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University of Cincinnati


UC study uncovers unexpected link between police spending, housing prices

A University of Cincinnati study found large, opposite moves in housing prices between low-income and high-income communities when analyzing police budgeting. Low-income areas saw a 13% increase in housing prices after increasing police spending, while high-income areas saw a 14% decrease.

SourceUniversity of Cincinnati·JournalThe Journal of Real Estate Finance and Economics·TypeData/statistical analysis·DateApr 28, 2025

UC tracks 'evolving' opioid epidemic across U.S.

The US opioid epidemic has shifted its epicenter from the Northwest to the East, with a significant increase in fentanyl-related deaths. The study found that populations affected by substance use disorder have changed over time, with Black communities now disproportionately affected.

SourceUniversity of Cincinnati·JournalThe Lancet Regional Health - Americas·TypeData/statistical analysis·DateApr 10, 2025

Prehistoric rhinos lived in super-herds

Researchers studying ancient rhino teeth found at Nebraska's Ashfall Fossil Beds State Historical Park discovered that prehistoric rhinos lived in large herds. The animals' limited mobility suggests they didn't respond to the volcanic eruption or migrate seasonally, instead likely dying from prolonged exposure to ash and lack of food.

SourceUniversity of Cincinnati·JournalScientific Reports·TypeExperimental study·DateApr 9, 2025

Study: Platform-predicted treatments improve outcomes for platinum-resistant ovarian cancer

A Phase 3 trial found that ChemoID improves objective response rates, median progression-free survival, and duration of response in patients with recurrent platinum-resistant ovarian cancer. The test identifies effective treatments by challenging cancer stem cells against specific anticancer drugs.

SourceUniversity of Cincinnati·Journalnpj Precision Oncology·TypeRandomized controlled/clinical trial·DateApr 4, 2025

Machine learning aids in detection of ‘brain tsunamis,' University of Cincinnati study finds

A University of Cincinnati study found that machine learning models can aid clinicians in treating patients with spreading depolarizations (SDs), a condition that can cause significant brain damage. The algorithm was able to identify SD events with high sensitivity and specificity, detecting many events not identified by human scoring.

SourceUniversity of Cincinnati·JournalScientific Reports·DateMar 19, 2025

White blood cells use brute force to dislodge bacteria

A recent study in Nature Communications reveals that white blood cells employ a novel mechanism to dislodge bacteria from human tissues using brute force and integrin-based adhesion rings. The research, led by Xuefeng Wang, has significant implications for understanding the role of macrophages in cleaning up environmental pollutants.

SourceUniversity of Cincinnati·JournalNature Communications·TypeExperimental study·DateMar 4, 2025

Researchers see breakthrough with biofuel

Researchers from UC and Oak Ridge National Laboratory have made a breakthrough in understanding how alcohol damages microbes that produce it. The study reveals the primary location of toxicity is in the cell membrane, which can be stabilized to increase efficiency in biofuel production.

SourceUniversity of Cincinnati·JournalLangmuir·TypeExperimental study·DateMar 4, 2025

University of Cincinnati researcher uses AI to reimagine telehealth billing

A new approach using artificial intelligence and electronic health records is being developed to create a fairer, more effective billing model for telehealth services. The current time-based billing model undervalues experienced doctors' expertise and time, leading to inequities in compensation.

SourceUniversity of Cincinnati·JournalJournal of the American Medical Informatics Association·TypeSystematic review·DateFeb 3, 2025

University of Cincinnati Cancer Center study identifies potential new target to overcome breast cancer resistance

A University of Cincinnati Cancer Center study identifies microRNA miR-205 as a promising new target to overcome breast cancer treatment resistance and improve outcomes. The research found that boosting levels of miR-205 could block the production of MED1, a protein responsible for treatment resistance, and improve treatment outcomes.

SourceUniversity of Cincinnati·JournalCancers·DateJan 7, 2025

University of Cincinnati study examines delivery timing in mothers with chronic hypertension

Researchers found that delivering at 39 weeks provides the optimal balance between stillbirth risk and infant health issues, making it an ideal time frame for safest births. The study used a large-scale data set to provide evidence-driven recommendations for delivery timing among women with chronic hypertension.

SourceUniversity of Cincinnati·JournalO&G Open·TypeData/statistical analysis·DateDec 19, 2024

University of Cincinnati study show the effectiveness of a portable EKG patch

A new wireless EKG patch developed by MG Medical Products has been shown to be as accurate as traditional EKG machines in a recent University of Cincinnati study. The patch eliminates electrode misplacement errors and reduces hospital readmission rates, particularly in skilled nursing facilities and correctional institutions.

SourceUniversity of Cincinnati·JournalClinical Research in Cardiology·TypeObservational study·DateNov 12, 2024

Common consumer product chemicals now tied to cardiac electrical changes

An interdisciplinary study found associations between exposure to environmental phenols like BPA and triclocarban and altered cardiac electrical activity, particularly in women with higher body mass indexes. Researchers identified moderate changes to cardiac electrical activity that could exacerbate existing heart disease or arrhythmias.

SourceUniversity of Cincinnati·JournalEnvironmental Health·TypeData/statistical analysis·DateOct 3, 2024

Study combines data, molecular simulations to accelerate drug discovery

Researchers have developed a new method to increase speed and success rates in drug discovery by combining data from the Library of Integrated Network-based Cellular Signatures with targeted docking simulations. This approach can accelerate the drug research process, identifying potentially effective compounds more efficiently.

SourceUniversity of Cincinnati·JournalScience Advances·TypeComputational simulation/modeling·DateAug 30, 2024