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Leveraging predictive analytics to estimate clinical trial success

Estimation of the success likelihood of a clinical trial plays a vital role in determining the time and investment it takes to bring efficacious drug treatment to patients to cure and manage disease. 


In an interview with CIO Applications, a Silicon Valley-based tech magazine, Blanca Baez, SVP, Global Head of Pharma & Biotech, and Armin Schneider, SVP of Scientific & Medical Affairs of Molecular Health, share their insights on how the company helps in making unbiased evidence-based clinical development and portfolio  decisions with its technology platform branded MH Predict, by converting clinical and molecular data and medical knowledge into actionable information. Read more at: