🩺💡The Bitterman lab has spend much of the past year researching #LLMs for healthcare. This post summarizes our inroads into making LLMs safer and reliable for clinicians and patients: https://t.co/tr2AIFNFti.
We'll be at #EMNLP2024 - come chat if you have similar interests!
🤖 #ESMOAI26 Watch Prof. Jakob Kather while he shares his vision and invites you to attend the second edition of the ESMO AI & Digital Oncology Congress 2026. Register by 28 October and save.
🔗 https://t.co/M71j6Icfm7
#esmomeetings
I got to know @rachnatshroff through our time together on the @ASCO Nominating Committee. She is a dynamo. How she manages to balance a successful career as a clinical trialist with her huge administrative roles alongside her volunteerism to groups like ASCO & @SWOG will never cease to amaze me -- all the while showing an unrelenting commitment to friends & family.
I'll never forget the kindess Dr. Shroff extended to my junior faculty at @cityofhope - @gagan_brar24 & @DaniCastilloMD - after I requested she meet with them to provide external mentorship. The @ConquerCancerFd Endowed Young Investigator Award is on theme with the leadership & altriusm she has shown throughout her career. Let's all band together to support this:
https://t.co/a0TtfRl0TN
🤖 #ESMOAI26 : From autonomous AI systems to real-world deployment in oncology, your work can help shape the conversation. Submit your abstract by 1 September.
🔗 https://t.co/f0GrxyrSgc
#esmomeetings
Our team wrapped up the ASCO LDP program yesterday by presenting our group project on "Strengthening Trust in Oncology" to the @ASCO Board.
Thank you to our coaches, classmates & whole ASCO team for a great year plus lifelong friendships 🎉!
Amazing start of #ASCO26 at the @carisls POA Summit, @mystlukes was very well represented. Got also the chance to listen to Jorge Reis-Filho, congratulate @dbittermanmd for her new AI role at @AstraZeneca, and hanging out with Sajjad Bhatti, @EladSharonMD and many others.
Very excited to be joining AZ to tackle the critical question in AI for drug development: How can AI speed up, improve success rate, and improve availability of clinical trials without compromising our high safety and evidentiary standards?
AstraZeneca recruited physician scientist @dbittermanmd from her research lab within the AI in Medicine Program at Mass General Brigham & Dept of Radiation Oncology at the Brigham 2b VP of AI for Clinical Development. She'll be leading clinical AI across R&D at $AZN. Congrats!
🤖 AI is changing oncology faster than ever and your research could shape the next era of cancer care. Submit your abstract to #ESMOAI26 by 1 September 2026
🔗 https://t.co/eidRLK646e
#esmomeetings
AI in Cancer Research and Care: What We’ve Learned and What Comes Next? Charlotte Bunne, Danielle Bitterman, & Alexander Pearson explored this question in an #AACR26 session moderated by Benjamin Haibe-Kains & Christina Curtis. @bhaibeka@_bunnech@dbittermanmd@lab_pearson
🌟Introducing the advisory board for ASCO AI in Oncology:
🔹Editor-in-Chief Ravi B. Parikh, MD, MPP, FACP @ravi_b_parikh
🔹Kenneth L. Kehl, MD, MPH
🔹Danielle S. Bitterman, MD @dbittermanmd
🔹Travis Zack, MD, PhD
🔹Jame Abraham, MD, FACP @jamecancerdoc
https://t.co/FURMPvzHFW
#FollowFriday Elad Sharon is a medical oncologist at the Dana-Farber Cancer Institute, where he is the Clinical and Translational Director of the Immunotherapy Toxicity Program and a Member of the Faculty of Medicine at Harvard Medical School.
Dr. Sharon is seeking to develop innovative clinical trials to better understand the side effects associated with immune checkpoint inhibitors and other immunotherapy agents. Follow him! @DanaFarber@EladSharonMD
We believe this is a step toward rigorous, future-facing evaluation for AI Scientists.
Explore the code, data, and offline sandbox here:
- Paper: https://t.co/laCAS8j8f4
- Code: https://t.co/oSP9WOfIWS
Led by Bingyang Ye and @shan23chen and supported by Jingxuan Tu, @ChenLiu_1996, @polaris_7369, and @dbittermanmd
Peer review is slow. Citations lag.
But what if ground truth is just… time?
⏳ Proof of Time (PoT): forecast post-cutoff impact (cites/awards/SOTA/faculty moves) from frozen evidence.
📷Paper + data out now → https://t.co/zqPnzDBmZ2
Let time be the judge.
Proof of Time ⏳
let the future itself grade AI's scientific judgment.
Freeze evidence at t₀ →
predict citations, awards, SOTA shifts, faculty trajectories at t₁ → score when truth arrives.
Offline sandbox + agent scaling inside
https://t.co/cDgwENlA7n
A nice summary of the implications of ChatGPT Health @TIME – with a focus on whether you should trust @OpenAI with your health data.
Quotes by me, @AdamRodmanMD, @dbittermanmd, others.
https://t.co/2h3ZqZPgrj