Last update:

Health informatics news

Parkinson's & Movement disorders

Network theory insights lead to a mathematical representation of Parkinson's disease

Neurodegenerative diseases, such as Parkinson's disease, can be thought of as arising from malfunctions in the network of neuronal agglomerates in the brain. It is therefore often useful to apply insights from a branch of ...

Cardiology

Cardiology collaboration advances machine learning predictions for AFib after stroke

Researchers at Penn State are using machine learning and existing electrocardiogram (ECG) data to help doctors make more accurate predictions. A team of artificial intelligence engineers, in collaboration with a team of physicians ...

Diseases, Conditions, Syndromes

Global research team develops H5N1 detection kit to tackle avian flu

The Diagnostics Development Hub (DxD Hub), a national platform hosted by the Agency for Science, Technology and Research (A*STAR), Singapore, in collaboration with the National Institute for Environmental Studies (NIES), ...

Psychology & Psychiatry

AI model can diagnose depression via speech and brain neural activity

Depression is one of the most common mental illnesses. As many as 280 million people worldwide are affected by this disease, which is why researchers at Kaunas University of Technology (KTU) have developed an artificial intelligence ...

Oncology & Cancer

AI enhances early detection of pancreatic cysts

When it comes to early detection of silent but deadly diseases like pancreatic cancer, finding it early and predicting disease aggressiveness are critical for increasing long-term survival.

Diseases, Conditions, Syndromes

Students develop AI model for middle ear disease detection

Understanding the middle ear is essential—not only for hearing but also for balance and quality of life. According to the National Institutes of Health, in the U.S., one in eight adults has hearing loss, and nearly 28% ...

Radiology & Imaging

Radiologists could soon be using AI to detect brain tumors

A paper titled "Deep Learning and Transfer Learning for Brain Tumor Detection and Classification" published in Biology Methods and Protocols shows that scientists can train artificial intelligence (AI) models to distinguish ...

Medical economics

Study shows State Innovation Models improve health data

First-of-its-kind research by Tarang Parekh, assistant professor of epidemiology, reviewed the State Innovation Models (SIM), a payment system introduced by the Centers for Medicare and Medicaid Services in 2013, which provides ...

Psychology & Psychiatry

Intimate partner violence: Preserving patient privacy can save lives

Historically, South Carolina has had some of the highest rates of intimate partner violence, or IPV, in the U.S. IPV encompasses any physical or sexual violence, stalking and psychological aggression by a current or previous ...

Health informatics

Digital health, precision medicine: Review urges integration

A new systematic review of pharmacogenomics clinical decision support systems used in clinical practice in OMICS: A Journal of Integrative Biology suggests that these e-health tools can help accelerate pharmacogenomics, precision/personalized ...

Psychology & Psychiatry

Using machine learning to uncover predictors of well-being

Irrespective of their personal, professional and social circumstances, different individuals can experience varying levels of life satisfaction, fulfillment and happiness. This general measure of life satisfaction, broadly ...

Health informatics

Ehrapy: A new open-source tool for analyzing complex health data

Led by Helmholtz Munich, scientists have developed an accessible software solution specifically designed for the analysis of complex medical health data. The open-source software called "ehrapy" enables researchers to structure ...