Article Highlights
Updates every hour. Last Updated: 21-May-2026 14:16 ET (21-May-2026 18:16 GMT/UTC)
A data‐driven sliding‐window pairwise comparative approach for the estimation of transmission fitness of SARS‐CoV‐2 variants and construction of the evolution fitness landscape
Higher Education PressOver the past several years, monitoring the transmission fitness of emerging SARS-CoV-2 variants has been critical for pandemic forecasting and public health response. However, existing methods, such as basic reproductive number estimation or phylogenetic analysis, often face limitations in directly comparing variants that dominate at different times or in quantifying their relative advantages with robustness to sampling biases. Thus, developing a data-driven, comparative framework to estimate relative variant fitness and visualize evolutionary trends across time and geography is of paramount importance.
- Journal
- Quantitative Biology
Graph transformer model advances disease comorbidity prediction with subgraph-aware encoding
Higher Education PressComorbidity—the co-occurrence of multiple diseases in a patient—complicates diagnosis, treatment, and prognosis. Understanding how diseases connect at a molecular level is crucial, especially in aging populations and complex conditions like COVID-19, where comorbidities worsen outcomes. While network medicine has used the human interactome—a map of protein-protein interactions—to study these links, accurately predicting comorbid pairs remains challenging.
- Journal
- Quantitative Biology
Antibiotic resistance in Helicobacter pylori in the Asia-Pacific region: A call for coordinated regional strategies
Osaka Metropolitan University- Journal
- Journal of Gastroenterology and Hepatology
Machine learning prediction of long-term sickness absence due to mental disorders using Brief Job Stress Questionnaire data
Osaka Metropolitan University- Journal
- Scientific Reports
Dance away cognitive decline
Kyoto UniversityKyoto, Japan -- Whether you practice ballet or prefer the tango, the benefits of dancing are self-evident. It's good exercise both physically and mentally due to the complexity of the movements, and it's also a fun social activity. But the benefits of dancing may extend beyond this: the mental activity and social interaction involved in dancing may also help prevent cognitive decline.
Previous research indicates that dance practice can improve the cognitive test scores of older adults with mild cognitive impairment, or MCI, an intermediate state of cognitive decline between normal aging and dementia. This inspired a team of researchers from Kyoto University to extend this research to older adults in an earlier stage of cognitive decline called subjective cognitive decline, or SCD. This refers to an individual's self-reported worsening memory or increased confusion that cannot yet be verified by tests.
"We focused on SCD because earlier intervention is more important from the viewpoint of dementia prevention," says first author Masatoshi Yamashita.
- Journal
- Innovation in Aging
- Funder
- Japan Society for the Promotion of Science
Sharing info lowers hospital mortality rates
University of Texas at Austin- Journal
- npj Health Systems
Hanyang University ERICA researchers identify key mechanism driving progression of fatty liver disease to cancer
Industrial Cooperation & research Planning team, Hanyang University ERICAEndoplasmic reticulum (ER) stress and the unfolded protein response are often implicated in the progression of metabolic dysfunction-associated steatotic liver disease (MASLD), from simple steatosis to inflammation-driven metabolic dysfunction-associated steatohepatitis and, ultimately, hepatocellular carcinoma. A new review paper from Hanyang University ERICA sheds light on the mechanisms underlying these processes, advocating for precise hepatic ER stress control to maintain normal hepatocyte function and develop therapeutic strategies against MASLD.
- Journal
- Pharmacological Reviews
HKU engineering research team develops new framework to track antimicrobial resistance across human, animal, and environmental sectors
The University of Hong Kong- Journal
- Nature Water