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New KL2 Career Development Awardees Investigate Lung Disease, Frailty in Colon Cancer Survivors

New KL2 Career Development Awardees Investigate Lung Disease, Frailty in Colon Cancer Survivors

Congratulations to this year's recipients of the UR CTSI KL2 Career Development Award: Nikesha J. Gilmore, Ph.D. and Matthew D. McGraw, M.D. The award provides two years of support to help early-career scientists obtain independent funding for their innovative research.

UR CTSI-Supported Study Aims to Predict, Prevent Acute Kidney Injury

UR CTSI-Supported Study Aims to Predict, Prevent Acute Kidney Injury

Acute kidney injury is often preventable, but we currently lack the ability to accurately predict when it will occur and to whom. UR CTSI researchers dug into longitudinal patient data to identify risk factors that can be used to predict and prevent this deadly and debilitating disease.

2018 Career Development Scholars to Study Movement Control, Suicide Prevention

2018 Career Development Scholars to Study Movement Control, Suicide Prevention

This year’s UR CTSI Career Development Awardees, Caroline Silva, Ph.D., and Kevin Mazurek, Ph.D., will study suicide prevention among Hispanic populations and how the brain controls voluntary movements, respectively.

Remembering Renowned Cardiologist and Mentor Arthur J. Moss

Remembering Renowned Cardiologist and Mentor Arthur J. Moss

A former UR CTSI KL2 Scholar shares memories of his late mentor, Arthur J. Moss, M.D., a pioneer in the prevention and treatment of sudden cardiac death. Moss died on February 14, but his legacy will endure through the many scientists he mentored over his six-decades-long research career.

Studying Healthcare as a Network: Does the Analysis Match the Question?

Studying Healthcare as a Network: Does the Analysis Match the Question?

Studying the healthcare system as a network can help researchers uncover patterns of opioid over-prescription or predict how a virus outbreak might overtax a healthcare network. But researchers from the University of Rochester Medical Center caution that the type of algorithms used to make these discoveries could provide misleading results.