Genomic Data Sharing: Case Studies, Challenges, and Opportunities for Precision Medicine
Language: English
Published by Academic Press, 2022
- Softcover
- New
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
AbeBooks seller since January 6, 2003
Condition: New
£ 185.93
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Add to basketItem description from seller
360 pages. 9.25x7.50x0.67 inches. In Stock.
Seller Inventory # zk0128198036
- Title
- Genomic Data Sharing: Case Studies, Challenges, and Opportunities for Precision Medicine
- Author
- Mccormick, Jennifer B. (Editor) / Pathak, Jyotishman (Editor)
- Publisher
- Academic Press
- Publication year
- 2022
- Condition
- Brand New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 0128198036
- ISBN 13
- 9780128198032
- Item weight
- 0.49 kilograms
Clinician investigators, clinicians affiliated with academic medical centers, policymakers and regulators will also gain insights that will allow them to navigate the increasingly complex ethical, social and clinical landscape of genomic data sharing.
- Covers both technical and ELSI (ethical, legal, and social implications) perspectives on genomic data sharing
- Includes applied case studies of existing genomic data sharing consortia, including the eMERGE Network, Undiagnosed Disease Network, and the Global Alliance for Genomics and Health (GA4GH), among others
- Features chapter contributions from international leaders in genomic data sharing
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Pathak is the Frances & John L. Loeb Professor of Medical Informatics and the Chief of Division of Health Informatics at Weill Cornell Medicine, Cornell University, New York. Prior to joining Weill Cornell, he was the Professor of Biomedical Informatics at Mayo Clinic in Rochester, Minnesota (2007-2015) where he led two major NIH/HHS funded initiatives―the Electronic Medical Records and Genomics (eMERGE) and Strategic Health IT Research Project (SHARP) projects―which have pioneered techniques for high-throughput phenotyping from the electronic medical record. His research interests and expertise lie in developing and applying informatics methods for data mining and phenotype extraction from electronic medical records (EMRs), and their applications in pharmacogenomics, comparative effectiveness research, and population health research, particularly focusing on mental health disorders. Throughout his career, he has led and collaborated across multiple investigators in several NIH/DHHS consortiums, including, most recently at Mayo, as the Co-PI of eMERGE and PI of PCORI Learning Health Systems Clinical Data Research Network, and currently at Weill Cornell, as the Co-PI for the PCORI New York City Clinical Data Research Network (NYC-CDRN) and the PI for NIH Big Data to Knowledge (BD2K) R25 Training and Education Program on Biomedical Informatics (BD2BMI).
"About the title" may belong to another edition of this title.
Revaluation Books
Exeter, United Kingdom
AbeBooks seller since January 6, 2003
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