AI in BioTech. Part-1.
Gen AI in Biology, BioTech. State Transition (ST) model,State Embedding (SE) model, Optimal Transport (OT) theory AI in BioTech. Part-1.
Date: 7/4/2025
Fields: Gen AI, Biology, LLM, Large models, Cell
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Related Research
Paper: Predicting cellular responses to perturbation across diverse contexts with State. Abhinav K. Adduri, Dhruv Gautam, Beatrice Bevilacqua, Alishba Imran, Rohan Shah, Mohsen Naghipourfar, Noam Teyssier, Rajesh Ilango, Sanjay Nagaraj, Mingze Dong, Chiara Ricci-Tam, Christopher Carpenter, Vishvak Subramanyam, Aidan Winters, Sravya Tirukkovular, Jeremy Sullivan, Brian S. Plosky, Basak Eraslan, Nicholas D. Youngblut, Jure Leskovec, Luke A. Gilbert, Silvana Konermann, Patrick D. Hsu, Alexander Dobin, Dave P. Burke, Hani Goodarzi, Yusuf H. Roohani. Arc Institute; University of California, Berkeley; Stanford University; University of California, San Francisco; University of Pennsylvania; Yale University. bioRxiv, doi: https://doi.org/10.1101/2025.06.26.661135