Scientists recreate enterovirus infection in a new model of the human intestine

A miniaturized, biomimetic model of the human intestine has successfully reproduced long-term enterovirus A71 (EV-A71) infection, report researchers from Science Tokyo. Using this innovative platform, they shed light on how this virus grows in the intestine without triggering a strong immune response. Their findings, appearing in the Journal of Virology, could help develop effective treatments for EV-A71 infectious diseases.

AI model enables more than a million-fold acceleration of diffuse optical tomography for real-time diagnosis

Researchers at University of Tsukuba have developed an AI model capable of predicting light propagation in biological tissue in diffuse optical tomography, a noninvasive imaging technique for detecting abnormalities such as hemorrhages and tumors. The model performs these calculations in approximately 2 milliseconds, exceeding the speed of conventional simulation methods by more than 1 million times, paving the way for real-time diagnostic applications. The paper is published in Biomedical Engineering Letters.

A new scheduling tool could help hospitals reduce surgical wait times

A Concordia-led research team has developed a planning tool that could help hospitals book their operating rooms more efficiently, shorten wait times and better cope with last‑minute emergencies. The researchers developed their model using artificial intelligence tools to plan which operating rooms to open on each day, when each surgery should start and which cases may need to be delayed, all in a single, integrated framework. Their model uses far fewer variables than a widely used previous approach, making it faster and more practical for real hospital conditions, especially when dealing with dozens or even hundreds of operations in a week.

Risk threshold for kidney disease confirmed by more accurate measurement

The thresholds for kidney function currently used to diagnose chronic kidney disease (CKD) reflect a true increase in the risk of serious illness, according to a study from Karolinska Institutet and Leiden University Medical Center published in JAMA. The researchers also show that risk assessment becomes more accurate when two common blood tests, creatinine and cystatin C, are combined to estimate kidney function.