Hemalatha Raju

Lead Data Scientist at Syneos Health 

Hema works as a lead data scientist at Syneos Health LLC. She is a clinical research professional with a Ph.D. in biomedical sciences, and over 12 years’ experience in healthcare industry. Hema has independently designed and developed the comprehensive risk-based monitoring algorithm, predictive analytics, fraud detection pipeline, on-study analytics models and solutions to improve the quality of clinical trial data.

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Predictive analytics in clinical trials

Predictive analytics in clinical trials helps to improve the study design by enlightening on the best country/site mix, study start up activation timelines, recruitment rate, patient recruitment and enrollment projections. Predictive analytics is applied to help predict patient enrollment, outcomes of clinical trials, refine safety and efficacy data, thus enabling reduced costs, and faster drug approval times.