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Health informatics news

Parkinson's & Movement disorders

Automatic speech recognition learns to understand people with Parkinson's disease—by listening to them

As Mark Hasegawa-Johnson combed through data from his latest project, he was pleasantly surprised to uncover a recipe for Eggs Florentine. Sifting through hundreds of hours of recorded speech will unearth a treasure or two, ...

Genetics

Polygenic score database updates increase diversity and usability of genetic data

Important new updates to the largest open database for polygenic scores, the Polygenic Score (PGS) Catalog, could help to generate more equitable disease risk predictions for a diverse range of ethnic backgrounds.

Health informatics

AI may enhance patient safety, say researchers

Generative artificial intelligence (genAI) uses hundreds of millions, sometimes billions, of data points to train itself to produce realistic and innovative outputs that can mimic human-created content. Its applications include ...

Oncology & Cancer

Saving time with AI-generated treatment plans for breast cancer

Drawing in the organs of individual breast cancer patients and then creating precise radiation plans appears to be faster by using artificial intelligence (AI) models. That way, it remains just as reliable and accurate. It ...

Oncology & Cancer

AI could predict breast cancer risk via 'zombie cells'

Women worldwide could see better treatment with new AI technology, which enables better detection of damaged cells and more precisely predicts the risk of getting breast cancer, shows new research from the University of Copenhagen.

Health informatics

Q&A: Should we label AI systems like we do prescription drugs?

AI systems are increasingly being deployed in safety-critical health care situations. Yet these models sometimes hallucinate incorrect information, make biased predictions, or fail for unexpected reasons, which could have ...

Psychology & Psychiatry

Social media posts may provide early warning of PTSD problems

Scientists have analyzed millions of tweets to identify COVID-19 survivors living with post-traumatic stress disorder (PTSD)—demonstrating the effectiveness of using social media data as a tool for early screening and intervention.

Parkinson's & Movement disorders

Wearable sensors, machine learning system could pinpoint Parkinson's

Parkinson's comes on slowly, and diagnosing the often-devastating movement disorder, particularly in its early stages, usually entails having patients perform a variety of mobility tasks, observing their walking and movement ...

Health informatics

New software guards the public from airborne radiation

A software application developed by Los Alamos National Laboratory makes accurate, actionable information available after an unexpected airborne radiological release to help first responders, policymakers and health professionals ...

Medical economics

Q&A: Donor funding falls short for Africa's digital health

As African countries struggle with overburdened health care systems, limited resources, and an increasing prevalence of chronic diseases such as cancer, digital health innovations are essential.

Gerontology & Geriatrics

New epigenetic clocks reinvent how we measure age

What causes us to age? New "clocks" developed by researchers may help point to the answers. Investigators from Brigham and Women's Hospital, a founding member of the Mass General Brigham health care system, unveil a new form ...

Cardiology

How a standard blood test can predict a heart attack

Using the results of a standard blood test and an online tool, you can find out if you are at increased risk of having a heart attack within six months. The tool has been developed by a research group at Uppsala University ...

Health informatics

Machine learning promises to accelerate metabolism research

A new study shows that it is possible to use machine learning and statistics to address a problem that has long hindered the field of metabolomics: large variations in the data collected at different sites.

Diseases, Conditions, Syndromes

Multimodal AI model may guide personalized treatments for tuberculosis

A team of University of Michigan researchers has developed a multimodal AI model to predict treatment outcomes of tuberculosis (TB) patients. Their analysis of worldwide patient data may lead to personalization of TB treatment.

Medical research

AI-supported image analysis: How metrics determine quality

More and more areas of medicine are relying on support from artificial intelligence (AI). This is particularly true for the wide range of questions based on the evaluation of image data: for example, doctors search mammograms ...