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Data scientists have created an artificial intelligence model that could predict which existing medicines, not currently classified as harmful, may lead to congenital disabilities.

Technology Networks interviewed renowned scientist Dr. Feng Zhang to learn about his recent Nature publication outlining the discovery of "Fanzor", an RNA-guided system in eukaryotes.

Monitoring dairy calves with precision technologies based on the “internet of things,” or IoT, leads to the earlier diagnosis of calf-killing bovine respiratory disease, according to a new study.

Artificial intelligence is becoming increasingly important in drug discovery. Advances in the use of Big Data, learning algorithms and powerful computers have now enabled researchers to better understand a serious metabolic disease.

Scientists have found blocks of chromosomes that exist in all moth and butterfly species, and also in aquatic caddisflies that shared a common ancestor with moths and butterflies some 230 million years ago.

Cutting-edge machine-learning tools could provide transformative insights into the hidden lives of animals, with important implications for their conservation.

A new AI tool has been developed to count brain lesions that would otherwise be "tremendously difficult" to quantify, which could help clinicians evaluate brain disease at earlier stages.

According to a groundbreaking study, people who participate in genetic studies are genetically more likely to do so, leaving detectable ‘footprints’ in genetics data.

In a new study published in Nature, scientists from Google Research have introduced a novel benchmark, known as MultiMedQA, for evaluating the ability of large language models (LLMs) to present accurate answers to medical questions.

Artificial intelligence has provided the most accurate estimate yet of the bat population in Kasanka National Park, Zambia, recording the presence of between 750,000 and 1 million bats – the largest colony by biomass anywhere in the world.