Optellum and Bristol Myers Squibb Partner for AI-Driven Lung Cancer Diagnosis
Optellum has entered an agreement with Bristol Myers Squibb to leverage artificial intelligence for early lung cancer diagnosis, announced in a press release. Optellum will utilize its AI-powered imaging and clinical decision support platform to assess the real-world impact on patient outcomes.
The collaboration aims to redefine early diagnosis and precision lung cancer care by deploying Optellum's Virtual Nodule Clinic (VNC) platform across multiple healthcare systems in the United States. This platform, which is the first FDA-cleared AI-powered decision support tool for early-stage lung cancer, integrates Patient Discovery AI and a Lung Cancer Prediction score to identify and prioritize at-risk patients for follow-up.
The agreement builds on an existing research collaboration between the two companies, focusing on democratizing access to life-saving early diagnosis and generating evidence to accelerate the deployment of AI-optimized lung cancer care pathways. The initiative seeks to improve thoracic care pathways and ensure that patients benefit from modern treatment options.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Life Sciences
Oct 16 Study Tests Smartphone AI for Children's Lung Sounds Oct 16 Manhattan Physician Invests in RunPractice Oct 16 Attilio appoints Buck Institute CEO Eric Verdin as cochairman Oct 16 Aignostics launches HETA Clinical for pathology workflows Oct 16 Specialty1 Partners Invests in AI for Dental Practice OperationsLife AI Weekly
Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Brainomix and Pulmonary Fibrosis Foundation Partner on AI Lung Imaging Research
Lunit and Discovery Life Sciences Partner on AI Tissue Analysis
Linearis Joins Two Canadian AI Health Data Projects
MediSights Reports Study Using AI Agents for Myeloma Market Research
AbbVie Partners With Valkai on AI Tools for Clinical Development
Daily AI Brief: the AI news that matters, in your inbox.