There was no sugarcoating the day’s topics. What can data science tell us about the intelligence of Ashkenazi Jews? Can bioinformatics give us insights into how prehistoric human migrations have influenced genetic diseases today? What can data mining reveal about health disparities among different ethnicities? More importantly, can these data—and their interpretation—be trusted?
The possible link between physicians’ opioid prescription patterns and subsequent abuse has occupied the attention of a nation in the throes of an opioid crisis looking for ways to stem what experts have dubbed an epidemic.
Harvard Medicine, formerly known as the Harvard Medical Alumni Bulletin, has been going strong since 1927. Published three times a year, the magazine captures the work of the Harvard Medical School research and alumni communities and illuminates their contributions to human health.
If you are a quantitatively oriented science undergrad seeking a great summer internship, DBMI’s Summer Institute in Biomedical Informatics would like to invite your application to our nine-week immersion experience.
Not many people look at a beautiful rugged mountain landscape and think of genetics. Fortunately or unfortunately, I am one of them now. How did I get here? It all started with a meeting with my soon to-be advisor, Shamil Sunyaev, at Harvard Medical School. Other than telling me that he was Tatar and “culturally muslim,” he also drew me a picture and told me a story. The mutation rate in humans is too high he said—how do we survive? He drew a histogram and drew an arrow with a big capital U pointing at it. On this histogram of mutation burden per individual, the U (representing the per-genome rate of deleterious mutations) was referring to the fact that every generation a newborn human is estimated to receive ~70 new mutations that the parents did not have. While mutations provide a source of novelty, a large fraction of them can also be damaging for the individual and the species.