Artificial intelligence, or AI, is an umbrella term for machine learning and deep learning. It is where a machine takes in information from its surroundings and, from that, makes the most optimal decision appropriate to the situation.
Computer systems that emulate key aspects of human problem solving are commonly referred to as AI. This field has seen massive progress over the last years.
Studies on cellular dynamics are vital to interpret the development of cells and the progression of various diseases.
Artificial intelligence can increase the effectiveness of drug repositioning or repurposing research, according to a study published in Translational Psychiatry.
Marcel Leist, Professor of In-Vitro Toxicology and Biomedicine at the University of Konstanz, and Thomas Hartung, Professor of Environmental Health Sciences at the University of Konstanz and Doerenkamp-Zbinden Chair of Evidence-Based Toxicology at Johns Hopkins Bloomberg School of Public Health in Baltimore, have been awarded the Ursula M. Händel Animal Welfare Prize 2020 of the German Research Foundation.
Researchers at the University of Chicago Medicine Comprehensive Cancer Center, working with colleagues in Europe, created a deep learning algorithm that can infer molecular alterations directly from routine histology images across multiple common tumor types.
Researchers at EMBL's European Bioinformatics Institute, the Wellcome Sanger Institute, Addenbrooke's Hospital in Cambridge, UK, and collaborators have developed an artificial intelligence algorithm that uses computer vision to analyse tissue samples from cancer patients.
Proteins are known to perform complex tasks and catalyze chemical reactions, making them crucial for cell survival.
A team of researchers showed that artificial intelligence (AI) could help predict the type of bacteria that caused the infection in patients with pneumonia.
Cancer diagnosis requires a lengthy process of multiple analyses of tissue biopsies, impeding the quick and early detection of cancers.
Especially activities in the field of artificial intelligence, like teaching robots to walk or precise automatic image recognition, demand ever more powerful, yet at the same time more economical computer chips.
In a recent study of genes involved in brain functioning, their previously unknown features have been uncovered by bioinformaticians from the Moscow Institute of Physics and Technology and the Institute of Mathematical Problems of Biology, RAS. The findings are reported in PLOS One.
AZoLifeSciences speaks to agricultural scientists about their research into cover crops, and how this can help sustainable farming practices.
Researchers have created novel image processing techniques for microscopes that can decrease the time for post-processing by up to several thousand-fold.
An MRI scan used for heart disease could help assess whether children's cancers are especially aggressive and spot early signs that treatments are working.
The University of Kentucky announced a research collaboration with Atomwise, an industry leader in using artificial intelligence (AI) for small molecule discovery, to explore potential COVID-19 therapies.
A molecular biologist is working with a world leader in artificial intelligence-based drug discovery to help find a molecule that could prevent SARS-CoV-2.
Forensic Genomics, a dynamic new peer-reviewed journal, will launch its preview issue at the annual International Symposium on Human Identification (ISHI) in September 2020.
Excess white fat causes obesity, which in turn can drive metabolic diseases that are growing at epidemic rates around the world.
A global race is underway to discover a vaccine, drug, or combination of treatments that can disrupt the SARS-CoV-2 virus, which causes the COVID-19 disease, and prevent widespread deaths.
Scientists have developed a technique that could significantly reduce the time of discovering potential new antibody-based drugs to treat disease.