daniellebitterman.bsky.social
I'm a physician-scientist working in clinical NLP and LLM safety/evaluation. You'll find me in the lab or the rad onc clinic | BWH | DFCI | Harvard Medical School
www.bittermanlab.org
38 posts
864 followers
286 following
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Led by @shan23chen.bsky.social!
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#STATBreakthrough
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#STATBreakthrough
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AI in Cancer Care
Artificial intelligence has the potential to upend oncology, changing everything from diagnosis to treatment options. Get a wide-ranging view of how the use of technology could play out over the next few years.
Moderated by @angusrohan.bsky.social
#STATBreakthrough
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My lab is funded by the NIH to improve monitoring and management of cancer treatment side effects, so that patients can stay on treatments that are working against their cancer, and have a better quality of life during and after treatment
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this is the content I need today
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this is amazing - congratulations Sasha!
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Oh I see it was converted. Here is an unofficial version: docs.google.com/document/d/1...
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There is a word doc already provided in the supplementary materials.
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There is an option to download a blank pdf to fill out once you select the study design(s) and task(s). Hope that is helpful!
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Paper: nature.com/articles/s41...
Interactive checklist: tripod-llm.vercel.app
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Language models for automated data mining from #EHRs and beyond:
www.nature.com/articles/s41...
pubmed.ncbi.nlm.nih.gov/37506330/
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LLM robustness, bias, and safety evaluations:
nips.cc/virtual/2024...
arxiv.org/abs/2409.20385
arxiv.org/abs/2409.20385
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Evaluating risks of #LLMs for clinical applications:
jamanetwork.com/journals/jam...
www.thelancet.com/journals/lan...
academic.oup.com/jamia/articl...
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Shan is a joy to work with, a true team player, and wonderful teacher who keeps us all learning and evolving. Below are some highlights of Shan's prior work, many of which are also summarized in this post: huggingface.co/blog/shanche...
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Language models for automated data mining from #EHRs and beyond:
www.nature.com/articles/s41...
pubmed.ncbi.nlm.nih.gov/37506330/
arxiv.org/abs/2111.13726
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LLM robustness, bias, and safety evaluations:
aclanthology.org/2024.finding...
nips.cc/virtual/2024...
arxiv.org/abs/2409.20385