Now, research published in ACS Central Science could help health care professionals non-invasively diagnose bacterial infections, using breath-based tests.
A new X-ray imaging technique could transform how hospitals analyze tissue samples, potentially speeding up diagnoses and improving outcomes for patients, shows a new study led by UCL researchers. The technology, developed in collaboration with the Memorial Sloan Kettering Cancer Center, Rigaku Americas and Creatv MicroTech, Inc., produces crisp 3D maps of biological tissue without cutting or staining samples, a significant improvement on the conventional process used in histopathology—the process of examining tissue to study, diagnose and treat diseases, particularly cancer.
Duke Health researchers show that a quick, outpatient nasal swab can pick up early biological changes linked to Alzheimer’s, even before thinking and memory problems appear.
Now, scientists at UC San Francisco have developed a method to precisely reprogram these cancer-fighting cells directly inside the body, potentially eliminating the manufacturing process, cost, and waiting time that has kept this life-saving therapy out of reach for many patients around the world.
Study finds immune cells in glioblastoma use fructose to evade immune response, pointing to a new treatment target
Researchers have unlocked the possibility of creating smart wound dressings that enable real-time monitoring while also being able to deliver healing agents in one simple, scalable platform.
Every year, millions of people are diagnosed with cancer globally; however, current treatments are limited by disease complexity. A study published in the open-access journal in PLOS Biology by Tianyu Jiang at Shandong University, Qingdao, China and colleagues suggests that Escherichia coli Nissle 1917 (EcN) may be engineered with anticancer agents to treat cancerous tumors in mice.
An international research team led by the Levenberg Laboratory in the Faculty of Biomedical Engineering at the Technion-Israel Institute of Technology has succeeded in developing a first-of-its-kind, three-dimensional implant that combines muscle and fat tissues, a lymphatic network, and a hierarchical blood vessel network.
A new study, published in Nature, outlines a method combining smartwatches and routine blood tests to better detect insulin resistance in its early stages, and its early validation testing has shown good accuracy.
An innovative platform developed by PKU researchers called “cf-EpiTracing” has proved capable of detecting and tracing diseases from as little as 50 μl of human plasma, or roughly a drop of blood. The research, published in Nature on March 4, 2026, was led by Professor He Aibin from the College of Future Technology and Professor Jing Hongmei from the Department of Hematology, PKU Third Hospital.