Data Science: challenges and opportunities

"Hiding within those mounds of data is knowledge that could change the life of a patient, or change the world."- Atul Butte, University of California, San Francisco

New! Annual Review of Biomedical Data Science - Volume 1, July 2018

Later this month the Annual Review of Biomedical Data Science publishes its inaugural volume, co-edited by Russ B. Altman, winner of the 2018 International Society for Computational Biology and Bioinformatics Outstanding Contribution award, and Michael Levitt, joint winner of the 2013 Nobel Prize in Chemistry.

This new journal captures the most important contemporary data science challenges in digestible review articles that span basic molecular biology to clinical medicine and include important new technologies. To mark this milestone, we've curated a special collection of articles from several journals across the Annual Reviews interdisciplinary catalog.

Data Science - Challenges and Opportunities

New from the inaugural Annual Review of Biomedical Data Science

See all articles

All articles in the Data Science - Challenges and Opportunities collection are FREE to read through August 31, 2018.

Additional articles from this collection

Diverse topics covered in this collection include genomics, data visualization, computational biology, machine learning, organizational behavior, bioinformatics, ecoinformatics, cognition, precision medicine, confidentiality, and the development of more effective therapeutic strategies.

Annual Reviews is a nonprofit publisher dedicated to synthesizing and integrating knowledge for the progress of science and the benefit of society. They currently publish 50 highly cited journals in the Biomedical, Life, Physical, and Social Sciences, including Economics.