A peer-reviewed article in Neurobiology of Learning and Memory is challenging a foundational assumption about how animals and ...

The study, led by Kalyani Chaubey, PhD, from the Pieper Laboratory and published in Cell Reports Medicine 00608-1), tested whether brains with advanced Alzheimer’s-like damage could recover. Using ...

In the study, researchers compared two such parameterizations: one developed by Fox-Kemper in 2011 and another developed in ...

Researchers develop a radiomics-based machine learning model to identify patients with traumatic brain injury at risk ...

The increased awareness of neurodiversity has led to the acceptance of a broad spectrum of 'normal' neurodevelopmental phenotypes. A new study in JCCP Advances develops a factor structure to examine ...

Machine learning model predicts poor pain-related quality of life after endometriosis surgery to assist clinicians with preoperative counseling.

Artificial intelligence is rapidly transforming weather prediction, enabling forecasts that once required hours of ...

Reintroducing Alzheimer disease and related dementias (ADRD) hierarchical condition categories (HCCs) into the Medicare Advantage (MA) risk-adjusted payment model was linked to improved care access ...

For more than a century, Alzheimer’s disease has been framed as irreversible. Once memory and thinking decline, recovery has not been considered possible. That belief shaped nearly all research, which ...