How machine learning can help improve the operational efficiency of clinical trials

Craig Morgan
Head of Marketing, Study Startup

The increasing complexity and spiraling costs of running clinical trials have forced life science organizations to renew their focus on improving operational efficiencies, particularly as the industry moves to embrace personalized medicine, with its lower per-patient revenue model.

There’s no silver bullet, of course. But innovative machine learning techniques show great promise in helping life science companies identify and rectify systemic inefficiencies, allowing them to learn and adapt.

In the automotive industry this innovative approach has propelled Tesla to become the leading car company based on market capitalization, dwarfing other automobile giants in just over 15 years.

Can machine learning bring about the same transformation to the pharmaceutical industry?

Please join us for this webcast:

Live: Tuesday, February 23, 2021

1pm EST | 12pm CST | 10am PST

On Demand: available after airing until February 23, 2022

In this webcast, we will explore:

  • What is required of life science companies to make machine learning a reality? Is it just technical expertise?
  • What are the benefits and challenges of implementing machine learning?
  • How will machine learning impact clinical staff, trial quality, risk management, patient engagement, costs, and site activations?
  • How can machine learning help clinical researchers make more precise predictions and improve their daily activities now, as well as in the future?

This webcast is applicable to:

  • Sponsor and CRO roles responsible for:
    • Site identification, feasibility assessment, selection, and activation
    • Clinical data management; collecting and evaluating trial metrics
    • Project management of studies and operational excellence
    • Process innovation and operational efficiencies in clinical trials



Artem has over 20 years of experience in data quality projects, RBQM, and biostatistics in the pharmaceutical industry, with expertise in such topics as: Spirometry, ECG, Oncology, ePROs, and clinical data management. His life’s passion is to enable safer and more efficient clinical trials, improve clinical research with Risk-Based Quality Management (RBQM), and drive the concepts of RBQM to new frontiers. In 2013, he founded tRBQM company Cyntegrity, which focuses on data-driven risk management in clinical trials. Artem earned a Ph.D. in mathematical modeling and an executive MBA from the Cass Business School of the City University of London.

ROHIT NAMBISAN, President, Lokavant

Rohit Nambisan is a product leader with management experience across multiple healthcare technology domains, including big pharma, medical devices, personalized medicine, health IT, health data and analytics, and AI. Prior to leading Lokavant, Rohit was most recently the head of digital product at Roivant and the head of product at Prognos.

MARCY KRAVET, Head, Operational Design Center, EMD Serono

Marcy Kravet is the head of the Operational Design Center (ODC) at EMD Serono. The ODC is a relatively new function created to use data and advanced analytics to design more efficient clinical trials. Marcy’s team has recently launched an AI-enabled trial planning platform, enabling multi-variable scenario modeling. Prior to joining EMD Serono, Marcy spent 12 years at Bristol-Myers Squibb building her operational expertise in various leadership roles in clinical operations, medical scientific publications, and oncology early development. Prior to her tenure at BMS, Marcy honed her passion for patients when she created the Physicians Research Network for Connecticut’s largest primary care practice, and previously at a clinical trial patient recruitment firm.

A.J. TRIANO, EVP, Customer Experience Strategy, Syneos Health

AJ is EVP, Customer Experience Strategy, at Syneos Health. He has a 15-year career history in healthcare technology and communications with a track record of strategic multichannel guidance and innovative technology pilots in healthcare. His global healthcare agency career spans the top global networks. AJ took an agency hiatus for three years working closely with Apple, major academic research institutions, pharmaceutical companies and hospital systems to deliver mClinical research using Apple’s ResearchKit™ and remote care programs using Apple’s CareKit™ frameworks. Innovative digital research and connected mHealth programs he helped bring to market are fundamentally changing the way healthcare is both researched and delivered in real time. Some of this work has been published in the scientific peer-review publication, PLOS ONE. He was honored in 2019 as a PM360 ELITE Top 10 Digital Crusader.

ELVIN THALUND, Director, Industry Strategy, Oracle Health Sciences

Elvin is a recognized industry expert in clinical trials, having over twenty years of experience working as a Clinical Business Analyst Consultant at major pharmaceutical companies including, Hoffmann-La Roche and Johnson & Johnson. Elvin works as a product strategist and system architect in Oracle Health Sciences effort to optimize Study Startup. Elvin is the co-chair on the TMF Reference Model Exchange Mechanism and holds a Master of Science in Industrial Engineering from Aalborg Universitet.

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