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.
ToolUniverse is a collection of biomedical tools designed for AI agents
Contextual AI models for single-cell protein biology
Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks
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
An improved method for predicting of antibacterial peptides using machine learning yechniques
A DIY Electronic Muscle Stimulating Device for Physiotherapy.
Prediction therapeutic peptides and proteins using machine learning techniques
Generalizable AI predicts immunotherapy outcomes across cancers and treatments
Annotations to terms of the Medical Action Ontology (MAxO)
Lab website
Web Companion for Generalizable AI predicts immunotherapy outcomes across cancers and treatments
A set of tools to analyze the impact of COVID-19 in social media (pytrend analysis) and society (evolution and fit of epidemic curves), and find drug parameters of candidate compounds that will be used to treat COVID-19
Rare protein-altering variants in ANGPTL7 lower intraocular pressure and protect against glaucoma
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