Eliezer Van Allen, Chandra Nohria Family Chair for AI in Cancer Research at Dana-Farber Cancer Institute, Professor of Medicine at Harvard Medical School, shared a post on LinkedIn about a recent article he and his colleagues co-authored, adding:
“Here’s our latest, where we explored how to augment LLMs with constantly evolving precision oncology knowledge (h/t Molecular Oncology Almanac), followed by collaboration with medical oncologists to test their queries – congrats Helena Jun, et al!”
Title: A context-augmented large language model for accurate precision oncology medicine recommendations
Authors: Hyeji Jun, Yutaro Tanaka, Shreya Johri, Sabrina Y. Camp, Erik L. Bao, Filipe L.F. Carvalho, Dan Y. Gui, Alexander C. Jordan, Chris Labaki, Samantha D. Martin, Matthew Nagy, Tess A. O’Meara, Theodora Pappa, Erica Maria Pimenta, Eddy Saad, David D. Yang, Riaz Gillani, Alok K. Tewari, Brendan Reardon, Eliezer Van Allen
Read the Full Article on Cancer Cell
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