Diagnostics

Sonobiopsies generate genetic, molecular data to inform treatment decisions for brain diseases

The National Institutes of Health (NIH) is channeling $50.3 million over the next five years into a new consortium dedicated to advancing the generation and analysis of multi-omics data for human health research. As part of this team, Washington University in St. Louis is establishing and will lead a central production center that functions as a hub for multi-omics analyses for materials from consortium members at each of six disease study sites identified by the NIH.

Proof-of-concept device could also monitor for flu, RSV, other respiratory viruses

A WashU-based life sciences startup that patented a groundbreaking bloodstream marker that flags potential cardiovascular disease recently won a $250,000 investment prize in a major national pitch competition.

Wearable brain-imaging tech aims to reveal how the brain works in natural, realistic situations. Washington University faculty members Joseph P. Culver, Jason Trobaugh and Ed Richter, along with Adam Eggebrecht, have received a grant from the NIH to develop and commercialize a brain-imaging cap that uses LED light to gauge brain activity.

Researchers at Washington University School of Medicine in St. Louis have developed new imaging technology that can produce 3D maps showing the magnitude and distribution of uterine contractions in real time and across the entire surface of the uterus during labor.

Christine O’Brien, an assistant professor of biomedical engineering at the McKelvey School of Engineering at Washington University in St. Louis, and her team have received a $20,000 prize from the National Institutes of Health (NIH)’s Rapid Acceleration of Diagnostics Technology for Maternal Health Challenge.

The search for effective treatments has been hampered because these highly structured cells cannot be cultured outside of the body, and because immortalized cell lines are not true to their structure. New research from Washington University’s McKelvey School of Engineering and the School of Medicine aims to overcome this critical barrier.

Mission is to use proprietary state-of-the-art SCIslet differentiation technology to make stem cell-derived islets accessible to diabetes researchers

Aims to diagnose autism early using machine learning to identify brain patterns