AI for Precision Medicine, Data Management, and Wearables

AI-powered technologies spanning drug discovery, precision medicine, patient monitoring, and data analytics. Innovations include computational prediction of molecular interactions, disease biomarkers, therapeutic targets, real-time clinical decision support, and advanced data management for complex datasets.

Key investigators include:

AI for Drug Discovery & Precision Medicine

S20-207
ComBind: Enhanced Protein-Ligand Structure and Affinity Prediction Platform
- Ron Dror
- Joe Paggi
S22-498
A Machine Learning–Based Immune Profiling Panel to Predict Cerebral Bleeding Risk
S21-193
Prediction of RNA structure with equivariant neural networks
S22-130
Machine Learning Models for In Silico Antibody Evolution
S22-119
Sequential fragment-based ligand generation guided by geometric deep learning on protein-ligand structures
S19-020
MARIA-Neural network for accurate prediction of HLA class II antigen presentation
S14-069
FragFEATURE: Knowledge-based Fragment Binding Prediction using Unsupervised Machine Learning
- Grace Tang
- Russ Altman
S22-156
Imaging features for treatment selection, disease monitoring, and outcome prediction
- Haruka Itakura
S15-348
Methods for interpreting whole-exome next generation sequencing
S24-168
A Generalist Foundation Model for Medicine (MedFM) Achieving Human Level Performance Across Multiple Disciplines
- Alexander Thieme
- Olivier Gevaert

Data Labeling & Data Management

Consumer Health/Wearables AI

S21-047
Self-Supervised Learning of Electrocardiogram (ECG) Signals

AI for Precision Medicine, Data Management, and Wearables

AI for Drug Discovery & Precision Medicine

ComBind: Enhanced Protein-Ligand Structure and Affinity Prediction Platform

A Machine Learning–Based Immune Profiling Panel to Predict Cerebral Bleeding Risk

Prediction of RNA structure with equivariant neural networks

Machine Learning Models for In Silico Antibody Evolution

Sequential fragment-based ligand generation guided by geometric deep learning on protein-ligand structures

MARIA-Neural network for accurate prediction of HLA class II antigen presentation

FragFEATURE: Knowledge-based Fragment Binding Prediction using Unsupervised Machine Learning

Imaging features for treatment selection, disease monitoring, and outcome prediction

Methods for interpreting whole-exome next generation sequencing

A Generalist Foundation Model for Medicine (MedFM) Achieving Human Level Performance Across Multiple Disciplines

Data Labeling & Data Management

Reconfiguration of Tabular Data for Discovery of Deep Interaction Features and its Applications in Analysis of Multidimensional Data

Anomaly Detection in Complex Data Streams

Consumer Health/Wearables AI

Self-Supervised Learning of Electrocardiogram (ECG) Signals

Life Sciences

Physical Sciences

Sustainability

Artificial Intelligence