Researchers are developing a user-friendly method to reconstruct and analyze SSU rRNA from raw metagenome data. First the background: Microbiologists traditionally determine which organisms they are dealing with using the small subunit ribosomal RNA or in short SSU rRNA gene. This marker gene allows to identify almost any living creature, be it a bacterium or…

Artificial intelligence could be one of the keys for limiting the spread of infection in future pandemics. In a new study, researchers have investigated how machine learning can be used to find effective testing methods during epidemic outbreaks, thereby helping to better control the outbreaks. In the study, the researchers developed a method to improve…

Researchers have found that a machine learning algorithm can predict the location of actin-associated proteins in lamellipodia and other subcellular structures based solely on the location of actin itself. This approach could be useful for rapid analysis of microscopy images, and potentially as a substitute for using fluorescent stains to detect proteins within cells. In…

Deep learning, a type of artificial intelligence, can boost the power of MRI in predicting attention deficit hyperactivity disorder (ADHD), according to a new study. Researchers said the approach could also have applications for other neurological conditions. The human brain is a complex set of networks. Advances in functional MRI, a type of imaging that…

A new computational model suggests that certain mutations that block infection by the most dangerous species of malaria have not become widespread in people because of the parasite’s effects on the immune system. Malaria is a potentially lethal, mosquito-borne disease caused by parasites of the Plasmodium genus. Several protective adaptations to malaria have spread widely…

A new technology is aimed at modernizing the optical digital storage technology. This advancement allows for more data to be stored and for that data to be read at a quicker rate. Rather than using the traditional dots and dashes as commonly used in these technologies, the innovators encode information in the angular position of…

Currently, there is little research focused on understanding mechanisms and drug discovery of lymphatic vascular diseases. However, conditions such as lymphedema, a buildup of fluid in the body when the lymph system is damaged, impact more than 200,000 people every year in the United States alone. Dr. Abhishek Jain, assistant professor in the Department of…

Researchers develop tool that ‘audits’ the results of studies that examine interplay between variables. Using this approach, researchers identify inconsistent findings in one-third of previous association studies of gut microbiome and disease. The software can help researchers check the reliability of their own findings before submitting them for publication. Association studies are critical in paving…

Researchers have developed a chip that is powered wirelessly and can be surgically implanted to read neural signals and stimulate the brain with both light and electrical current. The technology has been demonstrated successfully in rats and is designed for use as a research tool. «Our goal was to create a research tool that can…

Analyzing breast-cancer tumors with artificial intelligence has the potential to improve healthcare efficiency and outcomes, but doctors should proceed cautiously, according to a new editorial. That’s according to a new editorial in JAMA Health Forum co-written by Joann G. Elmore, MD, MPH, a researcher at the UCLA Jonsson Comprehensive Cancer Center, the Rosalinde and Arthur…