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AI & Healthcare

226 summarised stories about AI & Healthcare, each linking back to the original source. Browse all topics →

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Anthropic NVIDIA Google DeepMind OpenAI United States Google

Thursday, 27 August 2026

The AI Odyssey: How a primal fear from the Ancient Greek world has been awakened by new technology

Fortune 31

The article argues that generative AI is reviving an ancient fear of being unable to resist a tempting shortcut, reframed through the sirens myth and compared to past controversies over writing, printing, and calculators. It cites a peak in 1986 when math teacher John Saxon led a protest about calculator use. It concludes that the main change from earlier technologies is that AI offloads thinking and evaluation, splitting people into those who practice and improve versus those who skip practice and drift toward habitual, unthinking use.

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AI Adoption AI Safety AI Automation AI & Healthcare

Ai2 and Providence Swedish Cancer Institute partner to advance AI-assisted scientific discovery

Allen Institute (AI2) 1 month ago 41

Ai2 partnered with the Paul G. Allen Research Center at the Providence Swedish Cancer Institute to run AutoDiscovery on cancer datasets. The collaboration analyzed The Cancer Genome Atlas (TCGA) and found a stronger immune signature in invasive lobular breast cancer, covering about 15% of breast cancer cases diagnosed in the US each year. AutoDiscovery is now being deployed in Providence’s own cloud to support hypothesis generation on protected research and clinical data, with findings validated across independent datasets and lab analyses.

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Large Language Models AI & Healthcare AI & Academia Scientific Discovery

Google Research Introduces GlucoFM: A 0.72M-Parameter Dual-Stream Foundation Model for Continuous Glucose Monitoring

MarkTechPost 1 month ago 51 ● 2 sources

Google Research and UNSW Sydney introduced GlucoFM, a self-supervised foundation model that splits continuous glucose monitoring traces into separate slow state and transient event streams. It has 0.72M trainable parameters and reached 58.8 task-averaged PR-AUC across 14 cohort–task evaluations. The work is a research prototype with no regulatory clearance and no public checkpoint as of 26 August 2026, but the code/reproducibility plan and CPU/24-hour inference recipe change deployment from model use to a reproducible training workflow.

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AI Benchmarking Model Training AI & Healthcare Foundation Models

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