Now, scientists at Scripps Research have built a new AI model to improve detection and prediction of various heart diseases, which may be particularly useful in settings with limited labeled data or fewer available ECG leads. Published in Lancet Digital Health on September 1, 2026, the new tool, called ECG-CLIP, was trained using over 1.7 million ECGs collected from more than 540,000 people and paired with clinicians’ notes, embedding the tool with knowledge that may make it more adaptable for different disease detection and prediction tasks in real-world clinical environments.

A University of Miami-led study found that artificial intelligence can complement traditional weather models by offering useful guidance Atlantic tropical cyclones several days before they form.

HONG KONG, August 28, 2026 — Insilico Medicine ("Insilico"), a clinical-stage biotechnology company powered by generative artificial intelligence (AI), today announced the publication of a landmark study in Alzheimer's & Dementia: The Journal of the Alzheimer's Association. In close collaboration with researchers from the University of Oslo (UiO) and Akershus University Hospital (Ahus) led by Dr. Sofie Lautrup and Prof. Evandro Fei Fang, the team utilized Insilico's proprietary AI biology platform, PandaOmics, alongside extensive experimental validation to uncover new molecular targets for Alzheimer’s disease (AD) and other neurodegenerative conditions.

The research provides compelling evidence that the impairment of the NAD⁺-mitophagy axis plays a central role in both healthy brain aging and neurodegeneration. By examining large-scale human data, the team demonstrated that interventions modulating mitochondrial metabolism hold profound potential for diagnosing and treating age-related cognitive decline.