Medibyt Gets FDA Clearance for CPETWise Cardiopulmonary Test Software
Medibyt announced in a press release that the U.S. Food and Drug Administration (FDA) granted 510(k) clearance to CPETWise, its cardiopulmonary exercise test analysis and reporting software. The clearance covers CPETWise under K260242 and allows Medibyt to begin commercialization in the United States.
CPETWise is designed to convert physiological test data into a standardized clinical workflow for CPET analysis, interpretation, and reporting. The company said the software keeps underlying data and interpretation visible to clinicians.
Medibyt said it has started a commercial pilot with a U.S. CPET company to integrate CPETWise with its systems and improve data transfer. The company also reported results from a 100 case proof of concept study at the University of Washington, including an average user satisfaction score of 4.5 out of 5 and a reduction of more than 50% in CPET interpretation time.
Demonstration environments for CPETWise are deployed at Columbia University, the University of Washington, UCLA, Sheba Medical Center, Ichilov Medical Center, and other centers. Medibyt said it is also developing machine learning capabilities using about 4,000 retrospective CPET records interpreted by CPET experts.
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 12 Aignostics Opens Early Access to PathoSearch Sep 11 Ultima Genomics and NVIDIA Collaborate on Pangenome Sequencing Analysis Sep 11 UrgentIQ Raises $15 Million for AI Clinical Workflows Sep 11 Penguin Ai Launches Revenue Cycle AI Platform Sep 11 MegazoneCloud Builds Quality Assurance AI Agent for Hanmi PharmaceuticalLife 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
Empatica Gets FDA Clearance for Parkinson's Monitoring Platform
Medtronic Invests Up to $80 Million in Pi-Cardia
PENTAX Medical Expands MAGENTIQ EYE Colonoscopy AI Partnership Worldwide
Mednet Launches TrialMatch for Cancer Clinical Trial Discovery
UT Medical and TransformativeMed Build Agentic AI Discharge Planning Tool
Daily AI Brief: the AI news that matters, in your inbox.