having amassed over 76 million views on his flagship TikTok video1(that is, the one pinned to the top of his account), Julian Brown has his share of both fervent supporters who claim he’s revolutionizing the fuel industry and needs to hide from the government(see comment section), and skeptics who claim he’s “selling snake oil”.2

    @naturejab

    Making Gasoline for Free by Using Plastic and Solar Energy 🤙⛽️

    ♬ original sound – Julian Brown

    Being a chemist, I’m not the type to take him for his word, that is, without the presence of reproducible analytical data confirming that he’s actually made what he says he’s made (which is nowhere to be found on any of his social media or on his personal website). But with plastic waste harming the ocean and planet at levels prompting international collaboration,3 part of me really wanted to believe that he had found a novel solution. 

    This article jabs into the nature of Brown’s venture by analyzing this pinned video in comparison with the literature surrounding the science: both what is promising about his project, and where his promises fail. And we get to learn some organic chemistry along the way!  

    So where does gas typically come from?

    Gasoline and other fuels are derived from distillation, the process of heating a mixture in order to separate compounds based on molecular weight, of natural gas and crude oil (the gas and oil that comes straight out of the ground). Natural gas and crude oil are mixtures of molecules primarily comprised of carbon and hydrogen (aptly referred to as hydrocarbons). Heating crude oil until vaporization in a specialized distillation apparatus (like the one shown below), allows it to cool and condense into its constituent parts, more specialized hydrocarbon mixtures.5 For example, gasoline is one of these mixtures, consisting of hydrocarbons between 4 and 12 carbons in length.4

    Diagram of a fractional distillation column from chemistry textbook
    Fractional Distillation Column, sourced from OpenStax Chemistry5

    What does this have to do with plastic?

    Many of the molecular mixtures separated out of crude oil can be (almost) used as fuel in various contexts. However, much of the mixture is separated into something that, well, can’t. Chemists probably worked day and night to try to turn this waste product into something profitable for their companies, but it wasn’t until 1951, when two chemists from Phillips Petroleum discovered a relatively easy way to transform propene into polypropylene, that the material plastic was born.6

    The (basic) chemistry of plastics

    We can describe plastic as a kind of molecule called a polymer (from the Greek poly-, meaning many, and –mer, meaning part). In the case of polypropylene, the “-mers” or as we say in chemistry, monomers (mono meaning one, and -mer also meaning parts) are propene, derived from a petroleum waste product: the gas propane.

    Basic reaction scheme describing how propane transforms into polypropylene

    Using some chemical sorcery beyond the scope of this article (but definitely worth looking into if you’re interested), we can prompt these monomer subunits to link together to form massive polymers—in our case, chains of hydrocarbon monomers from 50-1000 monomers long, creating the class of materials we know as plastics. 

    Many chemistry careers later, we have a wide variety of molecules derived from these original hydrocarbon chains that are used as materials in clothes, food packaging, cars, toys, electronics—you name it! And in context, this is seemingly awesome. We now have a material that can be used in both durable and delicate creations, one that won’t succumb to the elements, one that can last for hundreds of years7…. wait a second…

    The Problem with Plastics

    Millions of tons of plastic have been created, and the millions that have been discarded following industrial and consumer use are not readily biodegradable. This has unfortunately led to harming of both aquatic and terrestrial life, including, as scientists have discovered, humans.8

    So how do we get rid of them?

    To avoid killing the planet and everything on it, scientists got to work developing methods to break down these persistent polymers.9 Remember how when we originally created this plastic, we created chains of hundreds to thousands of monomers? Well, what if we took the plastic polymer, and heated it enough to vaporize and break down into smaller chains, made of only a few carbons? 

    This is the idea behind 

    Pyrolysis

     A synthesis of the Greek prefix “pyr-” meaning heat or fire, and “-lysis” meaning “loosening”. 10 And in our case, we’d be “loosening” some of the bonds in this polymer by applying energy to them through heat, creating smaller hydrocarbon chains. So simply burning the plastics already dumped into landfills seems like it could be a solution to combat waste. Unfortunately, this has been shown to create persistent, toxic, products adding to the environmental harm of plastic.11

    But under a vacuum, harnessing and carefully distilling crude hydrocarbon mixtures (like we did to the crude oil earlier) created by pyrolysis has been shown to yield fuel-like compounds  (4-12 carbon hydrocarbons).12

    And although the technology has not been applied on an industrial scale as of yet, using a continuous reactor setup using microwave radiation instead of traditional heating methods has been shown to be a less energy-intensive (and thus better for the environment) way to break down a variety of plastic polymers in this way.13 And funnily enough, continuous microwave reactor pyrolysis is the technique Julian Brown uses to create Plastoline– his plastic-derived fuel. 

    The Plastoline Process

    Upon inspection, Brown’s process appears to be legitimate– that is, it appears to align with continuous microwave pyrolysis reactors shown in scientific literature13.

    From left to right, these frames I grabbed from the video1 illustrate:

    1. the manual breakdown of a variety of plastic  materials
    2. their addition to the reactor and subsequent vaporization
    3. collection of crude material from under vacuum (the pump is displayed beneath his right hand)
    4. distillation of crude material
    5. using propane(??)(non-renewable natural gas, -1 environmentally friendly points)
    6. and distilling some liquid over (at an unknown and unshown temperature)

    What is the quality like?

    When tested with an ‘octane rater’ on camera, with a model I found on Amazon14 (with zero reviews), the product receives an octane rating of 110. Assuming then, that this is in fact gasoline, that’s pretty great. Octane rating is a given fuel’s resistance to spontaneous combustion under high temperature and pressure, where a higher rating means a fuel is less likely to spontaneously combust and can thus be used in nicer, more powerful engines.15

    Plastoline? Or Plastolies?

    So is Brown’s Plastoline the future of fuel? To be honest, I don’t think so, at least not yet. While his setup appears promising and aligns at least physically with those appearing in the scientific literature, the lack of analysis of the resulting product means he could just be lying, as much as I personally don’t want to believe that. Apart from that, we are missing a lot of data that could tell us about the energy and chemical efficiency of this project, i.e. if it’s a viable solution for refining fuel from plastic in an environmentally-friendly manner. For example, we don’t know how much plastic-burnt waste product is being leaked into the atmosphere around his setup.

    The gasoline you put in your car also contains many additives meant to increase the lifespan of your engine and help it run more smoothly4, which Plastoline, as a purported refined hydrocarbon mixture, does not contain (but possibly could in the future, with some modifications).

    As a human being, I’m excited by the work that Brown is doing (along with millions of others), and I think it’s super cool that he’s created this whole setup, including welding his own reactor together, entirely in his parents’ backyard. More recent work of his shows him modifying minivans with jet engines to get a vehicle to supposedly run off of Plastoline, which is at the very least, really entertaining. But as a scientist, until I see some legit analysis come out of this project, I have to remain skeptical. 

    Citations

    1. naturejab. (2023, June 7). TikTok video [Video]. TikTok. https://www.tiktok.com/@naturejab/video/7548988444844870942?is_from_webapp=1&sender_device=pc&web_id=7519262020723688973
    2. Reddit. (2013, March 15). Is naturejab on YT real? Reddit. https://www.reddit.com/r/chemistry/comments/1d4jf3c/is_naturejab_on_yt_real/
    3. United Nations Environment Programme. (n.d.). Plastic pollution. https://www.unep.org/plastic-pollution
    4. National Center for Biotechnology Information. (n.d.). Gasoline hydrocarbons. In Chemistry, manufacturing, and use of gasoline. https://www.ncbi.nlm.nih.gov/books/NBK594140/#:~:text=The%20typical%20composition%20of%20gasoline%20hydrocarbons%20is:,*%20Upper%2Dcylinder%20lubricants%20*%20Detergents%20*%20Dyes
    5. OpenStax. (n.d.). 20.1 Hydrocarbons. In Chemistry 2e. https://openstax.org/books/chemistry-2e/pages/20-1-hydrocarbons
    6. American Chemical Society. (n.d.). Polypropylene: A landmark in chemistry. https://www.acs.org/education/whatischemistry/landmarks/polypropylene.html
    7. American Chemistry Council. (2010, March 17). History of plastics [Archived page]. https://web.archive.org/web/20100317004747/http://www.americanchemistry.com/s_plastics/doc.asp?CID=1571&DID=5972
    8. Welden, N. A. (2020). The environmental impacts of plastic pollution. In M. J. Castaldi (Ed.), Plastic waste and recycling: Environmental impact, societal issues, prevention, and solutions (pp. 195–222). Academic Press. https://doi.org/10.1016/B978-0-12-817880-5.00008-6
    9. Ellis, R. J., & El-Shall, M. S. (2020). Pyrolysis of polymers: Mechanisms and products. In M. J. Castaldi (Ed.), Polymer pyrolysis: Fundamentals and applications (pp. 123–145). Elsevier. href=”https://www.sciencedirect.com/science/chapter/edited-volume/pii/B9780128178805000086″>https://www.sciencedirect.com/science/chapter/edited-volume/pii/B9780128178805000086
    10. Zhang, H., & Wang, X. (2019). Catalytic thermal degradation of plastics. In Y. Sun & T. Wang (Eds.), Advanced polymer recycling (pp. 201–225). Elsevier. https://www.sciencedirect.com/science/chapter/edited-volume/pii/B9780128131404000133
    11. Online Etymology Dictionary. (n.d.). Pyrolysis. https://www.etymonline.com/word/pyrolysis
    12. Nature Catalysis. (2025). Sustainable chemical recycling of plastics. Nature Catalysis, 8(2), 101–110. https://www.nature.com/articles/s44407-025-00015-8
    13. Nature Scientific Reports. (2024). Plastic waste conversion via catalytic pyrolysis. Scientific Reports, 14, Article 71958. https://www.nature.com/articles/s41598-024-71958-3
    14. Oktis. (n.d.). Oktis portable analyzer: Instructions and product info. Amazon. https://www.amazon.com/%D0%BE%D0%BA%D1%82%D0%B8%D1%81-Oktis-Portable-Analyzer-Instructions/dp/B0FJ6DV2PF
    15. Kolb, D. (2010). Polymer recycling techniques. JSTOR, 27(2), 45–63. https://www.jstor.org/stable/44468563?seq=3