Insilico Medicine and Human Longevity Partner on AI Foundation Model for Longevity Science
Insilico Medicine and Human Longevity, Inc. have announced a multi-million dollar collaboration to develop what they describe as the industry's first large-scale AI foundation model dedicated to longevity science, according to a press release.
The new company Human Life Foundation Models, established by Human Longevity, will work with Insilico to build a model that decodes the biological mechanisms of aging and supports predictive healthcare. Insilico will provide its experience in multimodal foundation model development and deep learning, using its MMAI Gym platform for architecture design, benchmarking, and algorithm development.
Human Life Foundation Models will combine these technologies with Human Longevity’s de-identified multi-omic and clinical datasets, which include imaging and longitudinal health records from thousands of individuals. This integration will enable the training of models capable of detecting and managing patient conditions with clinical precision.
The companies plan to commercialize the resulting foundation models to advance early detection of age-related diseases, predictive health risk modeling, and discovery of new therapeutics aimed at extending healthy human lifespan.
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 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 Operations Oct 15 Study Tracks 270 Million Clinical AI Queries on OpenEvidence Oct 15 OpenAI Offers US University Labs Free GPT-Rosalind AccessLife 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
Deep Longevity to Launch Accrua Telehealth Platform in US
Immorta Bio completes preclinical studies of AI designed senolytic peptide
Cellular Intelligence Adds Yann LeCun and Three Scientists to Advisory Board
Oracle and Buck Institute Use Health Data for Aging Research
Daily AI Brief: the AI news that matters, in your inbox.