June 16, 2021
Rhonna Shatz, DO, discusses the spike in deaths from Alzheimer's during the pandemic on WVXU's Cincinnati Edition.
August 27, 2021
UC research examining a music app to help breast cancer survivors is mentioned by Forbes.
September 2, 2021
University of Cincinnati researcher Dr. Daniel Woo led a study looking at risk factors that caused disparities among racial/ethnic groups suffering from ICH strokes. The study found high blood pressure and a lack of health insurance significantly contribute to higher rates of ICH in Black and Hispanic patients.
October 6, 2021
UC medical student Rohan Rao received unprecedented grant funding for summer brain tumor research in the lab of Soma Sengupta and Daniel Pomeranz Krummel and participates in a number of other College of Medicine activities in preparation for his goal to work as a clinician scientist.
October 6, 2021
Spectrum News highlights UC pilot study examining the effect that art therapy prompts and pet robots have on patients' well-being.
September 16, 2021
UC researchers are leading a pilot study examining how art therapy delivered through an app and pet robots can affect the mood of patients with hearing loss. The collaborative study seeks to allow patients to take their health into their own hands and increase accessibility of interventions.
February 3, 2022
Scientists using 20 years of research to lessen the impact of brain injury
February 7, 2022
The Journal-News featured the research of Dr. Soma Sengupta, Dr. Claudia Rebola and Dr. Meera Rastogi, who have developed an art therapy app and pet robot study to see how the interventions can affect the mental health of patients with vestibular schwannomas.
June 5, 2023
University of Cincinnati researchers have enrolled the first four patients in a first-of-its-kind trial that will test a treatment for abnormal brain activity sometimes referred to as a “brain tsunami.”
May 1, 2024
Researchers at the University of Cincinnati and Dell Medical School at the University of Texas at Austin are leading a study using state-of-the-art neuroimaging techniques and artificial intelligence to identify changes in the brains among children of adults living with bipolar disorder.