
Kevin Boehm
@kevinmboehm
Postdoc @CompOncMSK and resident @MSK_RadOnc working on machine learning for cancer subtyping. Techno-optimist.
ID: 976670192683110401
http://kmboehm.github.io 22-03-2018 04:01:34
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656 Followers
621 Following


Our second of a pair of reviews on how #Chromosomal_instability #CIN drives #cancer progression is out in Nature Reviews Genetics Reviews led by the talented Xuelan @itsalyourpal Jun Li Melody Di Bona nature.com/articles/s4157…




Save the date for 12-14 Nov 2025 (next year) in Berlin, Germany: The first ESMO - Eur. Oncology conference purely on AI and Digital Oncology 🤩 Very happy to organize this together with a large panel of experts. Mark your calendars! esmo.org/meeting-calend… DKFZ Nationales Centrum für Tumorerkrankungen Dresden NCT Heidelberg


Effective cytoreduction in the bridging period can significantly improve outcomes for those planned for CAR T cells - radiotherapy ☢️ is a particularly effective tool for highest risk pts! Clinical Cancer Research Memorial Sloan Kettering Radiation Oncology Chimeric Antigen Receptor T-Cell (CAR-T) & Gene Rx Memorial Sloan Kettering Cancer Center ILROG Team pubmed.ncbi.nlm.nih.gov/39259292/

Happy to share our new paper from katherlab , led by Dyke Ferber , which was just published in Nature Communications. In-context learning enables general-purpose vision language models to perform well on medical image analysis tasks. We don't need to train a neural network at all - just



.Michael Berger, David B. Solit, MD, Marc Ladanyi, and the MSK-Impact team accept the AACR Team Science Award for developing and implementing a groundbreaking next-generation sequencing platform which has enabled the comprehensive molecular characterization of over 125,000 tumors. #AACR25



A fascinating poster session from Kevin Boehm you don't want to miss! #AACR25

Kevin Boehm Stefanie Gerstberger, MD PhD 2/3 Dr. Kevin Boehm, a postdoc fellow in computational oncology and resident physician in #radiationoncology, is applying machine learning to infer tumor subtypes and #genomic features from microscopic images. #AACR25 Learn more about his work: bit.ly/3YJBO9i


Double trouble! Congrats to Rosh on his important work showing that bridging RT prior to CAR T cells is safe and probably needs greater personalization by tumor genetics. Great work! Memorial Sloan Kettering Radiation Oncology Memorial Sloan Kettering Cancer Center #18ICML
