QC Healthcare Partners With Sanguina for AI Blood Health Screening
QC Healthcare announced in a press release a collaboration with Sanguina to integrate its AI based fingernail analysis technology into the My Pediatric Doctor and My Adult Doctor platforms. The initial deployment will support pediatric and adult telehealth services available 24 hours a day.
The patented technology analyzes fingernail videos to screen for and track anemia, circulation issues, and other blood health risks. QC Healthcare also plans to use it in the My VA Doctor and My Oncology Doctor platforms.
Sanguina's Circulation Score is a screening and monitoring tool, not a diagnosis or substitute for laboratory testing, physical examinations, or emergency evaluation. The companies will also work on clinical validation, real world evidence, and clinical trial recruitment and coordination.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief, Life AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Nov 12 Mews Joins Preferred Hotels Partner Program Nov 12 OpenAI Names Aleph ChatGPT Ads Reseller in 44 Markets Nov 12 BlueMedia Partners With ChatGPT Ads for Global Campaigns Nov 12 Gartner forecasts AI infrastructure spending will reach $2.4 trillion in 2027 Nov 12 Gilbert + Tobin Rolls Out ChatGPT Enterprise and Codex, Reports 87% Active UseMore from Life Sciences
Nov 12 Biomatter Raises $18 Million for AI Enzyme Design Nov 12 BioMap Announces 11 AI Life Science Collaborations Nov 11 Optum and Alameda Alliance Partner on AI Claims Automation Nov 11 Mosaic Raises $47M for Blood Vessel Surgery Robots Nov 11 Kardi AI Raises €5.3 Million for Heart Monitoring ExpansionLife 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
Helfie AI and Health Innovation South West to Test Smartphone Hypertension Screening
Siggy Raises $6 Million for AI Mental Health Service
Penn's Percival AI Flags Hidden Disease Signals in Routine CT Scans
ACL Digital Launches AgentixCare for Healthcare Operations
Sainaptic Raises £1 Million for AI Assisted Assessment Tools
Daily AI Brief: the AI news that matters, in your inbox.