This article describes the trajectory of adherence patterns among users of sodium-glucose cotransporter 2 (SGLT2) inhibitors. The authors found that baseline factors were unable to predict the ...

Evaluation of a Natural Language Processing Model to Identify and Characterize Patients in the United States With High-Risk Non–Muscle-Invasive Bladder Cancer In early-stage HR+/ERBB2–– and TN groups, ...

We studied patterns of utilization of diuretics in a non- diabetic hypertensive veteran population with an emphasis on drug regimens consisting of two or more drugs. More than one third of all ...

The company recently developed a novel, recombinant protein-based chip for identifying protein binding "signatures" in vitro. 1 Candidate pharmaceutical compounds are passed over a prefabricated chip ...

A new study is one of the first explorations of prescribing patterns of tricyclic antidepressants for treatment of diabetic peripheral neuropathy at healthcare facilities predominantly serving diverse ...

Analysing shopping data of nonprescription medications could help predict and respond to fluctuating patterns of respiratory diseases, according to a study published in Nature Communications. Public ...

Newly discovered drug leverages the power of Pattern Discovery EngineTM (PDE) and is an extension of 2025 study wherein Pattern developed novel risk assessment tool, discovered new drug target for ...