BME News

BME News

Autism Spectrum Disorder (ASD) is a “blanket” diagnosis applied to individuals with vastly differing behavioral as well as co-occurring medical conditions.  Using very large medical-record data sets, researchers from Rensselaer Polytechnic Institute (RPI) have found that, not only can children be broken into subgroups based upon those co-occurring conditions, but that those subgroups are also associated with differing maternal prenatal risk factors. The research is published today in the journal Autism Research.

Rensselaer Polytechnic Institute and the Icahn School of Medicine at Mount Sinai today announced the creation of the Center for Engineering and Precision Medicine (CEPM), one of the first centers in the nation to bridge engineering and engineering science with medicine. This undertaking will build on a wealth of shared basic research discoveries, explore unique therapeutic innovations in cancer, Alzheimer’s and a myriad of infectious diseases; educate a new generation of biomedical leaders; and develop new technologies and processes that enhance patient outcomes in unprecedented ways.

Rensselaer Professor Jonathan Dordick and collaborators from Rensselaer Polytechnic Institute and Albany Medical College have been awarded $500,000 from the New York State Biodefense Commercialization Fund to engage in research for the development of a Pentosan Polysulfate (PPS)-based nasal spray to block COVID-19.

People with type 2 diabetes who contract COVID-19 are nearly 50% more likely to wind up in intensive care if they have poorly managed their blood sugar levels over the long-term than those with better long-term glycemic control, according to a study using anonymized health care data.

Like many other cells and organs within the body, cardiac cells possess a type of asymmetry that may play an important role in healthy heart formation and could serve as the basis for interventions to prevent congenital heart defects.

A number of vulnerabilities, known collectively as deep learning adversaries, hold artificial intelligence (AI) back from its full potential in applications like improving medical imaging quality and computer-aided diagnosis.