Genetic and Environmental Factors for Type 1 Diabetes
Weighs inherited versus environmental risk factors for disease onset, with a focus on modifiable exposures such as early-life diet and infections.
Improving Skin-Disease AI Accuracy Across Skin Tones
Tests whether balancing training data by skin tone makes dermatology AI more accurate for patients with darker skin.
3D-Printed Prosthetics with e-NABLE
Documents designing, printing and fitting a low-cost open-source prosthetic hand, comparing materials and joint designs.
Predicting Heart Disease with Non-Clinical Variables
Predicts heart disease risk from easy-to-report information like lifestyle and family history, as a low-cost screening aid.
Predicting Rheumatoid Arthritis Susceptibility
Adds socioeconomic and population-diversity factors to clinical data to build a fairer, more representative risk model.
Stratifying Lung Cancer Patients with Multimodal Data
Combines imaging, clinical and molecular data to group patients by risk and subtype for more personalized care.
AI-Driven Knee Osteoarthritis Detection
Trains a computer-vision model to detect and grade osteoarthritis on knee X-rays to support clinical judgment.
Breast Cancer Detection
Compares machine learning classifiers on diagnostic data against clinical benchmarks for sensitivity and specificity.
Predicting Freezing of Gait in Parkinson's Disease
Uses walking force data to detect and anticipate freezing episodes, aiming at earlier fall-prevention warnings.
Predicting Medical Supply Shortages
Learns early warning signs from trade and government data to flag drugs at risk before they run out.
Geographic Prediction for Sickle Cell Disease
Estimates where undiagnosed cases are likely, ranks districts for intervention, and models inheritance risk for couples.
Cancer Cell Drug Response Under Metabolic Stress
Predicts how cancer cell lines respond to glucose restriction combined with thousands of candidate drugs.
Predicting Surgery Duration
Predicts how long operations will take from surgical records to improve operating-room scheduling.
Predicting Hospital Admission and Readmission Risk
Flags high-risk patients from medical history and demographic data to support earlier intervention and bed planning.