Development of Gene Therapies: Strategic, Scientific, and Regulatory Considerations is an unparalleled summary of the current scientific, statistical, developmental, and regulatory aspects of gene therapies, which is fast becoming a core area of the biopharmaceutical industry. This edited volume provides a systematic description of core development topics in gene therapies through 19 peer-reviewed chapters written by subject matter experts in the field.
This edited volume is an invaluable resource for business leaders and investors hoping to understand the scientific principles and strategy of a company they may potentially invest in; the family members of someone affected by a genetic disease who wish to understand better how these therapies work and what they might expect as a treatment for a loved one; academic professionals, who want to learn and teach incoming medical, public health, or business students; and seasoned drug developers, who wish to learn more about the about the cutting edge of biopharmaceutical drug development.
Key Features:
Avery McIntosh, Ph.D. is a drug developer working in rare diseases at Pfizer. He received his M.Sc. and Ph.D. in biostatistics from Boston University with a dissertation on Bayesian methods to model household tuberculosis transmission. He has managed teams of statisticians across study phases and in a variety of drug types and disease areas, including neurology, ophthalmology, infectious disease/ global health, hematology, and oncology. He has published peer-reviewed articles on various topics in drug development and biostatistics, including development of cell and gene therapies and qualification of digital endpoints in neurological diseases.
Oleksandr Sverdlov, Ph.D. is a Neuroscience Disease Area Statistical Lead at Novartis. He received B.Sc. in Applied Mathematics from V.N. Karazin Kharkiv National University, Ukraine, M.Sc. in Statistics from University of Maryland, Baltimore County (UMBC), and Ph.D. in Information Technology with Concentration in Statistical Science from George Mason University. He has been actively involved in methodological research and applications of innovative statistical approaches in drug development. He has co-authored over forty refereed articles, edited two monographs, and co-authored a book Mathematical and Statistical Skills in the Biopharmaceutical Industry: A Pragmatic Approach (CRC Press/Chapman & Hall, 2019). His most recent work involves design and analysis of clinical trials evaluating novel digital technologies