Researchers at Washington University School of Medicine in St. Louis have developed an approach to estimating when a person who is likely to develop Alzheimer’s disease, but has no cognitive symptoms, will start showing signs of Alzheimer's dementia.

The algorithm, available online in the journal Neurology, uses data from a kind of brain scan known as amyloid positron emission tomography (PET) to gauge brain levels of the key Alzheimer's protein amyloid beta.

A new study has shown that issues surrounding trust are still at the heart of people's reluctance to download and use the NHS App, particularly among Black, Asian and minority ethnic (BAME) communities.

Researchers from the University of Nottingham's Horizon Digital Research Institute and the Trustworthy Autonomous Systems (TAS) Hub undertook a survey of

Telemedicine appointments combined with in-person visits significantly reduced the risk of further illness for children with medically complex cases, according to results of a new study by researchers with The University of Texas Health Science Center at Houston (UTHealth).

Children with medically complex cases require intense care supervision for conditions like genetic diseases, feeding difficulties, and developmental delays.

Using the internet during your retirement years can boost your cognitive function, a new study has found.

Researchers from Lancaster University Management School, the Norwegian University Science and Technology and Trinity College Dublin examined the cognitive function of more than 2,000 retired people from across Europe, and found that post-retirement internet usage is associated with substantially higher scores on tests.

A computer program trained to see patterns among thousands of breast ultrasound images can aid physicians in accurately diagnosing breast cancer, a new study shows.

When tested separately on 44,755 already completed ultrasound exams, the artificial intelligence (AI) tool improved radiologists' ability to correctly identify the disease by 37 percent and reduced the number of tissue samples, or biopsies, needed to confirm suspect tumors by 27 percent.

A prescriptive computer program developed by the USC Marshall School of Business and Wharton School of Business of the University of Pennsylvania for Greece to identify asymptomatic, infected travelers may have slowed COVID-19’s spread through its borders, a new study in the journal Nature indicates.

Mathematical modeling of disease spread suggests that herd immunity could be achieved with fewer vaccine doses by using Bluetooth-based contact-tracing apps to identify people who have more exposure to others - and targeting them for vaccination. Mark Penney, Yigit Yargic and their colleagues from the Perimeter Institute for Theoretical Physics in Ontario, Canada, present this approach in the open-access journal PLOS ONE on September 22, 2021.