DeePathology.ai

We are delighted by our enduring and productive partnership with MD Biosciences Neuro and Dr. Sigal Meilin. At the EWMA-GNEAUPP 2025 conference in Barcelona today, Dr. Avital Schauder will be presenting the advancements in healing chronic burn wounds. The presentation will highlight the utilization of innovative immunohistochemistry (IHC) techniques and AI-driven quantitative analysis, developed in collaboration with DeePathology.ai STUDIO. This serves as a remarkable demonstration of how AI can enhance preclinical research efforts. A special acknowledgment to our CTO Jacob Gildenblat for his outstanding work with DeePathology.ai STUDIO. Kudos on another successful collaboration! #AI #woundcare #EWMAGNEAUPP2025 #woundmanagement #preclinicalresearch

Join us for an exclusive webinar by DeePathology.ai STUDIO, where we unveil our cutting-edge technology that ensures no cell goes unnoticed on your slides. Here's what you can expect: - Cell detection without any annotations - Comprehensive training on End to End Boundary Training - Insight into Training and Test Time Augmentation - Live demonstrations showcasing Active Learning in Action - Collaboration of Classical Computer Vision & AI - Utilization of XAI tools for enhanced analysis Don't miss out on this opportunity to revolutionize your cell detection process. Date & Time: Tuesday, May 6th, 8:00 AM PT, 11:00 AM ET, 17:00 CET, 18:00 Israel Time. Reserve your spot here: https://lnkd.in/dkZ48FN2 #DeePathology #CellDetection #Webinar

DeePathology is proud to collaborate with the Sheba Medical Center, Tel Hashomer, that ranked #8 in Newsweek Best Hospitals List for 2025. We are grateful to have a continuous fantastic collaboration with Prof. Iris Barshack, the Pathology Institute : Sheba Medical Center and ARC. Making Techno and Proud! https://lnkd.in/gakztUQ2

At the start of 2025, the DeePathology.ai team dedicated significant effort to elevate the performance of the STUDIO platform, achieving remarkable results. Now, we want to share our work with you in a series of webinars. Let's start with the use of Foundation models in the DeePathology.ai STUDIO 🚀🎉👋 Join us for our first webinar on March 19th, from 11-12 AM ET and 17-18 PM CET, focusing on Foundation Models in a broader context and their specific application in pathology. During the session, we will showcase our utilization of the Virchow model from Paige, a remarkable open-source tool, and demonstrate an innovative application leveraging our recently shared open-source F-Seg package for unsupervised segmentation using Foundation models. To register: https://lnkd.in/daA2F_2r

We’re excited to see DeePathology.ai utilizing Paige’s open-source foundation model, Virchow, to develop an innovative product that is accelerating research and advancing digital pathology. It’s inspiring to see our technology driving progress and pushing the field forward.

👋🎉🚀 Exciting News to our STUDIO users ! 🚀🎉👋 We're releasing one shot segmentation for Pathology powered by Foundation models in the DeePathology.ai STUDIO One shot segmentation is an algorithms that allows you to use an extremely small number of annotations to obtain superb semantic segmentation results. This can be used for exploring research ideas quickly, or gathering a huge amount of annotations in no time. In the video below we're using the wonderful open source Virchow model from Paige, and an application on top of our recently shared open source F-Seg package for unsupervised segmentation using Foundation models. Only a SINGLE (1) annotation is done per tissue category, and we get segmentation results IMMEDIATELY.

Exciting news to the #AI in #Pathology community ! DeePathology.ai is proud to bring its Unsupervised Semantic Segmentation for Pathology by Factorizing Foundation Model Features as an open source ! We recently published a method called "Segmentation by Factorization" (https://lnkd.in/dVHFQ975), that allows utilizing foundational models for unsupervised segmentation, AS IS, WITHOUT any training. This unlocks many possibilities: 🧠 Utilize pathology foundational models for unsupervised semantic segmentation. 🏷️ No need for any annotated data! 🚀 Generates powerful H&E image segmentation, for a configurable number of semantic classes. We have implemented these amazing capabilities within our DeePathology.ai STUDIO and are also committed to open source. So, we are proud to share our Unsupervised Semantic Segmentation for Pathology in GitHub: https://lnkd.in/d6Uz4wCZ Kudos to our CTO Jacob Gildenblat, our AI Team leader Ofir H. and the DeePathology team. Stay tuned for more information soon! #AI #Pathology #SemanticSegmentation #DeePathology #Innovation #OpenSource

🌟 DeePathology.ai COOL SUMMER WEBINAR 🌟 Join us TOMORROW for a webinar where we'll delve into various deep learning concepts and practical demonstrations in the DeePathology.ai STUDIO. 🔍 What's on the agenda? - Deep learning architectures - Generic models vs. foundation models - Training a deep neural network - Metrics for performance evaluation - Active learning and explain-ability 🕗 No matter your time zone, whether it's 8:00 AM PST, 11:00 AM EST, 17:00 ECT, 18:00 Israel, 19:00 Emirates, 20:30 IST, 00:00 Japan, 1:00 AM Australia, or 5:00 AM French Polynesia, you're invited to register and tune in live or access the recording later. Don't miss out! Register here: https://lnkd.in/dWhW7xDx

The weekend is a perfect time to celebrate achievements! 🌟 Exciting news 📢 Two publications are on the horizon: 📚 Publication 1: A decision support system for the detection of cutaneous fungal infections using artificial intelligence - joint work with Naama Rappoport Levin, Gil Goldinger, Assaf Debby, Yosef Molchanov, Yoash Barak, Jacob Gildenblat, Ofir H. and Prof. Aviv Barzilai. Accepted to the journal Pathology - Research and Practice. Thanks to Beilinson - Rabin Medical Center, Sheba Medical Center, Tel Hashomer and the Pathology Institute : Sheba Medical Center for this great collaboration. 📚 Publication 2: Artificial intelligence-assisted interpretation of colonic biopsies from patients with inflammatory bowel disease - joint work with Adam Levine, Hannah Lowes, Talisa Mistry, Dahmane Oukrif, Ofir H., Jacob Gildenblat and Prof. Manuel Rodriguez-Justo. Thanks University College London Hospitals NHS Foundation Trust and University College London for this great collaboration. Special thanks to Daniel Tang from Pfizer UK for the continuous support. We are looking for more co authors for research papers on AI for pathology. Can that be you ? Join our COOL SUMMER webinar this Wednesday: https://lnkd.in/dWhW7xDx

The DeePathology.ai STUDIO: Your Innovation. Your Impact. AI transforming pathology! Join me next week in the SUMMER WEBINAR: https://lnkd.in/dWhW7xDx #pathology #AI #innovation