Therapeutics Commons (TDC): Multimodal Foundation for Therapeutic Science

Precision Medicine Knowledge Graph (PrimeKG)

TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools

TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design

benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, published in Cell Patterns 2022.

CUREBench @ NeurIPS 2025: Benchmarking AI reasoning for therapeutic decision-making at scale

Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks

Contextual AI models for single-cell protein biology

Generalizable AI predicts immunotherapy outcomes across cancers and treatments

Madrigal: Multimodal AI predicts clinical outcomes of drug combinations from preclinical data

Design and development of Peptide drugs against falciparum Malaria and a Deep learning Web App for Malaria Diagnosis

Web Companion for Generalizable AI predicts immunotherapy outcomes across cancers and treatments

An improved method for predicting of antibacterial peptides using machine learning yechniques

Annotations to terms of the Medical Action Ontology (MAxO)

Home Assistant integration for BLE based Beurer

A DIY Electronic Muscle Stimulating Device for Physiotherapy.

Prediction therapeutic peptides and proteins using machine learning techniques

Lab website

A project exploring G-protein-coupled receptors (GPCRs) as therapeutic targets for Long COVID using computational analysis and drug repurposing tools.

Rare protein-altering variants in ANGPTL7 lower intraocular pressure and protect against glaucoma