News

Elementary cytoskeleton protein differs in parasites and represents a possible new anti-malaria therapy approach

Predicting genes that can cause disease due to the production of truncated or altered proteins that take on a new or different function, rather than those that lose their function, is now possible thanks to an international team of researchers that has developed a new analytical tool to effectively and efficiently predict such candidate genes.

Researchers have shown that it is possible to train artificial neural networks directly on an optical chip. The significant breakthrough demonstrates that an optical circuit can perform a critical function of an electronics-based artificial neural network and could lead to less expensive, faster and more energy efficient ways to perform complex tasks such as speech or image recognition.

Researchers in Germany discover a potential new target for treating Parkinson's disease

Scientists have uncovered a potential therapeutic target for kidney cancers that have a common genetic change. Scientists have known this genetic change can lead to an overabundance of blood vessels, which help feed nutrients to the tumors. Their latest finding shows a potential new cancer-driving pathway.

Scientists have developed a new method to enable miniature drug-filled nanocarriers to dock on to immune cells, which in turn attack tumors. In the future, this may lead to targeted treatment that can largely eliminate damage to healthy tissue.

Computer scientists examine how a doctor’s “gut feeling” influences how many tests they order for patients

A key signaling protein, known as heme-regulated inhibitor (HRI), has been identified as a potential therapeutic target for the development of drugs to treat sickle cell disease, using a CRISPR screening approach.

MeiraGTx Holdings plc raised $75 million of gross proceeds upon close of the company’s initial public offering (IPO).

An international team led by computational biologist Fran Supek at IRB Barcelona develop a machine learning method to predict unknown gene functions of microbes.The system examines and compares ‘big data’ available on the metagenomes of human and environmental microbiomes.