Welcome to #1 DIGITAL HEALTH NEWS Portal

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.

Read more ...

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,"

Read more ...

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.

Read more ...

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.

Read more ...

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.

Read more ...

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."

Read more ...

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.

Read more ...

New Video Dataset to Advance AI for Health Care

Researchers at the University of Pennsylvania have launched Observer, the first multimodal medical dataset to capture anonymized, real-time interactions between patients and clinicians. Much like the medical drama The Pitt, which portrays life in the emergency room, Observer lets outsiders peer inside primary care clinics - only, in this case, none of the filmed interactions are fictional.

Read more ...

A New Way to Diagnose Deadly Lung Infections and Save Lives

Lung infections like pneumonia are among the world’s top killers - but diagnosing them is notoriously hard.

Now, researchers at UC San Francisco have found a way to identify these infections in critically ill patients by pairing a generative AI analysis of medical records with a biomarker of lower respiratory infections.

Read more ...

Philips Agrees to Acquire SpectraWAVE Inc.

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today announced it has entered into an agreement to acquire SpectraWAVE, Inc., an innovator in Enhanced Vascular Imaging (EVI) of coronary arteries, angiography-based physiology assessments, and the use of AI in medical imaging [3]. SpectraWAVE’s intravascular imaging and physiological assessment technologies provide advanced solutions for the treatment of patients with coronary artery disease, the most frequent type of heart disease, affecting more than 300 million people worldwide [4].

Read more ...