Josh Davis
@joshp_davis
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Research Assistant @ Dana-Farber Cancer Institute MS4 at Albany Medical College neuroscience | clinical AI | geriatrics
Joined February 2018
RT @LightOnIO: 🚀Announcing BioClinical ModernBERT, a SOTA encoder for healthcare AI, developed by Thomas Sounack @tsounack for Dana-Farber….
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RT @antoine_chaffin: You can just continue pre-train things ✨.Happy to announce the release of BioClinical ModernBERT, a ModernBERT model w….
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BioClinical ModernBERT is out!. Built on the largest, most diverse biomedical/clinical dataset to date.‼️Delivers SOTA across the board.Thrilled to be part of this effort led by @tsounack.
Very excited to share the release of BioClinical ModernBERT!. Highlights:.- biggest and most diverse biomedical and clinical dataset for an encoder.- 8192 context.- fastest throughput with a variety of inputs.- sota results across several tasks.- base and large sizes.(1/8).
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RT @A_MacLullich: Hypoactive delirium—characterized by withdrawal, lethargy, and decreased responsiveness—is missed up to 75% of the time.….
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RT @JAMAHealthForum: An open-source LLM performed comparably to GPT-4 in generating differential diagnoses for complex cases, indicating th….
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RT @jasonafries: 🎉 We're thrilled to announce the general release of three de-identified, longitudinal EHR datasets from Stanford Medicine—….
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RT @NEJM_AI: Original Article by T.-L. Liu et al.: Does AI-Powered Clinical Documentation Enhance Clinician Efficiency? A Longitudinal Stud….
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RT @lindvalllab: 🚨 Can LLMs identify Goals of Care (GOC) in cancer care documentation?.💻 Our latest study shows GPT-4o excels at extracting….
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Impressive use of NLP in oncology!.
Natural language processing (#NLP) can accurately detect common side effects from anticancer drugs in clinical records, reflecting known side effect rates. Using records from >44k cancer patients, this study used NLP to identify higher risks of side effects like neuropathy,
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Great work! @DurieuxBrigitte.
@DurieuxBrigitte presented our work at the McGill International Palliative Care Congress last week, exploring how we can use large language models for symptom detection! #MIPCC2024 @CareMcgill @joshp_davis @sciacca_kate
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RT @EricTopol: Of over 500 LLM #AI reports in healthcare, only 5% used real patient data. @JAMA_current @drnigam ht….
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Thrilled to present our work on using Large Language Models for scalable symptom tracking in neuropalliative care at INPCS24! Exciting potential for AI to improve patient care. @Neuropalcare @lindvalllab #palliativecare #neurology #LLM #AIinHealthcare
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RT @BulckLiesbet: 🤖Do you want to use ChatGPT as a healthcare provider but don't know where to start, or do you want to get more out of it?….
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Happy to have helped organize a comprehensive cardiology event @AlbanyMed, focusing on the complexities of the aging heart #ACCInTouch #AmeriGeriatrics #MedTwitter @GMMD26
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