Tag: Computer Modeling

A new mathematical model describes how highly concentrated antibody solutions separate into different phases, similar to an oil and water mixture. This separation can reduce the stability and shelf-life of some drugs that use monoclonal antibodies, including some used to treat autoimmune diseases and cancer. A team of scientists from Penn State and MedImmune, LLC

Social media data can provide a population-level view of physical activity, from bowling to Crossfit, and inform future efforts to tackle health disparities. A new study led by Boston University School of Public Health (BUSPH) researchers and published in BMJ Open Sport & Exercise Medicine used machine learning to find and comb through exercise-related tweets

Estimating tweet infectivity from the first 50 retweets is the key to predicting whether a tweet will go viral, according to a new study published in PLOS ONE on April 17, 2019 by Li Weihua from Beihang University, China and colleagues. As online social networks and media continue to grow, so has the importance of

Around the country, women physician researchers make 7 to 8 percent less per year than men. At the Johns Hopkins University School of Medicine, efforts to eliminate such a gender disparity have cut the difference in salaries from 2.6 percent in 2005 to a statistically insignificant 1.9 percent in 2016. But even with that improvement

Researchers from North Carolina State University have created the largest publicly available virtual library of macrolide scaffolds. The library — called V1M — contains chemical structures and computed properties for 1 million macrolide scaffolds with potential for use as antibiotics or cancer drugs. “As chemists, we’re only able to look at a tiny portion of

Contrary to popular belief, the brain is not a computer. However brains do, in their own way, compute. They integrate informational inputs to generate outputs, including behaviors, thoughts, and feelings. To process vast amounts of data, the brain uses a kind of digital code. Its cells produce discrete bursts of electric current, known as action

Researchers at the University of Waterloo have made progress towards predicting who is likely to feel sick from virtual reality technology. In a recent study, the researchers found they could predict whether an individual will experience cybersickness (motion sickness caused by virtual reality) by how much they sway in response to a moving visual field.

A model developed using artificial intelligence (AI) is better at predicting risk of death in patients with heart disease than models designed by medical experts, a new study from the Francis Crick Institute shows. The study, published in PLOS One, adds to the growing evidence that AI could revolutionise healthcare in the UK and beyond.

Cancer patients are commonly treated with the maximum dose they are able to withstand that does not cause too many toxic side effects. However, many patients become resistant to these treatments and develop cancer recurrence. Researchers at Moffitt Cancer Center are using mathematical modeling based on evolutionary principles to show that adaptive drug treatments based