Elsevier: Solving Clinical Problems with Data Science
During September’s HDSI Industry Seminar you learned of the ways Elsevier is evolving beyond its roots in scholarly publishing and moving into the development of data products. Join us again to learn about Elsevier’s Clinical Solutions division, which is dedicated to the development of software designed to tackle the most vexing problems in medicine. During this hour, we’ll give you a glimpse of the types of software we have in the field and how data science is being used to augment these products. We’ll show you how we’re using natural language processing (NLP) to elicit discrete data elements from breast cancer pathology reports, and thus facilitate the use of clinical pathways in oncology. Then we’ll describe how we’re leveraging computer vision and machine learning to surface physician-favored content types out of a vast corpus that was not originally designed to be machine readable. Finally, we’ll touch on the shifting regulatory landscape affecting our solutions.
Kaushik Raha, PhD, is Vice President of Data Science, Health Content Operations at Elsevier. He heads a global team of data scientists and domain experts who are extracting knowledge from Elsevier’s content at scale, using natural language processing (NLP), machine learning/deep learning, and other artificial intelligence (AI) technologies. He oversees the development and deployment of data science and AI first solutions, to enhance Elsevier's product and platform capabilities in healthcare, health education, life sciences, and pharma. Prior to Elsevier, he led data science and innovation teams at Johnson & Johnson(J&J) and GlaxoSmithKline(GSK). Kaushik holds a Ph.D., in Computational Chemistry and Chemical Biology from Penn State University and did postdoctoral research at UCSF in San Francisco. He has numerous publications and patents to his name and has been honored with prestigious awards for his contributions to R&D, innovation, and leadership.
Constanza Villalba, PhD, is Director of Informatics Innovation for Elsevier Clinical Solutions. Her focus is on the regulatory and medicolegal environment, and she is helping the organization adopt the necessary methodologies to remain compliant as Clinical Solutions products evolve and fold in ever more sophisticated technology. Dr. Villalba has a PhD from the Center for Neuroendocrine Studies at the University of Massachusetts at Amherst, where she studied sex differences in the brain and their behavioral correlates. She was a Mass Media Fellow with the American Association for the Advancement of Science and an Informatics Fellow with the National Library of Medicine. Prior to joining Elsevier, Dr. Villalba had a successful career as a medical editor, including at UpToDate and the Massachusetts Medical Society, home to the New England Journal of Medicine. Thus, she has extensive experience with the tenets of editorial quality, publishing ethics, and evidence based medicine. In 2018, she served as a Research without Borders volunteer in Rwanda.