Category: 2024-25

2024-25, Biology, education, Health, Health and Medicine, mental health, well-being

EEG Research in Maternal Health – Implications and Resolutions of Racial Disparities

Author: Luis Caseñas, Class of 2026 Figure 1: EEG cap and electrodes placed on the head of a participant; the blunt nature of these electrodes works better with hair types from a white population rather than black. Maternal health refers to mothers’ physical and mental well-being during pregnancy, childbirth, and postpartum. In the study of maternal health, electroencephalography (EEG), which generates event-related potentials (ERPs), is … Continue reading EEG Research in Maternal Health – Implications and Resolutions of Racial Disparities

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2024-25, COVID-19, Health, Health and Medicine, Technology

Telemedicine Visits: Alternative Approach to Healthcare?

Author: Amal Bilal, Class of 2028 Figure 1: Doctor and patient using telemedicine. Telemedicine has become increasingly popular because of its ability to increase savings for patients and providers, reduce hospital readmissions, and enhance patient quality of care. The COVID-19 pandemic saw an 80% decline in in-person health visits and a 683% increase in telemedicine visits between March 2 and April 14, 2020 (1). Teleophthalmology, … Continue reading Telemedicine Visits: Alternative Approach to Healthcare?

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2024-25, Biology, Computer Science, Physics and Technology, Technology

Harnessing the Attention-Grabbing Power of Video Games for Scientific Progress

Author: Sean Krivitsky, Class of 2026 Figure 1. Oil painting visualization of a video game player. Citizen science is a common strategy employed by researchers across many specializations to harness the input of the public to further scientific research. The billions of video game players worldwide posed an opportunity for scientists using citizen science and, from there, emerged Citizen Science Games (CSGs). However, converting scientific … Continue reading Harnessing the Attention-Grabbing Power of Video Games for Scientific Progress

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2024-25, Biology, Cancer, Cell Cycle, Cellular and Molecular Science, Chemistry, Health and Medicine, Molecular Biology

Understanding the Mechanisms of the Leading Cause of Death in Cancer Patients

Author: Sean Krivitsky, Class of 2026 Figure 1. Animated representation of the release of cytokines in the extracellular environment. Cancer is a disease that wreaks devastation on the bodies of the patients it afflicts. Cancerous tumor cells lead to the sickness observed in cancer patients in a variety of ways, but one of the primary causes of cancer-related sickness and death is referred to as … Continue reading Understanding the Mechanisms of the Leading Cause of Death in Cancer Patients

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2024-25, Biology, Brain, General Neuroscience, Health, Technology, well-being

Skill Issue: The Effect of FPS Games on Cortical Activity

Author: Ishmam Khan, Class of 2025 Figure 1: The FPS genre of gaming has widespread connections around the world, demonstrating its popularity The FPS, or first-person shooter, genre of gaming has a controversial history. In the 1990s, there was a scare regarding the impact such games would have on children. Some worries included, but were not limited to: increased levels of aggression, poor emotional and … Continue reading Skill Issue: The Effect of FPS Games on Cortical Activity

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2024-25, Computer Science, Computer Science, COVID-19, Depression, General Neuroscience, General Psychology, Machine Learning, mental health, Technology

What do Machines Know of Depression? Explaining Past Failures of Clinical Algorithms About MDD

Author: Ishmam Khan, Class of 2025 Figure 1: MDD is a devastating, extremely common, and fast-growing disease in terms of suffering, mortality, and cost to society. Since COVID-19, the rates of mental health disorders have increased significantly. One such disorder is Major Depressive Disorder (MDD), a serious disorder affecting more than 8% of the US population. As of 2024, the remission rates, or rate of … Continue reading What do Machines Know of Depression? Explaining Past Failures of Clinical Algorithms About MDD

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