In this study, we revealed the pulmonary pathogen profiles of immunosuppressed ICU patients based on CD4⁺T-cell counts: the severe group showed a predominance of fungal/rare infections, whereas in the moderate group, bacterial infections were prevalent, often involving oral commensals. These findings underscore the potential of immune-status stratification to guide more precise empirical antimicrobial therapy. Future large-scale, multicenter studies are warranted to validate these associations and their impact on clinical outcomes.

Researchers from the Biomedical Data Science Laboratory (BDSLab) at the ITACA Institute of the Universitat Politècnica de València have developed a new method based on magnetic resonance imaging that enables objective quantification of the growth of the most aggressive brain tumours, particularly glioblastoma.

The study, published in the scientific journal Medical Physics, addresses one of the main clinical challenges in the diagnosis and treatment of this tumour: its high capacity to infiltrate healthy brain tissue.

In their work, the UPV's BDSLab team presents a new biomarker, the Dynamic Infiltration Rate (DIR), capable of identifying different patterns of tumour growth and independently predicting patient survival.

Some pathogens use temperature as a trigger and activate virulence only after entering the warmer environment of a host. A research team from Ruhr University Bochum, Germany, and the University of Münster, Germany, investigated how a diarrheal pathogen suppresses its virulence outside of the human body. Their study focused on the DNA-binding protein Fis, which is more abundant at cooler ambient temperatures of around 25°C. Under these conditions, Fis represses the expression of virulence genes. When Fis is absent, a cascade of virulence genes is induced, and bacteria that are normally harmless at this temperature become lethal to poikilothermic moth larvae. The findings were published online in PLoS Pathogens on March 25, 2026.

Researchers at Tohoku University have imagined a future where you can assess eye health at a local supermarket, train station, or in remote regions without hospital access using a portable, inexpensive eye scanner.

In the field of mental health research, accurately detecting depression is crucial. However, when handling multimodal long-temporal data, two major challenges emerge: 1) Redundancy exists in long-temporal data feature extraction, and key feature extraction is unclear. 2) Existing multimodal data feature fusion methods are disrupted by inferior modality.

To better understand the fine-scale ancestry of Peruvians, researchers from the University of Maryland School of Medicine (UMSOM), along with colleagues from the Peru Institute of National Health (Instituto Nacional de Salud), undertook the largest study to date to examine the genetic makeup of individuals from urban areas throughout Peru.