Technique reveals whether models of patient risk are accurate
Computer scientists’ new method could help doctors avoid ineffective or unnecessarily risky treatments.
Whitehead Institute receives $10 million to study sex chromosomes’ impact on women’s health
Gift establishes the Brit Jepson d’Arbeloff Center on Women's Health.
How well can computers connect symptoms to diseases?
Models that map these relationships based on patient data require fine-tuning for certain conditions, study shows.
In health care, does “hotspotting” make patients better?
Study shows no effect from program intended to reduce repeated hospitalizations by targeting high-cost patients.
New health insurance insights
Economists analyze how patients and health care providers value Medicaid.
Planning for death, as a way to improve life
Startup co-founded by alumna Suelin Chen helps people share their end-of-life wishes with loved ones.
Producing better guides for medical-image analysis
Model quickly generates brain scan templates that represent a given patient population.
Machine learning shows no difference in angina symptoms between men and women
Finding could help overturn the prevailing notion that men and women experience angina differently.
Optimizing kidney donation and other markets without money
MIT economist Nikhil Agarwal analyzes the efficiency of markets that match suppliers and consumers but don’t use prices.
Computer science in service of medicine
Senior Kristy Carpenter aims to leverage artificial intelligence and other computational tools to develop new, more affordable drugs.
Recovering “lost dimensions” of images and video
Model could recreate video from motion-blurred images and “corner cameras,” may someday retrieve 3D data from 2D medical images.
Robots help patients manage chronic illness at home
Move over, Alexa and Siri. Talking Mabu robot provides one-to-one support while relaying information to doctors.
Using algorithms to build a map of the placenta
New technique stretches out MRI scans of placentas so they can be more accurately analyzed, and shows the potential of MRI for pregnancy monitoring.
Uninfected patients key to improving Ebola response
New methodology may be used to respond to other endemic diseases.
Using machine learning to estimate risk of cardiovascular death
CSAIL system uses a patient's ECG signal to estimate potential for cardiovascular death.