OWKIN

???Owkin K Navigator launches on the 6th of May. Our free-to-use agentic AI co-pilot for researchers across the world, to enhance the productivity of biological research and drive breakthrough discoveries. Kountdown to K begins now. Sign up here → https://lnkd.in/egj3Ppkt

This Women's History Month, Owkin's Women in Tech Committee hosts a panel discussion delving into the experiences, challenges, and achievements of women in tech. The panelists reflect on their paths into the industry, how they navigate a male-dominated field, and the mindset that fuels their success. Nathalie Anthoine Marisa Yasmin Krummrich Cristina Fernández Molina Aline Charpentier Thea Backlar Mariabrisa Olivares #WomensHistoryMonth

????How fast can you make it to K? Play the game as we get ready to launch K Navigator, our free-to-use agentic AI co-pilot for researchers across the world, to enhance the productivity of biological research and drive breakthrough discoveries. Try it now: Google Play → https://lnkd.in/eURfcMHj App Store → https://lnkd.in/eQx6hPV4 Kountdown to K: launching 6th May.

In our latest Partners in Science episode, Shehzad Sheikh, Terry Furey, and Gwen Lau from University of North Carolina at Chapel Hill dive into how AI is unlocking new insights into Crohn’s disease and ulcerative colitis. Owkin and UNC are collaborating to build a groundbreaking longitudinal dataset to predict Inflammatory Bowel Disease (IBD) progression. Using AI through Owkin’s K OS, we're able to analyze unprecedented amounts of patient data, opening new possibilities for computational analysis in IBD research to uncover hidden patterns, paving the way for better treatments. Watch the full interview to see how this partnership is using AI to reshape the future of IBD care.

Our Chief Data Science Officer Eric Durand features in Nature Magazine this week, discussing how artificial intelligence is poised to transform drug development. In the interview, Eric unpacks how different ways of generating data impact the training of AI and highlights the critical role of data preprocessing. Read the article here https://lnkd.in/gAeDydgB

Meet Owkin at USCAP to discuss our pioneering approach to clinically-validated AI to power precision pathology. ?? At booth #800, discover MSIntuit? CRC and other next-gen AI digital pathology solutions for streamlining pathology workflows and supporting therapeutic decision making. Don't miss our science during the Tuesday afternoon poster session, starting at 1pm! Schedule a meeting with us → https://lnkd.in/eE8SVRpC

We’re excited to share our latest research on a novel approach for controlling the sensitivity of whole-slide image classification models in digital pathology. ?? Deploying AI across medical centers is challenging due to data distribution shift. Our method, TSM (Tile Score Matching), combines our in-house Multiple Instance Learning model Chowder with Optimal Transport. Key highlights: ???We provide theoretical and experimental evidence that TSM can efficiently control the sensitivity of a model. ???We show that TSM is particularly efficient in extremely low data regime, when only 5 positive samples are available for calibration. This breakthrough provides a practical solution for the reliable deployment of computational pathology systems across multiple hospital centers, addressing a key challenge in bringing AI to clinical settings. ???Read the full pre-print: https://lnkd.in/e-QyT8ch

The Owkin Partnerships team had a blast at #AUTM2025 in Maryland, diving into the future of tech transfer and innovation with academic and industry leaders. ?? We partner with top academic centers to curate, enrich, and generate deep, multimodal data, redefining the future of medicine. Connect with us → https://lnkd.in/eU-Ki9Bk Matthew Howe, PhD Maedbh Heaney Benning Wang, MBA, CLP

Yesterday, Gael Varoquaux, Researcher Director at Inria, Co-creator of scikit-learn (https://lnkd.in/gxGJB_y) and one of France’s most cited AI/ML researchers, joined us for a talk on survival analysis and causal inference. The discussion explored survival analysis with the hazardous module, model calibration techniques, and how causal inference can boost the accuracy of survival predictions. Learn how we optimize survival analysis of Machine Learning algorithms in our paper on C-index: https://lnkd.in/eyBQycin

Discover our new Owkin Dx Blog Series whitepaper. ???Dive into our comprehensive analysis to discover how AI pathology models are created: ???How to transition from traditional slide analysis through microscopy to using an AI medical device for pathology? ???Why is data crucial in the process of developing a model? ???What machine learning techniques are utilized during the AI pathology diagnostic creation and training? ???What methods are employed to validate the AI pathology diagnostic for medical applications? ???What strategies are employed to ensure market access and distribution of an AI device to pathologists? ???How does an AI medical device for pathology integrate into the pathologist workflow? ???Download our free white paper: https://lnkd.in/er5cpjTe