The COVID-19 global health crisis brought about a reality few could imagine in their lifetime. Even those in the United States, who experienced the HIV/AIDS epidemic and 9/11 lockdown measures, have never quite seen something like the current global state

For radiologists, detecting abnormalities in medical images can be as difficult as finding a needle in a haystack. It can take hours for radiologists to go through a single scan, and there are a limited number of medical professionals trained

In March, at the dawn of the COVID-19’s assault on the US, the Department for Health and Human Services finalized two rules designed to give patients access to their electronic health records (EHR) and improve interoperability [1]. Getting the electronic

After a year and a half of pipetting, running gels, and peering through microscopes, I finally submitted my undergraduate thesis last month. In it, I was looking at the role that particular proteins played in driving inflammatory bowel disease, a

Last semester, our staff writer Nikita published a piece on computational psychiatry, which analyzes the upstream and downstream ramifications of novel mental health technologies. In this piece, I want to focus on a mental health innovation that is straightforward from

When I think about the field of computational psychiatry, I imagine a robot sitting opposite a highly emotional teen, cross-legged with a pen and notebook in arm. The robot tries to console the kid with its mechanic voice while scanning

In this piece, I will be sharing my thoughts on where software has a role in designing and manufacturing biologic drug candidates. More precisely, I want to argue for why it is really, really hard for today’s computational approaches to