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Improving Doctor-Patient Discussions About Drug Costs Research Network

Improving Doctor-Patient Discussions About Drug Costs Research Network

Many patients in the U.S. struggle to comply with their doctors’ orders because they can’t afford their medications. A new study conducted through the UR CTSI’s Greater Rochester Practice-Based Research Network suggests that a little training can help physicians address their patients’ medication cost concerns. 

Announcing  the Winners of the America's Got Regulatory Science Talent Student Competition

Announcing the Winners of the America's Got Regulatory Science Talent Student Competition

The sixth annual America’s Got Regulatory Science Talent student competition featured presentations from twelve teams. Proposals ranged from a new policy to govern data sharing by medical/wearable devices to a farm-to-table produce-tracking app. Learn more about the competition and winners.

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.

UR CTSI-Supported Study Links Electronic Cigarettes and Wheezing in Adults

UR CTSI-Supported Study Links Electronic Cigarettes and Wheezing in Adults

A UR CTSI-supported study links vaping - or e-cigarette use - with wheezing in adults, which could herald other serious health concerns. This is particularly concerning given the recent uptick in youth vaping.

The Promises and Pitfalls of Omics in Precision Medicine

The Promises and Pitfalls of Omics in Precision Medicine

Omics techniques that rapidly analyze large amounts of genomic and other data from an individual cell, tissue or patient could greatly benefit precision medicine, but not without challenges. A UR CTSI-led team explored how to apply these techniques to precision medicine and revolutionize patient diagnosis and therapeutic interventions.