AI-analyzed blood test can predict the progression of neurodegenerative disease

Evaluating the effectiveness of therapies for neurodegenerative diseases is often difficult because each patient’s progression is different. A new study shows artificial intelligence (AI) analysis of blood samples can predict and explain disease progression, which could one day help doctors choose more appropriate and effective treatments for patients.

BP Looks to ORNL, ADIOS to Help Rein in Data

British Petroleum researchers invited ORNL data scientists to give the company’s high-performance computing team a tutorial of the laboratory’s ADIOS I/O middleware. ADIOS has helped researchers achieve scientific breakthroughs by providing a simple, flexible way to describe data in their code that may need to be written, read, or processed outside of the running simulation. ORNL researchers Scott Klasky and Norbert Podhorszki demonstrated how it could help the BP team accelerate their science by helping tackle their large, unique seismic datasets.

What 26,000 books reveal when it comes to learning language

What can reading 26,000 books tell researchers about how language environment affects language behavior? Brendan T. Johns, an assistant professor of communicative disorders and sciences at UB has published a computational modeling study that suggests our experience and interaction with specific learning environments, like the characteristics of what we read, leads to differences in language behavior that were once attributed to differences in cognition.

Research to Prevent Blindness and American Academy of Ophthalmology Award Grants for Big Data Research to Improve Patient Care

The American Academy of Ophthalmology (the Academy) and Research to Prevent Blindness (RPB) today announced this year’s recipients of the Research to Prevent Blindness/American Academy of Ophthalmology Award for IRIS® Registry Research. The grant supports researchers who want to conduct big data research in ophthalmology and blindness prevention.