Deep Learning Outperforms Standard Machine Learning in Biomedical Research Applications, Research Shows

Geordia State University : Compared to standard machine learning models, deep learning models are largely superior at discerning patterns and discriminative features in brain imaging, despite being more complex in their architecture, according to a new study in Nature Communications led by Georgia State University.

Advanced biomedical technologies such as structural and functional magnetic resonance imaging (MRI and fMRI) or genomic sequencing have produced an enormous volume of data about the human body. By extracting patterns from this information, scientists can glean new insights into health and disease. This is a challenging task, however, given the complexity of the data and the fact that the relationships among types of data are poorly understood.

Stereotypes Can Harm Performance Of Older Adults On Cognitive And Physical Tasks

Georgia State University:  When older adults are viewed as cognitively or physically impaired, they perform below their abilities on tasks, according to a recent review article by Sarah Barber, a psychology and gerontology researcher at Georgia State University. Groups who are stigmatized—whether due to race, socioeconomic status or age—perform more poorly when they are faced with negative stereotypes, Barber said. She found expectations of others can play a powerful role in how well older adults perform on cognitive tasks and motor skills such as driving.

Babies pay attention with down payment from immature brain region

Yale :Anyone who has watched an infant’s eyes follow a dangling trinket dancing in front of them knows that babies are capable of paying attention with laser focus.

But with large areas of their young brains still underdeveloped, how do they manage to do so?