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.
Scientists at University of California San Diego School of Medicine have developed an artificial intelligence (AI)-based strategy for discovering high-affinity antibody drugs.
The journal, Artificial Intelligence in the Life Sciences (AILSCI), published by Elsevier, is set to release a special Themed Article Collection (TAC): Women in AI in the Life Sciences.
Scientists have developed an AI system that can produce artificial enzymes from scratch. Even though several of these enzymes’ artificially generated amino acid sequences differed noticeably from those of any known natural protein, they nonetheless performed as well in laboratory testing as those found in nature.
The first simple production of customizable proteins known as zinc fingers to treat diseases by turning genes on and off might be enabled with the help of an artificial intelligence (AI) program.
Argonne scientists awarded funding for bioimaging project to study communication between plants and microbial symbionts.
Researchers at Chalmers University of Technology in Sweden have developed synthetic DNA that uses artificial intelligence to control the production of proteins in cells.
How can Canada maximize the benefits of human genomic sequencing to deepen knowledge of disease? For researchers and decision-makers in this expanding field, new guidance published in CMAJ (Canadian Medical Association Journal) establishes the essential components for obtaining patient consent.
Bringing together concepts from electrical engineering and bioengineering tools, Technion and MIT scientists collaborated to produce cells engineered to compute sophisticated functions – "biocomputers" of sorts.
You can't expect a pharmaceutical scientist to switch labs to the facilities available in a television studio and expect the same research output.
After analyzing data from a public repository, CD4-T, CD8-T cells, and Treg cells, a team of researchers led by bioinformatics Mabel Vidal from the University of Concepcion and working with researchers from MELISA Institute and other academic institutions discovered a distinctive genetic signature among subsets of infiltrating T cells of various types of cancer.
For the first time, scientists can now watch the lives of microplankton at the individual level utilizing holograms produced in digital microscopes and processed by artificial intelligence (AI).
If text-based artificial intelligence image generator like Craiyon or DALL-E has ever been used, it would lead to the knowledge of lifelike, yet entirely, synthetic visuals that AI tools produce.
The method correctly categorizes macrophage states, which is crucial since these cells can alter their behavior and function as either pro- or anti-inflammatory agents during an immune response.
Rutgers researchers are seeking to develop the technology to modify or "edit" protein molecules in the body-;an advance that could spur major breakthroughs in human health.
Machine learning has completely changed protein structure prediction over the past two years. A comparable revolution in protein design is now described in three studies published in Science.
Consider a PhD candidate with a fluorescence microscope and a live bacterial sample. How might these resources be used in the most effective way to get specific observations of bacterial division from the sample?
Mount Sinai Health System and the Icahn School of Medicine at Mount Sinai have launched a new human genome sequencing research project called the Mount Sinai Million Health Discoveries Program with the Regeneron Genetics Center (RGC), part of the industry-leading, New York-based biotechnology company Regeneron.
According to two recent research published in Nature Genetics, recently created artificial intelligence (AI) tools effectively identified the function of DNA’s regulatory regions and three-dimensional (3D) structure based only on its raw sequence.
Customized protein design is now possible, thanks to artificial intelligence (AI), which can be used to address both medicinal and environmental issues. Now, a computer-based natural language processing model has been effectively used for protein research by a team at the University of Bayreuth under the direction of Prof. Dr Birte Höcker.
A sustainable chemical separation method that uses membranes, microalgae and artificial intelligence has been developed by a team drawn from different KAUST groups whose members have diverse specialties in bioengineering, membranes and water reuse and recycling.