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.
Texas A&M AgriLife Research scientists are using artificial intelligence to set a new world record for producing algae as a reliable, economic source for biofuel that can be used as an alternative fuel source for jet aircraft and other transportation needs.
By combining CRISPR technology with a protein designed with artificial intelligence, it is possible to awaken individual dormant genes by disabling the chemical "off switches" that silence them.
Researchers from Skoltech and Pustovoit All-Russian Research Institute of Oil Crops performed a genetic analysis of Russian sunflower lines and identified genetic markers that can help to predict the composition of tocopherols, one of the key attributes of oil quality.
In partnership with the SLAS 2022 exhibition and conference, we speak to Brian O’Sullivan about artificial intelligence and its future within the life sciences sector.
The zebrafish is an important model organism for studying things like genetic diseases. A regulatory map of its genome has been successfully created using high-throughput experiments and AI methods, a team led by Uwe Ohler now reports in Cell Genomics and Nature Machine Intelligence.
The logic that handles gene regulation in human cells has been discovered by a team of researchers at the University of Helsinki.
The Translational Genomics Research Institute, an affiliate of City of Hope, is partnering with a Silicon Valley firm to become one of the first research institutes in the world to employ a new Artificial Intelligence-powered imaging and sorting technology to classify and isolate individual diseased cells.
A new technique for analyzing proteins has been developed by researchers at Martin Luther University Halle-Wittenberg (MLU) and the European Molecular Biology Laboratory in Hamburg.
In this interview, we speak to Dr. Santiago Miriuka, CEO of MultiplAI Health, about the importance of having diverse genomics data in research.
While neurons and glial cells are by far the most numerous cells in the brain, many other types of cells play important roles. Among those are cerebrovascular cells, which form the blood vessels that deliver oxygen and other nutrients to the brain.
Data is not only the answer to numerous questions in the business world; the same applies to biomedical research. In order to develop new therapies or prevention strategies for diseases, scientists need more and better data, faster and faster.
New technology could help reduce malnutrition and improve overall health in long-term care homes by automatically recording and tracking how much food residents consume.
Researchers predicted that there would be approximately 20,000 protein-coding genes when the human genome sequence was revealed two decades ago.
Two researchers from Skoltech and McGill University have published a review of the promising research field known as structural proteomics in the influential journal Chemical Reviews.
In this interview, we speak to Dr. Sumitra Muralidhar, the Program Director for VA’s Million Veteran Program (MVP) about the program and its aims for veterans.
Skoltech’s iMolecule group has created a solution that employs data on the structure of molecules to detect sites where possible drug candidates could interact.
We speak to Professor Trey Ideker and Yue Qin about their latest in cell biology and how artificial intelligence could be used to discover new components within cells.
To decipher the mysteries behind memory and learning, researchers from Johns Hopkins Medicine developed a system to trace millions of connections amongst brain cells in mice.
According to recent research, the perspective of time and space when applied properly to plant research enhances the knowledge of biological mechanisms.
An innovative new method for more efficient and accurate barcoding of individual cells could help realize faster diagnosis of diseases.