Maximizing Value from Healthcare Data Using Machine Learning

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Date/Time
Date(s) - 18 Oct 2018
4:00 pm - 5:00 pm

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Joint webinar between Pistoia Alliance and PRISME forum and is open to all

In order to advance Machine Learning driven analytic approaches, having access to more data is better. In order to achieve increasingly larger patient level datasets, Researchers require the pooling of data from participants across the Healthcare ecosystem.

Common requirements and technical design patterns have emerged from company-specific and industry consortia efforts, forming underlying patterns that make up an overall Reference Architecture for data that can ultimately feed new analytics and Machine Learning.

In this presentation and panel discussion, we will review practical experience in creating and leveraging a common design pattern to simplify and accelerate data sharing efforts that support Research efforts through Machine Learning approaches.

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  • Introductions and overviews
    • Pistoia Alliance Centre of Excellence for AI in Life Sciences and Health
    • PRISME Forum AI Special Interest Group
  • The Maturity of AI/ML in Pharmaceutical R&D
    • Overview of the AI/ML Maturity Model
    • The PRISME Forum Industry Survey and White Paper on AI in Pharmaceutical R&D
  • Webinar Presentation and Panel
    • Establishing Data Sharing and Machine Learning Reference Architectures to Drive Patient Data Level Research Use Cases
    • Maximizing the Value from Data using a Reference Architecture
  • Panel Discussion
  • Wrap-up andreview from Pistoia Alliance Oct 9th AI/ML workshop

Speakers and Panels

John Apathy leads Information Technology for Research and Development at Celgene.   Over the past 5 years, John has sponsored or led the transformation of the majority of Celgene’s R&D IT enabled capabilities, including Research Computing, Clinical and Translational Data Management, Clinical Trial Planning and Execution, Medical Affairs, and Drug Safety/Pharmacovigilance.   Recently John has led efforts to develop AI and data-driven approaches to transform R&D capabilities.  A Biochemist by training, John has worked for GlaxoSmithKline, Wyeth, Accenture, PA Consulting, and Lilly over a 30+ year career spanning science, technology and business in the Pharmaceutical industry.  John is a member of the PRISME Forum board and leads the PRISME Forum AI Special Interest Group.

Shameek Biswas, PhD, joined the Predictive Sciences group in Celgene in 2016. His work is currently focused on target discovery and validation for Neurodegenerative disorders using human genetics. He is involved in a number of large consortium based projects such as FinnGen, AMP PD, Open Targets conducting PheWAS and GWAS of disease risk and progression. Prior to Celgene, Shameek spent seven years in Novo Nordisk performing target discovery and biomarker-based computational research for autoimmune and metabolic indications .

Mark Davey, CISSP-ISSAP, joined the Celgene Global Information Security team 4 years ago and is responsible for Security Architecture & Cloud Security globally, supporting all business units. Mark has over 12 years’ experience in Information and IT Security, across Pharmaceutical, Financial and Energy sectors having previously worked as the Incident Response Lead in the Security Operations Center at Visa Europe, and as a Snr Security Engineer at EDF Energy. 

Klaus Hofenbitzer, PhD, joined Celgene 4 years ago as the Enterprise Architect supporting the R&D Organization. As of 2016, Dr. Hofenbitzer is heading the Enterprise & Business Solution Architecture department at Celgene supporting all business functions.  Prior to joining Celgene, Dr. Hofenbitzer worked at Bristol Myers Squibb as the business architect for the development organization and as a technology/strategy consultant at PA Consulting Group for 10 years supporting major BioTech and Medical Device Companies.

Nick Lynch, leads Pistoia Alliance’s AI strategic theme

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Posted in Pistoia Alliance.