6 citations · 16 across the 5 of their papers we have counts for
5 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-…
BMFM-RNA: whole-cell expression decoding improves transcriptomic foundation models
Michael M. Danziger, Bharath Dandala, Viatcheslav Gurev +12
Transcriptomic foundation models pretrained with masked language modeling can achieve low pretraining loss yet produce poor cell representations for downstream tasks. We introduce…
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…
Mammography Dual View Mass Correspondence
Shaked Perek, Alon Hazan, Ella Barkan +1
Standard breast cancer screening involves the acquisition of two mammography X-ray projections for each breast. Typically, a comparison of both views supports the challenging task…