Publications by authors named "Gaurav Sirdeshmukh"
Introduction: Adverse drug reactions (ADRs), including those resulting from drug interactions, remain a leading cause of morbidity and mortality. Structured product labels (SPLs) serve as a primary source for drug safety information. Having machine-readable product labels, including adverse reactions (ARs) and drug interactions, readily available would allow researchers to streamline medication safety studies.
View Article and Find Full Text PDFBackground: Adverse drug events (ADEs) are the fourth leading cause of death in the US and cost billions of dollars annually in increased healthcare costs. However, few machine-readable databases of ADEs exist, limiting our capacity to study drug safety on a broader, systematic scale. Recent advances in natural language processing methods, such as BERT models, present an opportunity to accurately extract relevant information from unstructured biomedical text.
View Article and Find Full Text PDFRecruitment of diverse community health center patients in a pragmatic weight gain prevention trial.
J Clin Transl Sci
October 2022
Article Synopsis
- Pragmatic trials aim to establish effective obesity treatment methods in community health centers, focusing on diverse populations at higher risk for obesity.
- This study analyzed recruitment strategies in a pragmatic trial called Balance, examining how sociodemographic factors affected participation through health center and mail recruitment.
- Results showed that health center recruitment was more effective for underrepresented groups, while mail strategies better engaged other demographics; both methods did not significantly impact randomization odds once participants returned necessary forms.