Deepathology offers a Do It Yourself platform that allows pathologists and researchers to develop AI solutions for problems in Pathology.

Deepathology

Deepathology develops AI solutions for pathology, allowing pathologists and researchers to create their own applications.

DeePathology.ai | 2,299 followers on LinkedIn. DeePathology.ai  brings state of the art AI and Deep Learning to Digital Pathology to empower pathologists.

Co Founder & Co CEO DeePathology.ai, Co Founder & Co CEO SagivTech, Co Founder & CAIO SurgeonAI

Chen Sagiv

Co-Founder & CTO @ DeePathology.ai

Jacob Gildenblat

Co Founder, Co CEO DeePathology. Co Founder, Co CEO SurgeonAI. Co Founder, Co CEO SagivTech.

Nizan Sagiv

AI Team Leader at DeePathology.ai

Ofir H.

DeePathology.ai

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.

Paige

👋🎉🚀 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

What is the most important asset you have? Reasonable answers can be love or good health. There is a very precious resource that we cannot control: TIME. The only thing we can control is how to use the time we have. The DeePathology.ai STUDIO respects your time. Discover how to get started with the DeePathology STUDIO in only a few minutes by watching this informative video. Curious to learn more? Join me next Wednesday in our COOL SUMMER WEBINAR. Details & Registration here: https://lnkd.in/dPHVUvRd https://lnkd.in/eSzKerak #DeePathology #TimeManagement #Webinar #AI #HealthcareTech

We invite you to join us in a refreshing Summer Webinar on the latest & greatest the DeePathology.ai STUDIO has to offer. Learn about how we use Generic Models, the key differences from Foundation Models, how we combine Deep Learning with Classical Image Analysis, and more. Looking forward to seeing you on July 24th! Registration link: https://lnkd.in/dPHVUvRd

The DeePathology.ai STUDIO #Python API - the meeting place of pathology experts and data scientists ! You already know that you can easily generate new and innovative building blocks for detecting cells and regions with the DeePathology.ai STUDIO. You may not know that with the help of the DeePathology.ai STUDIO #Python API you can analyze SPATIAL DISTRIBUTIONS and interactions between regions and cells, and explore how these spatial features are connected to DRUG OUTCOME / PATIENT SURVIVAL prediction. Curious ? ping us: masha@deepathology.ai

DeePathology is making strides in revolutionizing pathology care through AI. Today marks a significant milestone as we announce our fruitful collaboration with University College London Hospitals NHS Foundation Trust and #Pfizer UK. Our joint work will be showcased in a paper titled "Artificial intelligence-assisted interpretation of colonic biopsies from patients with inflammatory bowel disease" at the European Society of Pathology conference in Florence. I extend my heartfelt gratitude to Dan Tang from Pfizer UK, Prof. Manuel Rodriguez-Justo and his exceptional team at UCLH, particularly Adam Levine and Hannah Lowes, as well as Jacob Gildenblat and Ofir H. from DeePathology.ai . Lastly, a special thank you to Hamish Graham for making this collaboration possible. #Pathology #AI #Healthcare #Collaboration #ECP20224

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