
๐ข ๐๐๐๐ ๐๐: $Tempus AI(TEM.US) Tempus AI, Yale, and MSK Launch Open-Source Digital Pathology Consortium
๐ ๐๐๐ฒ ๐๐ข๐ ๐ก๐ฅ๐ข๐ ๐ก๐ญ๐ฌ:โค Tempus AI, ๐๐๐ฅ๐ ๐๐๐ฐ ๐๐๐ฏ๐๐ง and ๐๐๐ launch the IMS Consortium.โค Initiative aims to accelerate ๐๐ข๐ ๐ข๐ญ๐๐ฅ ๐ฉ๐๐ญ๐ก๐จ๐ฅ๐จ๐ ๐ฒ standardization and adoption.โค Tempus will open source the ๐๐๐ข๐ ๐ ๐๐๐ platform and key modules.โค Platform includes slide viewing, case management, and ๐๐ ๐จ๐ซ๐๐ก๐๐ฌ๐ญ๐ซ๐๐ญ๐ข๐จ๐ง tools.โค Consortium seeks to build an open, interoperable digital pathology ecosystem.โค Focus includes AI-powered diagnostics, biomarker discovery, and workflow efficiency.โค Additional academic and industry members are expected to join over time.๐ฌ ๐๐ฑ๐ฉ๐๐ซ๐ญ ๐๐ญ๐๐ญ๐๐ฆ๐๐ง๐ญ:โPathology is entering a transformative new era,โ said Razik Yousfi, SVP and GM of AI Products at Tempus.โAdvances in deep learning and AI foundation models are enabling digital pathology to generate powerful insights directly from whole slide images, from cancer detection to molecular profiling. As demand for diagnostic and biomarker testing continues to rise, digital pathology offers a unique opportunity to enhance patient care by optimizing tissue utilization, uncovering actionable biomarkers, and improving laboratory workflows. We are excited to collaborate with YNHH and MSK to help bring the full potential of digital pathology into clinical practice.โโDigital pathology is transforming how we deliver diagnostics, advance translational research, and integrate AI into clinical care,โ said Chen Liu, MD, PhD, Chief of Pathology at YNHH.โWe are excited to join the Tempus IMS Consortium as a founding member and collaborate with leading academic and industry partners to help build an open, scalable, and interoperable digital pathology ecosystem. Open innovation and shared standards will be essential to accelerating adoption, improving workflow efficiency, and enhancing patient care.โ"Digital pathology lacks opensource and openaccess clinical-grade solutions for on-prem/cloud slide viewing, case management, and AI deployment," said Saad Nadeem, PhD, Associate Attending Computer Scientist at MSK."This open source IMS initiative is an important first step, providing opportunities for companies/institutions to develop, deploy, validate, monitor, and disseminate AI solutions with standardized workflows. Building on MSK's longstanding commitment and leadership in digital pathology, we look forward to working with our IMS Consortium partners to democratize access to digital pathology worldwide."The copyright of this article belongs to the original author/organization.
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