News

Can our personality be changed in the short term? Researchers investigated this question using a digital intervention. In their study, around 1,500 participants were provided with a specially developed smartphone app for three months and the researchers then assessed whether and how their personalities had changed.

It is no secret that U.S. politics is polarized. An experiment conducted by MIT researchers now shows just how deeply political partisanship directly influences people's behavior within online social networks.

Machine learning study initiated at the Wyss Institute in collaboration with Google Research enables unprecedented AAV capsid diversification with potential for improving gene therapies.

An electrocardiogram (ECG) is an examination that records the electrical activity of the heart during the cardiac cycle. New advances have shown ways to automate the recording of ECGs.

Dietary information from three large, well-known heart disease studies suggests drinking one or more cups of caffeinated coffee may reduce heart failure risk.

A new study concludes that about half of global wastewater is treated, rather than the previous estimate of 20%. Despite this promising finding, the authors warn that treatment rates in developing countries are still very low.

Researchers have reported a way to train machines to predict the function of DNA sequences. They used "neural nets", a type of artificial intelligence (AI) typically used to classify images. Teaching the neural net to predict the function of short stretches of DNA allowed it to work up to deciphering larger patterns.

Pollen seasons start 20 days earlier, are 10 days longer, and feature 21% more pollen than in 1990 — meaning more days of itchy, sneezy, drippy misery. Researchers found that human-caused climate change played a significant role in pollen season lengthening and a partial role in pollen amount increasing.

A study uses machine learning to mine existing biobanks and generate chunks of human genomes which do not belong to real humans but have the characteristics of real genomes.

A team has exploited the latest advances in RNA technology and machine learning approaches to develop a gene panel test that allows for accurate diagnosis of liposarcomas.