Marinka Zitnik
@marinkazitnik
Associate Professor at Harvard | Faculty @Harvard @KempnerInst AI | Faculty @broadinstitute @harvard_data | @ProjectTDC @AI_for_Science
🌍 Excited to open up our global evaluation of AI for drug decision-making and therapeutic reasoning @GaoShanghua Want to shape the future of therapeutic AI, from understanding existing medicines to developing new treatments for diseases with limited options? Start here:…
🚀 260+ teams have entered the CUREBench @NeurIPSConf 2025 Challenge! 🚀 curebench.ai Challenge Tracks: • Track 1: AI models relying solely on built-in memory • Track 2: AI systems that leverage external tools and resources Evaluation is by agentic judges…
Join the CUREBench @NeurIPSConf 2025 Challenge at curebench.ai for therapeutic reasoning! We are excited to see that 130+ teams have joined! @cziscience @MilkenInstitute @BiswasFamilyFdn @cziscience Rare as One program @harvardmed @BrighamWomens @HarvardDBMI
Great to see students from @HarvardDBMI’s AIM 2 course presenting their class research at @icmlconf ICML’25 in Vancouver last week 👏👏 Valentin, Shyam, and John developed this project for BMI 702 (AI in Medicine II, zitniklab.hms.harvard.edu/AIM2) and were mentored by the stellar TF…
Thank you for organizing the session @cmuptx
If you are at ICML2025, welcome to attend our workshop "Multi-modal Foundation Models and Large Language Models for Life Sciences" tomorrow (Jul 19 Saturday). The workshop features a stellar lineup of invited speakers, including Valentina Boeva @val_boeva, Manolis Kellis…
Here are today's #ICML2025 presentations from the #KempnerInstitute!
Excited to see that 130+ teams have already entered CUREBench @NeurIPSConf 2025 Challenge Start here: curebench.ai Evaluate AI deeply and broadly for therapeutics @GaoShanghua @cziscience @MilkenInstitute @BiswasFamilyFdn @cziscience Rare as One program @harvardmed…
📣 Competition launch alert! CUREBench competition at @NeurIPSConf 2025 Start here: curebench.ai Benchmarking AI for therapeutic reasoning, drug discovery, treatment planning, and therapeutic decision-making 🎯 Track 1: Develop AI models that rely on parametric…
Trained on 2M+ interaction complexes, ATOMICA learns atomic-to-molecular embeddings of interaction interfaces @AdaFang_ In the latest preprint: 🎯 Wetlab tests of AI predictions: Experimental validation confirms heme binding for 5 ATOMICA-predicted sites in uncharacterized…
Introducing ATOMICA 💫 A model to universally represent molecular interactions (for proteins, nucleic acids, small molecules, and ions) at an all-atom scale 🧵
Enjoyed speaking with @NewYorker on what makes today’s AI better at therapeutic reasoning than past models To test reasoning models deeply and broadly, join our CUREBench competition at @NeurIPSConf 2025 Start here: curebench.ai
Repurposing drugs enhanced by A.I.? newyorker.com/culture/open-q… by @DhruvKhullar @DavidFajgenbaum @EveryCure
📣 Competition launch alert! CUREBench competition at @NeurIPSConf 2025 Start here: curebench.ai Benchmarking AI for therapeutic reasoning, drug discovery, treatment planning, and therapeutic decision-making 🎯 Track 1: Develop AI models that rely on parametric…
🚨 I'm excited to share that MedTok, our multimodal medical code tokenizer, has been accepted to #ICML2025! 🎉 Try out MedTok and see how it can enhance biomedical AI applications. huggingface.co/mims-harvard/M… Huge thanks to @marinkazitnik and all my amazing collaborators!…
Announcing AI for Science at @NeurIPSConf 2025! Join us in discussing the reach and limits of AI for scientific discovery 🚀 📍 Workshop submission deadline: Aug 22 💡 Dataset proposal competition: more details coming soon! ✨ Amazing line up of speakers and panelists
Join us at ICML @icmlconf this Thu 17 Jul from 4:30-7 pm PT to learn about MedTok and try it out! Congrats to @xiaorui_su @shvat_messica MedTok is a general-purpose tokenizer of medical codes that can be integrated into any transformer or tokenization based biomedical AI By…
New paper: MedTok – A general multimodal medical Code Tokenizer @xiaorui_su MedTok is a drop-in replacement for standard tokenizers, improving structured data representation in clinical prediction models, medical QA systems, and medical foundation models EHR foundation models…
Join us at the AI for Science @NeurIPSConf workshop to discuss the reach and limits of AI for scientific discovery @AI_for_Science Excited to continue the series of #AIforScience workshops: ai4sciencecommunity.github.io @AdaFang_ @YuanqiD @SherryLixueC Sanjeev Raja @msalbergo…
AI for Science will be returning to @NeurIPSConf 2025! We aim to bring together scientists and AI researchers to discuss the reach and limits of AI for Scientific Discovery 🚀 📖 Workshop submission deadline: Aug 22 💡 Dataset proposal competition: more details coming soon
Had a great time at @AACR AI conference sharing vignettes about our recent research 1) TxAgent - AI agent for therapeutic reasoning across a universe of tools. Start here to test TxAgent and submit your most challenging therapeutic questions: txagentevals.curebench.ai @GaoShanghua…
Empowering Biomedical Discovery with "AI Scientists”: Marinka Zitnik addressed this topic in a keynote lecture at the AACR Special Conference on Artificial Intelligence and Machine Learning. #AACRai25 @marinkazitnik
SPATIA model for predicting and generating spatial cell phenotypes
Can a unified multimodal model effectively integrate cellular morphology, gene expression, and spatial organization across biological scales to enable both predictive and generative tasks in spatial transcriptomics?@arxiv @Harvard "SPATIA: Multimodal Model for Prediction and…
Congrats @LogmlSchool for running an in-person grad ML summer school at @imperialcollege and opening up research opportunities for students worldwide! 👏 logml.ai Thanks to organizers, @valegiunca, and mentors @justguadaa @_cagarwal @ruthie_johnson @YEktefaie…
🌟Applications open- LOGML 2025🌟 👥Mentor-led projects, expert talks, tutorials, socials, and a networking night ✍️Application form: logml.ai 📅Apply by 6th April 2025 ✉️Questions? [email protected] #MachineLearning #SummerSchool #LOGML #Geometry
'One Patient, Many Contexts: Scaling Medical AI Through Contextual Intelligence' @_michellemli, Ben Y. Reis, @AdamRodmanMD, Tianxi Cai, Noa Dagan, @RanBalicer, Joseph Loscalzo, @zakkohane, @marinkazitnik doi.org/10.48550/arXiv… (9/21)
'Prompting Decision Transformers for Zero-Shot Reach-Avoid Policies' Kevin Li, @marinkazitnik doi.org/10.48550/arXiv… (18/21)