EXoPERT Joins Johnson & Johnson’s JLABS TMC to Advance AI Cancer Diagnostics
EXoPERT has joined JLABS TMC, part of Johnson & Johnson’s global incubator network, announced in a press release. The Houston-based biotechnology company develops AI-powered exosome-based liquid biopsy diagnostics for early cancer detection.
As a JLABS resident, EXoPERT gains access to infrastructure, resources, and partnerships across the pharmaceutical, biotechnology, and medical technology sectors. The company aims to advance clinical validation of its platform, which integrates high-purity exosome isolation, surface-enhanced Raman spectroscopy, and AI-driven molecular analysis to enable non-invasive detection of early-stage cancers.
EXoPERT is collaborating with institutions including Johns Hopkins University School of Medicine, City of Hope, and several U.S. Department of Veterans Affairs medical centers. These partnerships will support evaluation of the platform’s performance across diverse patient populations and assist in moving toward regulatory approval.
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
Sep 29 University Medical Center Göttingen Adopts MDClone Clinical Data Platform Sep 29 LUNGevity Awards $2 Million for Lung Nodule Risk Studies Sep 28 Deep Longevity to Launch Accrua Telehealth Platform in US Sep 28 United Imaging Intelligence Releases Medical Video AI Framework Sep 28 Orca Dental AI Brings CephX Imaging Tools to Planet DDS Cloud 9Life 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
Linearis Joins Two Canadian AI Health Data Projects
XpertDox Brings AI Medical Coding to Kai Shin Clinic
Konko AI Raises $6 Million for Patient Journey Platform
MediSights Reports Study Using AI Agents for Myeloma Market Research
Astrin Names Medical Director as Certitude Breast Expands Nationwide
Daily AI Brief: the AI news that matters, in your inbox.