News

Researchers develop new machine learning approach that shows promise in predicting Necrotizing enterocolitis; could lead to improved medical decision-making in neonatal ICUs.

Results from cell culture experiments show that commercially available preparations have an effect on Sars-Cov-2 viruses.

Using a new process, scientists can create new nucleoside analogues months earlier than with the previous method, paving the way for quicker drug discoveries.

Researchers have demonstrated that placebos reduce brain markers of emotional distress even when people know they are taking one.

A new analysis of ancient genomes suggests that different branches of the human family tree interbred multiple times, and that some humans carry DNA from an archaic, unknown ancestor.

Scripps Research chemists Hans Renata, PhD, and Alexander Adibekian, PhD, have discovered a way to efficiently create a synthetic version of a valuable natural compound called cepafungin I, which has shown promise as an anti-cancer agent.

A team of researchers have developed an algorithm through machine learning that helps predict sites of DNA methylation – a process that can change the activity of DNA without changing its overall structure – and could identify disease-causing mechanisms that would otherwise be missed by conventional screening methods.

Researchers have developed a new algorithm for solving a common class of problem -- known as linear inverse problems -- by breaking them down into smaller tasks, each of which can be solved in parallel on standard computers.

A new study has uncovered the strategies tumor cells use to evade immune system attack. The method developed for this work contributes to a better understanding of the "arms race" between immune defense and disease.

Chemists have used molecular modeling to identify two existing drugs that could be used to fight SARS-CoV-2. These are disulfiram, which is used to treat alcoholism, and neratinib, an experimental drug being used to treat breast cancer.