Kyndryl and University of Liverpool Partner on AI Healthcare Research
Kyndryl and the University of Liverpool will collaborate to develop AI-based healthcare technologies, announced in a press release. The initiative combines Kyndryl’s AI Innovation Lab and Agentic AI Framework with the university’s Civic Health Innovation Labs and AI for Life Frontier program.
In the first phase, the partnership will focus on conceptual AI projects aimed at improving patient interaction and care delivery. These include conversational AI services that help patients record symptoms, manage medication use, and better access healthcare and social services.
The collaboration will also build a shared library of innovation-ready AI models, drawing on population health datasets and testbed environments such as Data-into-Action and the Civic Data Cooperative. Kyndryl’s Liverpool-based AI Innovation Lab, launched in May 2025, will play a central role in the work, supporting the city’s Life Sciences Innovation Zone and contributing to the region’s health and life sciences ecosystem.
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 Truven launches MarketScan Snapshot for healthcare data checks Sep 29 Omega Healthcare Wins Gold in 2026 AI Breakthrough Awards Sep 29 Phylo Launches Target Atlas for Drug Target Prioritization Sep 29 ChromAgeNet Detects Aging Signs in Blood Stem Cell Images Sep 29 Axxess Partners With Eazewell for Hospice Family SupportLife 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
Scrum Alliance and Johns Hopkins Launch Healthcare AI Courses
Kyndryl and Skillsoft Offer Free AI Courses to US High Schools
Atman Health Wins ARPA-H Award to Build Heart Failure AI
Kairon Health Raises $5 Million for AI Care Operations Platform
Daily AI Brief: the AI news that matters, in your inbox.