PANXEON reads three signals to catch pancreatic cancer sooner

An AI-scored liquid biopsy from City of Hope caught stage 1 and 2 pancreatic cancer 87% of the time in…

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One AI watchdog now covers every ward in Abu Dhabi

A year after launch, the emirate's health department says its AI patient safety platform now connects 100% of hospitals and…

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Your one-stop resource for medical news and education.

Your one-stop resource for medical news and education.

AI-powered biosimulation shakes up animal drug testing

Digital twins and multi-agent virtual scientists are accelerating the FDA's push to reduce animal testing.

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AdvanCell raises $315 million for AI-driven radiotherapy

The Series D funds targeted alpha therapy for solid tumors using AI-powered isotope targeting.

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AI predicts aggressive liver cancer subtype in 20 hospital study

A deep learning model predicts aggressive liver cancer from CT scans across 3,100 patients, potentially replacing biopsies for treatment selection.

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Embedded transparency is key to equitable AI clinical trials

Researchers propose four pillars of embedded transparency to prevent AI bias from silently propagating through clinical trial infrastructure.

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Deep learning reads EHRs to predict antidepressant treatment response

Transformer models outperform traditional methods in predicting antidepressant response from electronic health records, advancing precision psychiatry.

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Anthropic launches Claude Science as flagship AI for drug development

Anthropic has launched Claude Science, positioning it as a flagship product alongside Claude Code and Claude Cowork for scientific research,…

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Neuro-symbolic AI forges a new path to safer clinical algorithms

A new paradigm combines deep learning with symbolic reasoning to make medical AI safer, more transparent and clinically trustworthy.

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Google’s TabFM Makes Accurate Predictions Without Fine-Tuning Per Dataset

Google's TabFM is a foundation model for tabular data that makes accurate predictions on entirely new datasets without per-dataset fine-tuning,…

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