The approach collects multiple types of imaging and sequencing data from the same cells, leading to new insights into mouse liver biology.
A new tool—seen as the Google Earth for genomics—will transform how scientists visualize and analyze genomic data, advancing cancer research techniques.
STENTiT has implanted its Resorbable Fibrillated Scaffold in the first patient enrolled in the VITAL-IT 1 study evaluating the device for chronic limb-threatening ischemia (CLTI) below the knee.
A research team led by the University of the Basque Country has identified hundreds of molecular markers in saliva that could reveal the risk of a person developing major diseases such as cancer, cardiovascular diseases, diabetes and neurodegenerative diseases. Their results, published in npj Genomic Medicine, lay the foundation for the development of a powerful, non-invasive tool for early diagnosis and precision medicine.
Researchers have developed a gene therapy that significantly slowed motor function loss in preclinical models of amyotrophic lateral sclerosis (ALS), offering new hope for treating the devastating neurodegenerative disease.
Scientists from the A*STAR Genome Institute of Singapore (A*STAR GIS) have developed a new artificial intelligence (AI)-based method called “Fragle” that makes tracking cancer easier and faster using blood tests.
SARASOTA, Fla. and HUNTSVILLE, Ala., June 11, 2025 /PRNewswire/ — World Precision Instruments (WPI), a global leader in transepithelial electrical resistance (TEER) instrumentation, and SynVivo Inc., a pioneer in Organ-on-a-Chip (OOC) technology, today announced the commercial launch of a next-generation multiplexed TEER-on-a-Chip platform—a breakthrough solution enabling real-time, high-throughput measurement of barrier integrity in advanced Organ-on-a-Chip models.
Mapping a human cell gives researchers a view of subcellular architecture and sheds light on how cancer develops.
Researchers redesign a compact RNA-guided enzyme from bacteria, making it an efficient editor of human DNA.
Researchers at McGill University and other institutes recently carried out a study aimed at identifying biomarkers and psychosocial factors associated with the development of chronic pain conditions. Their findings, published in Nature Human Behavior, were obtained by analyzing data from a large biomedical database, namely the UK Biobank, using advanced machine learning techniques.