The human pancreas often contains lesions that are common in the population and that, although they can become malignant, usually do not. To understand when this occurs and how these pancreatic cancer precursor lesions, known as pancreatic intraepithelial neoplasias (PanIN), evolve, scientists at the University of Michigan analyzed their gene expression patterns and their cellular microenvironment.

Recent findings are reshaping current understanding of the post-infection landscape of SARS-CoV-2. Although previous studies had already suggested that autoimmunity might underlie the persistent neurological symptoms seen in long COVID, researchers at Yale University and Mount Sinai now reinforce this hypothesis. SARS-CoV-2 infection appears to trigger an autoimmune mechanism that drives chronic pain, fatigue and cognitive impairment in some patients.

With a historic WHO resolution adopted this week giving countries, for the first time, a mandate to address liver disease affecting 1.5 billion people worldwide, this momentum is strongly reflected at the ongoing European Association for the Study of the Liver 2026 congress in Barcelona. The mandate positions liver disease alongside cancer, cardiovascular disease and diabetes as a core global health priority.

Australian researchers have identified a previously overlooked population of immune cells in the skin that physically restrain melanoma growth by engulfing live melanoma cells, and the discovery could reshape thinking around macrophage-targeted cancer therapies and innate immunity in oncology.

WAVES, an algorithm designed to extract menstrual-cycle metrics from physiological signals such as basal body temperature, which oscillates with sex hormones, shows how different parameters change with age and helps determine whether each person maintains a stable individual pattern or personal footprint. A study based on data from 5,674 cycles from 753 women demonstrates through this tool that age is associated with higher temperatures, shorter cycles, and greater irregularity. In addition, several metrics show within-person stability, suggesting they could serve as personalized health markers.

Researchers at UCLA have shown that divergent neuronal signaling in fragile X mice converges on EPAC2, a druggable target whose inhibition restores circuit activity and alleviates core behavioral impairments.

A new strategy aims to improve gene therapy for Pompe disease by optimizing both the genetic component that restores the function of a deficient lysosomal enzyme and the vector that delivers it to the target tissue while avoiding the liver. The findings suggest that combining an optimized transgene with a targeted capsid could significantly enhance the effectiveness of gene therapy for Pompe disease.

There are real world demonstrations of how autonomous artificial intelligence agents are poised to disrupt biomedical research, according to two papers published May 19 in Nature. Each describes an AI system that assists across the piece, from generating hypotheses to designing experiments, analyzing the data and refining hypotheses in the light of new data.

On Sunday, May 17th, 2026, the World Health Organization classified the ongoing Bundibugyo ebolavirus outbreak in the Democratic Republic of Congo (DRC) as a public health emergency of international concern (PHEIC). The rapid escalation to PHEIC is due to several factors. Given the high number of cases, the outbreak has likely been going undetected for some time, and may be a “much larger outbreak than what is currently being detected and reported, with significant local and regional risk of spread,” according to the WHO statement. The outbreak appears to already have crossed the border from the DRC into Uganda at least twice. And all this is happening with a virus for which there are no approved treatments or vaccines.

Directed evolution has become a central pillar in gene therapy. This engineering strategy enables the generation of more efficient variants of genetic editors and delivery vectors. Molecular diversification methods are increasingly sophisticated and are now accelerated by machine learning and AI tools, as showcased at the 29th Annual Meeting of the American Society of Gene and Cell Therapy (ASGCT) held in Boston this week.