UM-IHC Researchers Identify Brain Signals Linked to Cybersickness in Immersive Environments
Findings from a real-time brain wave study could help virtual and augmented reality designers detect and reduce dizziness, nausea and other symptoms.
Scientists Discover Migration-Mediated Mechanism Enabling Bacteria-Virus Coexistence
A joint UMD-University of Exeter study shows how collective movement enables viruses to persist with migrating bacterial colonies while minimizing the risk of either complete viral takeover or bacterial escape.
Second XRx Healthcare Summit Workshop Held at UM-IHC
The XR Association joined UM-IHC faculty members and other stakeholders to discuss barriers to and solutions for scaling extended reality tools in clinical settings.
UM-IHC Chemist Pratyush Tiwary Joins Team to Predict and Intervene in Harmful Protein Changes Before Disease Begins
ARPA-H consortium led by Georgetown and the Buck Institute awarded up to $51.7 million to study misfolding proteins implicated in neurodegenerative diseases and cancer.
UM-IHC Computer Scientist Heng Huang Receives Funding to Develop Wearable AI Vitals-Monitoring Device and AI-Enabled Medical Imaging Test Bed
The projects aim to predict hospital readmissions in high-risk heart failure patients and establish reliable methods for evaluating the safety and performance of AI-enabled medical imaging systems.
GLP-1s Are Beneficial for Many, but Not for All, Says UM-IHC Diabetes Researcher
As the popularity of GLP-1-based drugs soars for weight loss, Rozalina McCoy discusses the medications’ most effective uses, how they differ from related SGLT-2s, and the need to balance their potential risks and rewards.
Study Foresees Heightened Measles Epidemic Risk for Florida
UMD mathematicians predict the dramatic impact of a proposal to repeal Florida’s measles vaccine mandate.
Building Better AI for Chemistry
A U.S. National Science Foundation workshop hosted by the University of Maryland began charting a roadmap for developing chemistry-specific artificial intelligence tools to advance scientific research and discovery.
New Clinical Tool Helps Predict Short-term Risk of Diabetes Complications Using Routine Health Data
Researchers have developed and validated a new risk calculator that can estimate an individual patient’s short-term risk of developing a range of diabetes-related complications, using information already collected during routine medical care.
Student Spotlight: Declan McKenna
The University of Maryland Institute for Health Computing (UM-IHC) offers students at all levels opportunities to work with seasoned researchers and tap into the institute’s expertise and technologies.