141 Data Analytics in Operational Support


Description:
Data Science and Analytics is a rapidly emerging field with multiple applications arising from the combined analysis of structured (relational & ontological databases) and unstructured (text, voice, image, video) data from multiple internal and external source systems. The fruits of recent progress in this field have transformed how organizations can gain insights from data, and have fully computerized some tasks once thought to be beyond automation. This session will focus on the application of data analytics to deliver similar benefits for pharmaceutical development organizations.

Sponsor:
Pharmaceutical Discovery, Development and Manufacturing Forum
Co-Sponsor(s):
Systems and Process Design (10A), Pharmaceuticals (15B)


Chair:
Shekhar Viswanath
Senior Engineering Advisor
Eli Lilly and Company
Product Research and Development
Indianapolis, IN
46285
Phone Number: 3172928784
Email: VISWANATH_SHEKHAR@LILLY.COM

Co-Chair:
Jacob Albrecht
Senior Research Investigator
Bristol-Myers Squibb
One Squibb Drive
New Brunswick, NJ
08903
Email: jacob.albrecht@bms.com


Papers:
141a
Prediction of Risk in Drug Substance Starting Material Selection
Brandon Reizman, Eli Lilly and Company; Justin Burt, Eli Lilly and Company; Scott Frank, Eli Lilly and Company; Salvador García-Muñoz, Eli Lilly and Company
141b
An Intelligent Machine for Document Preparation
Shekhar Viswanath, Eli Lilly and Company; Jared Fennell, Eli Lilly and Company; Matthew Yates, Eli Lilly; Justin Burt, Eli Lilly and Company; Jason Yazell, Eli Lilly; Rachel Kuhr, Rocketspace; Brad Strum, Rocketspace; Prafulla Krishna, Coseer Inc.; Kalpesh Barar, Coseer Inc.; Rucha Kulkarni, Coseer Inc.; Harshad Kulkarni, Coseer Inc.
141c
Data-Driven Real-Time Operation Support for Decontamination Processes in Biopharmaceutical Drug Product Manufacturing
Anicia Zeberli, The University of Tokyo; Sara Badr, The University of Tokyo; Christian Siegmund, Hoffmann - La Roche; Markus Mattern, Hoffmann - La Roche; Hirokazu Sugiyama, The University of Tokyo
141d
Ontology-Driven Models and Algorithms for Pharmaceutical R&D Activity Planning
Nikolaos Lappas, Carnegie Mellon University; Michael Semo, Eli Lilly and Company; Scott Frank, Eli Lilly and Company; Shekhar Viswanath, Eli Lilly and Company; Justin Burt, Eli Lilly and Company; Shankarraman Vaidyaraman, Eli Lilly and Company; Chrysanthos E. Gounaris, Carnegie Mellon University
141e
Development of an End-to-End Data Management and Visualization System for Cell Culture Process Development
Brian Doyle, Gilead Sciences, Inc.; Delyan Rusev, Gilead Sciences, Inc.; Itze Lamadrid, Gilead Sciences, Inc.; Winnie Yeung, Gilead Sciences, Inc.; Gayle E. Derfus, Gilead Sciences, Inc.; Yunling Bai, Gilead Sciences, Inc.; Cary F. Opel, Gilead Sciences, Inc.
141f
Holmes: An Ontology-Based Knowledge Management System for Pharmaceutical Engineering
Miguel Francisco Remolona, Columbia University; Venkat Venkatasubramanian, Columbia University
Abstract Submissions Closed
See more of this Group/Topical: Pharmaceutical Discovery, Development and Manufacturing Forum
<< Previous Session | Next Session >>