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New AI Model Predicts Disease Risk while You Sleep

A poor night’s sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road. A new artificial intelligence model developed by Stanford Medicine researchers and their colleagues can use physiological recordings from one night’s sleep to predict a person’s risk of developing more than 100 health conditions.

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AI Gives a Clearer Picture of Functional MRI Brain Data

Obtaining clearer functional MRI data about the brain and its disorders is possible using artificial intelligence (AI), according to Boston College researchers who reported recently in Nature Methods that they developed an AI-assisted method to remove “noise”, or image distortions, caused by movement, heartbeat, and other factors.

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Machine Learning Drives Drug Repurposing for Neuroblastoma

Using machine learning and a large volume of data on genes and existing drugs, researchers at Lund University in Sweden have identified a combination of statins and phenothiazines that is particularly promising in the treatment of the aggressive form of neuroblastoma. The results from experimental trials showed slowing of tumour growth and higher survival rates.

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Novel AI Tool Offers Prognosis for Patients with Head and Neck Cancer

A team led by investigators at Mass General Brigham and Dana-Farber Cancer Institute has developed and validated an artificial intelligence (AI)-based noninvasive tool that can predict the likelihood that a patient’s oropharyngeal cancer - a type of head and neck cancer that develops in the throat - will spread, thereby signaling which patients should receive aggressive treatment.

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New EPIVINF Study Highlights a Promising Model for Long COVID Research

Researchers from IRTA and IrsiCaixa, partners in the EPIVINF project, have identified the golden Syrian hamster as a potential relevant model for studying the biology of long COVID, also known as post-COVID-19 condition (PCC).

Long COVID is not a single disease but a complex syndrome involving a range of persistent symptoms. People suffering from it report overwhelming fatigue, memory lapses, "brain fog,"

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AI-Powered Wearable Boosts Preventative Care for Elderly

University of Arizona researchers in the Gutruf Lab have developed a comfortable, easy-to-use wearable device that incorporates artificial intelligence (AI) to detect subtle warning signs of frailty, signifying a leap forward in elderly care.

"The current model of care is lagging behind," said Philipp Gutruf, associate department head of biomedical engineering and senior author on the study.

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AI could Help Predict Nutrition Risks in ICU Patients

A new study by researchers at the Icahn School of Medicine at Mount Sinai suggests that artificial intelligence (AI) could help predict which critically ill patients on ventilators are at risk of underfeeding, potentially enabling clinicians to adjust nutrition early and improve patient care. Details of the study were published in the online issue of Nature Communications.

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Open Call DIGITAL-2026-AI-09-SOLUTIONS-CANCER-STEP: Deployment of Cutting-Edge Multi-Modal AI-Based Solutions in Medical Imaging

By building on, extending and leveraging the Cancer Image Europe platform, this action is expected to facilitate the uptake of EU AI-driven solutions in medical imaging (including Machine Learning and Generative AI), towards their deployment in clinical settings. It should also include upskilling of healthcare professionals and evidence generation to evaluate the performance of the deployed AI-driven solutions and engage patients.

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AI Detects Early Signs of Aging from Chest X-Rays

Artificial intelligence (AI) may be able to reveal how fast your body is aging by analyzing a chest X-ray, according to a new study published in The Journals of Gerontology. Researchers found that a deep learning model was able to detect subtle, age-related changes in the heart, lungs, and overall health more effectively than leading DNA-based "epigenetic clocks."

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Researchers Discover Bias in AI Models that Analyze Pathology Samples

Pathology has long been the cornerstone of cancer diagnosis and treatment. A pathologist carefully examines an ultrathin slice of human tissue under a microscope for clues that indicate the presence, type, and stage of cancer.

To a human expert, looking at a swirly pink tissue sample studded with purple cells is akin to grading an exam without a name on it - the slide reveals essential information about the disease without providing other details about the patient.

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