A new study offers insight into the health and lifestyle indicators—including diet, physical activity and weight—that align ...

Our brains may work best when teetering on the edge of chaos. A new theory suggests that criticality a sweet spot between order and randomness is the secret to learning, memory, and adaptability. When ...

Machine learning–driven approaches for predicting T-cell–mediated immunity and beyond. Yulun Chiu , Cassian Yee , Cheng-chi Chao , Xiling Shen Journal of Clinical Oncology 2025 43: 16_suppl , ...

Learn about Alzheimer's Disease symptoms such as memory loss and senile dementia. Find out about the treatments and causes, as well as the stages of Alzheimer's Disease and dementia.

In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is ...

Hypothyroidism, but not hyperthyroidism, is a significant contributor to Alzheimer disease (AD) mortality, according to study results presented at the American Association of Clinical ...

There was an 11% increase in Alzheimer’s disease clinical trials scheduled for 2025 Stay up to date with notifications from The Independent Notifications can be managed in browser preferences.

Darmiyan Receives FDA Approval for Post-Market Surveillance Study of BrainSee, the First-in-Class Clinical Test for Predicting Risk of Progression to Clinical Alzheimer's Disease Provided by PR ...

One project Monteleoni worked on uses machine learning algorithms to combine the predictions of the approximately 30 climate models used by the Intergovernmental Panel on Climate Change.

Alzheimer’s is a growing crisis, affecting more than 7 million Americans today – a number that could surpass 13 million by 2050. Researchers are racing to better understand and treat the disease.