Increased Adoption of Artificial Intelligence (AI) and Machine Learning

Q1. In what areas of pharma/biopharma are you most excited to see increased adoption of artificial intelligence (AI) and machine learning?

Raj Indupuri, Chief Executive Officer, eClinical Solutions

There are many opportunities for AI/ML across the entire clinical trials value chain, but in terms of adoption what’s most exciting right now is seeing AI/ML applications that can help us scale and manage some of the most challenging and time-consuming facets of managing the clinical data in trials. Everyone across the industry is looking for cycle time improvements and efficiency gains. Clinical data is the currency of life sciences, but, historically, manual methods have persisted within the data processes of clinical development. As the volumes of data being collected from patients grew, it became unscalable to manage those data without applying advanced approaches in data science like ML models or AI. Now we are in a place where interest and intent in AI is being matched with heightened adoption of approaches that are available today. Using AI models, we can automate data review to identify data quality issues and augment the work of data reviewers so that they can identify some of the issues that would have taken significant time otherwise. AI can detect outliers and data issues and quickly surface these as outputs that a data reviewer — the “human-in-the-loop,” — can address and act on, removing the need to manually address these incredible numbers of individual data points. Applying AI to these clinical data use cases will create efficiencies and decrease cycle times across clinical trials.

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Raj Indupuri

CEO, eClinical Solutions

A technologist with over 25 years of industry experience, Raj Indupuri is responsible for establishing the eClinical Solutions vision and future-looking technology strategy. He is deeply passionate about fostering innovation to revolutionize the Life Sciences industry with ground-breaking technologies that will modernize clinical trials and bring treatments to patients faster. As an industry veteran who has been part of the evolution of Life Sciences and clinical data management for over two decades, Raj has an astute business vision to realize the digital future and enable progress and potential with data and analytics at the core of the company’s innovative products and solutions. Raj is responsible for the overall direction and management of the company and is a Mechanical Engineer with an MBA from Boston University who firmly believes data is the new fuel that will drive human progress.