Computational Biologist Dr. Ming Hu Receives $2.4M NIH Genomic Innovator Award
Dr. Hu is one of 11 researchers across the country to receive the prestigious grant for early-career genomics researchers.
Computational Method Identifies Chromatin Loops at Single-Cell Resolution
Dr. Hu and collaborators developed a new method, SnapHiC, to study chromatin spatial organization in single cells to help reveal mechanisms governing gene regulation and disease etiology.
New Analysis of Previous Trial Results Offers Insights into Personalized Care for Type 2 Diabetes
Dr. Rotroff and team found that genetic variation may help to identify diabetes patients at risk for cardiovascular disease who may benefit from aggressive glycemia treatment.
Latest COVID-19-Related Prediction Model from Cleveland Clinic Forecasts Risk for ICU Admission, Death
This latest prediction model from Drs. Kattan and Jehi helps identify which COVID-19-positive patients are at greatest risk for severe COVID-19, which may help physicians prioritize who should receive COVID-19 vaccines first.
Researchers Embark on New Study to Identify Predictors of Chemotherapy-Associated Pain Condition
Dr. Rotroff and clinical collaborator Dr. Foss will compare genetic, epigenetic and metabolomic data from breast cancer patients who experience the condition versus those who don’t in an effort to develop a predictive machine learning-based algorithm for personalized risk.
COVID-19 Risk Model Developed by Cleveland Clinic Now Available to Health Systems Around the World Through Epic
Healthcare organizations can present the clinically validated model—first published by Drs. Kattan and Jehi in a June edition of CHEST—to patients in MyChart to assess their risk of having COVID-19.
Cleveland Clinic Joins New Consortium to Map Nuclear DNA in Four-Dimension
Dr. Hu and a group of international collaborators will investigate how chromatin is spatially organized within the nucleus of various cell types and how this organization changes over time—the fourth dimension—in an effort to identify targets for treating a host of diseases.
A 3D Epigenomic Characterization of the Developing Human Cortex
In collaboration with researchers across the country, Dr. Hu used a multi-omics approach to define the epigenetic characteristics of cell types critical for cerebral cortex formation, revealing potential targets for neuropsychiatric diseases related to faulty cortical development.
New Prediction Model Can Forecast Personalized Risk for COVID-19-Related Hospitalization
Drs. Jehi and Kattan have developed their second COVID-19 nomogram—this latest one helping physicians to anticipate which COVID-19 patients are most likely to be admitted to the hospital for related symptoms and complications.
New Analysis Shows Surgery for Drug-Resistant Temporal Lobe Epilepsy is Cost-Effective
The first U.S. cost-effectiveness analysis in decades supports more surgical evaluations, suggesting the up-front cost of evaluation is significantly smaller than the price paid by patients, society and healthcare systems when medications alone are used.
Researchers Develop First Model to Predict Likelihood of Testing Positive for COVID-19 and Disease-Related Outcomes
The first-in-class individual prediction model, developed by Drs. Jehi and Kattan, reveals new characteristics that affect a person's risk for testing positive, including taking certain medications and vaccination history.
Breathing New Life into Lung Transplant Allocation: Policies Require Dynamic Forecast Modeling
With a new grant from the National Heart, Lung, and Blood Institute, Drs. Dalton and Valapour will develop an improved risk modeling approach to help prioritize patients with advanced lung diseases who need a transplant.
Unraveling the Genetic Underpinnings of Gastric Cancer in Hispanic/Latino Patients
Dr. Hwang and a group of external collaborators found that Hispanic/Latino gastric cancer patients exhibit a higher incidence of CDH1 mutations, which may explain some of the observed racial disparities in disease incidence.
Researchers Develop COVID-19 Case & Mortality Dashboard
Staff in the Department of Quantitative Health Sciences have created a dashboard to help stay current on COVID-19 case and mortality U.S. data.
Researchers Find Common Measures of Immune Status, Inflammation Can Predict Mortality
Risk Calculator Predicts Diabetes Complications from Weight Loss Surgery
New Statistical Guidelines in Urology Research
Statistics Expert Leads National Clinical Trials Task Force
Center for Populations Health Research First Round of Project Collaboration
Kattan Recognized with National Award
How Where You Live Can Affect Your Health: A National Analysis of End-Stage Renal Disease Patients
Schold to Lead Populations Health Research Center
Cardiovascular Risk Models Exclude Socioeconomic Factors; New Grant to Develop Enhanced Model
Grant to Improve Epilepsy Surgery Outcomes