In silico screening and preclinical validation identify bavisant as a therapeutic candidate for multiple sclerosis

Deep Active Learning based Experimental Design to Uncover Synergistic Genetic Interactions for Host Targeted Therapeutics

Biomedical knowledge graph-enhanced prompt generation for large language models

Cosmic Kidney Disease: The Effects of Spaceflight and Galactic Cosmic Radiation on Renal Structure and Function

Inflammatory and neurodegenerative serum protein biomarkers increase sensitivity to detect clinical and radiographic disease activity in multiple sclerosis

Identifying therapeutic candidates for
endometriosis through a transcriptomics-based
drug repositioning approach

Leveraging electronic health records and knowledge networks for Alzheimer’s disease prediction and sex-specific biological insights

Early detection of Parkinson’s disease through enriching the electronic health record using a biomedical knowledge graph

Biological research and self-driving labs in deep space supported by artificial intelligence

Biomonitoring and precision health in deep space supported by artificial intelligence

The scalable precision medicine open knowledge engine (SPOKE): a massive knowledge graph of biomedical information

Time-aware Embeddings of Clinical Data using a Knowledge Graph

A biomedical open knowledge network harnesses the power of AI to understand deep human biology

Embedding electronic health records onto a knowledge network recognizes prodromal features of multiple sclerosis and predicts diagnosis

Knowledge network embedding of transcriptomic data from spaceflown mice uncovers signs and symptoms associated with terrestrial diseases

Mechanical Ventilation Stimulates Expression of ACE2, the Receptor for SARS-Cov-2

Integrating biomedical research and electronic health records to create knowledge-based biologically meaningful machine-readable embeddings