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News

pregnant woman with stacks of $100 bills

Sticker Shock

October 2, 2017

Pre-packaged brand version of compounded medication to prevent preterm births costs 5,000 percent more

Young girl and boy at the beach

Gender Patterns

September 25, 2017

Largest study to date reveals gender-specific risk of autism occurrence among siblings

stock

Gene Screen

September 12, 2017

Large genomic databases hold clues linking genetic mutations to future disease risk

people sitting around a conference room table

New MBI Cohort Welcomed

September 11, 2017

This month the Department of Biomedical Informatics at Harvard Medical School welcomed the next cohort of students in the Master of Biomedical Informatics (MBI) program.

codepipeline

DBMI DevOps

August 31, 2017

Informatics infrastructure enabling DBMI research

Collage of NHANES JSON data from PIC-SURE demo, UpSet visualization sample, and DBMI Github repo

Datathon/Hackathon Sep 14–15

August 21, 2017

Biomedical Data Visualization and User Interfaces using the PIC-SURE API as a backend service

Washington DC - Foggy Bottom: National Academy of Sciences - Einstein Memorial | Photo by Wally Gobetz

Making "Open" the Default Setting for Science

August 15, 2017

The National Academy of Sciences (NAS) recently selected DBMI’s Alexa McCray, Professor of Medicine, to chair a committee on broadening access to the results of scientific research.

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Predicting TB's Behavior

August 3, 2017

Can new molecular tests beat standard lab cultures in predicting TB outcome?

Mycobacterium tuberculosis bacteria (CDC 2006)

Resistance Fighters

July 17, 2017

Maha Farhat and Michael Baym come together in DBMI to stem the rising tide of drug resistance

yellow and black bullseye

Bull's Eye

July 5, 2017

Harvard Medical School's Precision Medicine Symposium tackled a range of topics, including making sense of new data, the role of citizen-scientists and collaborations between industry and academia.

crowd of people at night

Damage Control

May 5, 2017

The survival of the human species in the face of a high number of incoming genetic mutations has remained an important problem in evolutionary biology.

Rather than assuming that all novel predictions are false, repoDB contains both true positives (approved drugs) and true negatives (failed drugs).

repoDB: Antidote to an Unsatisfying Assumption

March 26, 2017

Computational drug repositioning methods will be better validated by true negatives from failed drug trial data

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