StratifAI

🚀 New tech publication from StratifAI! 🚀 We presented our latest research work, selected for oral presentation, at one of the largest medical imaging conferences in the world, #MICCAI2024 🤩 In this technical research paper, we show improvements beyond the current state of the art in predicting relevant cancer biomarkers which are predictive of treatment response using deep learning in pathology 🔬 Check out the full paper below 👇 https://lnkd.in/gG_a24eS #cancer #oncology #treatment #biomarkers #pathology #deeplearning #medicalimaging #StratifAI #paper #cancerresearch #artificialintelligence #precisiononcology #MSI #HRD #immunotherapy #PARPi

We are excited to announce our participation in the NVIDIA Inception Program! This program is designed to assist startups in rapid growth, providing a variety of resources ranging from computing power to access to investor networks, allowing us to accelerate our development of state-of-the-art deep learning models for precision oncology. 🚀 #NVIDIAInception #StratifAI #PrecisionOncology #AIStartup #cancer #biomarkers #deeplearning #VC #AWS #NVIDIA #GPU #cloud

🚀 Exciting news! StratifAI has been selected as one of the top 10 finalists to pitch in the "Cancer Care" track of Health Tech Challengers 2024 in Barcelona! A huge thank you to our amazing team and supporters! 🙌 We’re looking forward to sharing our vision for the next generation of biomarkers for precision oncology. #precisiononcology #deeplearning #biomarkers #prognostication #pitch #startup #challenges #deeptech

🚀 New Nature Portfolio publication from StratifAI! 🚀 We’re pleased to announce that our latest paper, "From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology", has been published in Nature Protocols! 🎉 The protocol sets the standard for executing computational pathology projects, providing a step-by-step workflow that bridges the gap between clinical researchers and engineers. It is designed to streamline the prediction of biomarkers directly from whole-slide images, making it an invaluable tool for precision oncology. At StratifAI, we’re leading the way in this rapidly evolving field. While this protocol establishes a solid foundation, we’re developing more advanced models and techniques to push the boundaries of what’s possible in computational pathology. Stay tuned for more innovations as we continue to enhance precision oncology through cutting-edge AI technology. 💡 🔗 Read the full protocol here: https://lnkd.in/gpc5BzY6 #AI #DeepLearning #ComputationalPathology #Innovation #CancerResearch #StratifAI

We are thrilled to have StratifAI represented by our co-founders Daniel Truhn and Jakob Nikolas Kather in the session for AI in Clinical Data Analysis at the conference for AI and Electronics for Medicine 2024 in Dresden. 💡 Specifically, our Chief Medical Officer Prof. Dr. med. Daniel Truhn will present on "AI Biomarkers in Oncology: From Research to Practice". The talk covers StratifAI's pioneering work in translating AI-based biomarkers into clinical routine for cancer patient care. 💊 Read more about the conference👇 https://lnkd.in/euuYWRvZ Read more about our latest research 👇 https://lnkd.in/grnKs8VZ https://lnkd.in/gzP-ydwV #precisiononcology #biomarkers #AI #prognostication #outcomes #cancer #pathology #multimodal #innovation

We're thrilled to announce that StratifAI has raised €1.5M in pre-seed funding led by Neulogy Ventures and MultiplexDX International, with participation from Debiopharm, Arve Capital and Christoph Haarburger 🚀 With our diverse team of computer scientists and medical doctors, StratifAI builds the next generation of AI-based biomarkers to improve cancer patient outcomes 🧬 A huge thank you to our amazing investors, mentors and early supporters who believe in our vision. This is only the beginning! Check out the full press release below 👇 https://lnkd.in/gZj5uabH #precisiononcology #biomarkers #AI #cancer

#Biomarkers and #PrecisionOncology   How are AI biomarkers revolutionizing #oncology – from research to clinical practice?   👉 Find out during the talk of Daniel Truhn from StratifAI at #AIEfM24 Session 1 He explores the development and validation of AI-based #biomarkers for cancer diagnosis, prognosis, and treatment response prediction. Hear about the challenges and opportunities in translating these biomarkers into clinical practice – with an emphasis on their potential to improve patient outcomes and personalize cancer care.   The full program including all sessions can be found at: ➡ www.aiefm.de   Technische Universität Dresden Universitätsklinikum Carl Gustav Carus Dresden Else Kröner Fresenius Center for Digital Health Jochen Hampe Gerhard Fettweis #conference #AIEFM24 #AIandElectronicsforMedicine 📸 Daniel Truhn