News
Artificial intelligence in surgical pathology – where do we stand, where do we go?
Chen Sagiv, Ofir Hadar, Abderrahman Najjar, Jens Pahnke
Podcast on Digital & Computational Pathology
Hear DeePathology co founder and co CEO, Dr. Chen Sagiv in the podcast (in Hebrew) Scalpel 5.0-MedTech Fusion Podcast with Roy Shaked on Digital &
Exciting News to our STUDIO users!
Introducing one shot segmentation for Pathology powered by Foundation models in the DeePathology® STUDIO! This innovative algorithm enables superb semantic segmentation results with just a
Unsupervised Semantic Segmentation for Pathology by Factorizing Foundation Model Features as an open source!
DeePathology is proud to bring its Unsupervised Semantic Segmentation for Pathology by Factorizing Foundation Model Features as an open source! Based on our published a
Artificial intelligence-assisted interpretation of colonic biopsies from patients with inflammatory bowel disease
Adam P. Levine, Ofir Hadar, Hannah Lowes, Jacob Gildenblat, Talisa Mistry, Dahmane Oukrif, Chen Sagiv, Manuel Rodriguez-Justo
DeePathology introduces Segmentation by Factorization, an innovative unsupervised pathology segmentation solution
ARC Innovation – The Center for Digital Innovation at Sheba Medical Center, Tel Hashomer held its annual summit last week in Tel Aviv. DeePathology is
Collaboration with UCLH and Pfizer at ECP 2024
Proud to showcase our successful collaboration with University College London Hospitals NHS Foundation Trust and Pfizer at ECP 2024 in Florence on AI for interpreting
Segmentation by Factorization: Unsupervised Semantic Segmentation for Pathology by Factorizing Foundation Model Features
Jacob Gildenblat, Ofir Hadar
Meet us at ECP 2024 in Florence!
Visit our booth #66 at ECP 2024 between 7 to 11 September 2024.
Check out DeePathology SUMMER Webinar!
We covered a range of topics including training Deep Neural Networks, the differences between Generic Models and Foundation Models, key metrics for network performance assessment,
A decision support system for the detection of cutaneous fungal infections using artificial intelligence
Naama Rappoport, Gil Goldinger, Assaf Debby, Yosef Molchanov, Yoash Barak, Jacob Gildenblat, Ofir Hadar, Chen Sagiv, Aviv Barzilai
Deep Cellular Embeddings: An Explainable Plug and Play Improvement for Feature Representation in Histopathology
Jacob Gildenblat, Anil Yüce, Samaneh Abbasi-Sureshjani & Konstanty Korski
Don’t get lost in a Random Forest!
The DeePathology® STUDIO offers AI-based and classical features-based solutions, including Random Forest. Check out this video to learn more about how Random Forests are utilized
We are proud to unveil the DeePathology® STUDIO Python API!
You already know that you can easily generate new and innovative building blocks for detecting cells and regions with the DeePathology® STUDIO. Now, with the
Check out a new feature by DeePathology® STUDIO: Instance Cell Attributes Visualization!
With DeePathology® STUDIO, you can know EVERYTHING about each cell in your WSI! Watch the video to learn how to obtain average values of attributes
We are thrilled to share the success of our collaboration with the Pathology Institute : Sheba Medical Center, headed by Prof. Iris Barshack
Prof. Iris Barshack presented our joint work on “A Decision Support System for the Detection of Cutaneous Fungal Infections using AI” at BioMed24. Through the
Time- and Sex-Dependent Effects of Fingolimod Treatment in a Mouse Model of Alzheimer’s Disease
Pablo Bascuñana, Mirjam Brackhan, Luisa Möhle, Jingyun Wu, Thomas Brüning, Ivan Eiriz, Baiba Jansone and Jens Pahnke
A Novel Huntington’s Disease Assessment Platform to Support Future Drug Discovery and Development
Jingyun Wu, Luisa Möhle,Thomas Brüning, Iván Eiriz, Muhammad Rafehi, Katja Stefan, Sven Marcel Stefan and Jens Pahnke
HEROHE Challenge: Predicting HER2 Status in Breast Cancer from Hematoxylin–Eosin Whole-Slide Imaging
Eduardo Conde-Sousa, João Vale, Ming Feng, Kele Xu , Yin Wang, Vincenzo Della Mea, David La Barbera, Ehsan Montahaei, Mahdieh Baghshah, Andreas Turzynski, Jacob Gildenblat,
See you in June in New York and Berlin!
We are thrilled and hope that you are, too! After more than two years, we are finally ready to venture out and attend in-person conferences
Ki-67 quantification in experimental hepatocarcinogenesis
Ki-67 has gained relevance in oncology as a marker of proliferating cells. Particularly breast cancer patients benefit from this additional diagnostic marker and subsequent therapeutic
Short videos for busy scientists
We made the DeePathology STUDIO easy and intuitive to use, so you don’t need to be a computer expert to successfully create AI solutions with
Using the STUDIO in Alzheimer’s Disease Research
Prof. Jens Pahnke and his group have been conducting research projects in the field of Alzheimer’s disease and other neurodegenerative diseases for many years. They
Development of deep learning models for microglia analyses in brain tissue using DeePathology™ STUDIO
Luisa Möhle, Pablo Bascuñana, Mirjam Brackhan, Jens Pahnke
Optimization of anastomotic technique and gastric conduit perfusion with hyperspectral imaging in an experimental model for minimally invasive esophagectomy
Felix Nickel, Alexander Studier-Fischer, Berkin Oezdemir, Jan Odenthal, Lucas-Raphael Mueller, Samuel Knoedler, Karl-Friedrich Kowalewski, Isabella Camplisson, Michael Martin Allers, Maximilian Dietrich, Karsten Schmidt, Gabriel Alexander
How attitudes in the medical field have shifted in the last few years
Dr. Chen Sagiv, DeePathology’s co-founder and co-CEO, spoke with Michael Matias for his series 20-Minute Leaders, an interview series that presents founders, innovators and thought
Keynote Lecture at COMPAY 21
Check out the fantastic program of COMPAY 21, the third MICCAI workshop on Computational Pathology. Dr. Chen Sagiv, DeePathology co founder and co CEO, will
4th ESVP, ECVP and ESTP Cutting Edge Pathology Congress
ONLINE – 15-17 September 2021
Visit us at our virtual booth at the CEP congress!
Visit us at our virtual booth and join Dr. Luisa Möhle and Dr. Chen Sagiv to hear about AI solutions creation for pathology with real
Podcast on the challenges and excitement surrounding innovation in the digital pathology industry
Podcast with Digital Pathology Place and Dr, Aleksandra Zuraw
International Women’s Day 2021
Happy International Women’s Day! Dr. Chen Sagiv, DeePathology co-founder and co-CEO took part in the European Wrap-U-International Women’s Day 2021 event where she gave a
Exciting new features in the DeePathology STUDIO 2021
On March 16, 2021, DeePathology’s co-founder and CTO Jacob Gildenblat held a webinar about the DeePathology™ STUDIO 2021 with exciting new features: Enhanced cell detection mode
Machine Learning-Supported Analyses Improve Quantitative Histological Assessments of Amyloid-β Deposits and Activated Microglia
Pablo Bascuñana, Mirjam Brackhan, Jens Pahnke
Deep learning for sensitive detection of Helicobacter Pylori in gastric biopsies
Sebastian Klein, Jacob Gildenblat, Michaele Angelika Ihle, Sabine Merkelbach-Bruse, Ka-Won Noh, Martin Peifer, Alexander Quaas & Reinhard Büttner
Meet us (virtually) at the 32nd Congress of the ESP and XXXIII International Congress of the IAP!
6-8 December 2020
Join the AI for Pathologists Network
We at DeePathology aim to bring AI to every pathologist and every pathology lab. Are you a pathologist working in a developing country with enthusiasm
DIY AI-based image analysis for pathology. How DeePathology incorporated respect for pathologists’ time into their software
Podcast with Digital Pathology Place and Dr, Aleksandra Zuraw
Lessons from COVID-19: Embrace Digital Pathology and AI to Move Fast!
Dr Chen Sagiv
The “AI for Pathologists” Course starts today!
Today, Dr. Chen Sagiv will present the first lecture of our free “AI for Pathologists” course. The aim of this course is to bring AI
Certainty Pooling for Multiple Instance Learning
Jacob Gildenblat, Ido Ben-Shaul, Zvi Lapp, Eldad Klaiman
DeePathology has joined the NVIDIA Inception program
DeePathology Ltd. today announced it has joined the NVIDIA Inception program, a virtual accelerator designed to nurture startups revolutionizing industries with advancements in AI and
DeePathology collaborates with Prof. Jens Pahnke in Alzheimer research
We are privileged to collaborate with Prof. Jens Pahnke on Alzheimer research. Prof. Pahnke is a member of the DeePathology.ai advisory board and is heading
February 2020
I had so much fun this evening, giving a talk on DeePathology & Active Learning in the Deep Learning for Women course organized by Elizabeth
DeePathology Decision Support for Tuberculosis Diagnosis
DeePathology engages in the mission to end TB! We are happy to share with you that DeePathology has developed a Pathologist Decision Support System for
DeePathology is partnering with Inspirita
DeePathology and Inspirita announce new technical partnership and solution integration! We are happy to join forces with Inspirita’s team, sharing the vision of open, flexible
November 2019
Winner of the 2nd place at the Best Medical App Competition in MEDICA! DeePathology won today the 2nd place at the Best Medical App Competition
November 2019
DeePathology in Japanese media! We are happy to be in the Japanese media. For more click here.
October 2019
Self-Supervised Similarity Learning for Digital Pathology Are you in Shenzen for MICCAI ? Then don’t miss the talk of Eldad Klaiman tomorrow, October 13, at
Integrating the H. Pylori Decision Support System into routine pathology in Catania
DeePathology’s AI H. Pylori Decision Support System is integrated into the routine pathology workflow at the Cannizzaro Hospital in Catania! Prof. Filippo Fraggetta, Head of
Virtualization of Tissue Staining in Digital Pathology Using an Unsupervised Deep Learning Approach
Amal Lahiani, Jacob Gildenblat, Irina Klaman, Shadi Albarqouni, Nassir Navab, Eldad Klaiman
18th National Life Science & Technology Week
MIXiii-BioMed 2019 was the 18th National Life Science and Technology Week that took place in Tel Aviv, Israel in May and we couldn’t miss out.
Self-Supervised Similarity Learning for Digital Pathology
Jacob Gildenblat, Eldad Klaiman
Generalising multistain immunohistochemistry tissue segmentation using end-to-end colour deconvolution deep neural networks
Amal Lahiani, Jacob Gildenblat, Irina Klaman, Nassir Navab, Eldad Klaiman
This Israeli Startup Is Using AI To Revolutionize Pathology!
Daniel Singer