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Researchers are discovering how complications with brain prediction can lead to changes in sensory perception and learning impairments, both of which are common symptoms of autism.

Researchers have developed a method for completing whole-genome sequencing to determine Salmonella serotypes in just two hours and the whole identification process within eight hours.

Several studies in recent years have reported that low-calorie sweeteners in foods and beverages disrupt the human metabolism, promoting the development of diabetes and obesity. A new study by Yale researchers may help reconcile these conflicting findings.

Chlamydia, a pathogenic type of bacteria, has to penetrate human cells to multiply. Researchers have now identified the SemC bacterial protein, which is introduced into the cell and restructures the cell membrane at the point of entry to allow access.

Eating more protein from plant or dairy sources while reducing red meat consumption could help people live longer, according to two preliminary studies.

Researchers have identified a promising new drug combination that could significantly help the immune system target cancer cells and kill them.

Researchers have developed a new technology called μMap that identifies proteins' nearest neighbors on cell surfaces. This approach could be used to target proteins involved in cancer and guide the development of new cancer drugs.

Chemotherapy halves the risk of a rare form of kidney cancer returning after surgery, according to the largest ever trial conducted in the disease worldwide.

When we open our eyes, we immediately see our surroundings in great detail. How the brain is able to form these richly detailed representations of the world so quickly is one of the biggest unsolved puzzles in the study of vision. Now, a computer model that captures the human visual system's ability to quickly generate a detailed scene description from an image has been developed.

Complex networks are ubiquitous in the real world, from artificial to purely natural ones, and they exhibit very similar geometric properties. Algorithms based on quantum mechanics perform well on such networks, but their relationship with the geometrical characteristics of networks has remained unclear until now. Researchers have now shed light on these relationships, opening up new possibilities for the use of complex networks in various fields.