6 citations · 12 across the 4 of their papers we have counts for
4 papers
BioVERSE: Representation Alignment of Biomedical Modalities to LLMs for Multi-Modal Reasoning
Ching-Huei Tsou, Michal Ozery-Flato, Ella Barkan +2
Recent advances in large language models (LLMs) and biomedical foundation models (BioFMs) have achieved strong results in biological text reasoning, molecular modeling, and single-…
Leveraging Large Language Models to Predict Antibody Biological Activity Against Influenza A Hemagglutinin
Ella Barkan, Ibrahim Siddiqui, Kevin J. Cheng +6
Monoclonal antibodies (mAbs) represent one of the most prevalent FDA-approved modalities for treating autoimmune diseases, infectious diseases, and cancers. However, discovery and…
MAMMAL -- Molecular Aligned Multi-Modal Architecture and Language
Yoel Shoshan, Moshiko Raboh, Michal Ozery-Flato +18
Large language models applied to vast biological datasets have the potential to transform biology by uncovering disease mechanisms and accelerating drug development. However, curre…
A large dataset curation and benchmark for drug target interaction
Alex Golts, Vadim Ratner, Yoel Shoshan +7
Bioactivity data plays a key role in drug discovery and repurposing. The resource-demanding nature of \textit{in vitro} and \textit{in vivo} experiments, as well as the recent adva…