Therapeutics Commons (TDC-2): Multimodal Foundation for Therapeutic Science

Precision Medicine Knowledge Graph (PrimeKG)

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.

Contextual AI models for single-cell protein biology

Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks

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

A DIY Electronic Muscle Stimulating Device for Physiotherapy.

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

Annotations to terms of the Medical Action Ontology (MAxO)

Prediction therapeutic peptides and proteins using machine learning techniques

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

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

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

Hardware Project for Oral Morse code with Sensors and actuators. Done in collaboration with Boet Bouten and Nataliia Kaminskaia for Leiden University's Media Technology MSc. course Hardware and Physical Computing

Frt Final Project Made by Priyanka Verma