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Understanding the brain, in part, means understanding how behavior is created. To reverse-engineer how neural circuits drive behavior requires accurate and vigorous tracking of behavior, yet the increasingly complex tasks animals perform in the laboratory have made that challenging. Now, a team of researchers is turning to artificial intelligence technology to solve the problem.

As chemistry has gotten more complex, it's no longer always practical for researchers to sit down at a lab bench and start mixing chemicals to see what they can come up with. Now, researchers have developed a new tool that uses machine learning to predict chemical reactions long before reagents hit the test tube.

Scientists found that AP2-G is the master switch in the parasite that controls a pattern of gene expression essential for the parasite to successfully infect mosquitoes. These findings highlight a potential new target for approaches that, with further research and investigation, may unlock a new potential way to prevent the spread of this devastating disease.

Researchers hope that they may have solved a big problem plaguing gene therapy: the prospect of an autoimmune attack.

A newly-developed computational framework for drug discovery has been used to identify a therapeutic target for epilepsy.

Grouping four or five existing medications could help slow antibiotic-resistant bacteria.

Scientists have developed a way to see brain cells talk – to actually see neurons communicate in bright, vivid color. The new lab technique is set to provide long-needed answers about the brain and neurological diseases such as Alzheimer’s disease, schizophrenia and depression.

The results of the study could help reduce malaria-associated mortality.

Results from a clinical trial of more than 250 participants with progressive multiple sclerosis (MS) revealed that ibudilast was better than a placebo in slowing down brain shrinkage.

Emerging concepts may contribute to a multidisciplinary approach for diagnosis, risk prediction and treatment of NAFLD.