Non-profit publisher Annual Reviews has announced the publication of the inaugural volume of the Annual Review of Biomedical Data Science, its 50th publication.
Inaugural Co-Editors Russ B. Altman and Michael Levitt and the journal's Editorial Committee have invited recognised leaders to address broad challenges in the discipline. Contributors synthesise and analyse primary research addressing important new technologies for analysing biomedical data such as deep learning, text mining, network analysis, visualisation, privacy policy and technology, sequence analysis, protein-RNA interactions, molecular interaction networks, simulation of cells/tissues, challenges for mass spectrometry, clinical and genomic phenotyping, and cancer therapy resistance.
The Annual Review of Biomedical Data Science offers readers deeper discussion of novel methods to explore the unprecedented volume and velocity of genomic data, sensor data, and healthcare data. The articles will summarise progress and challenges, becoming an archival record and source of deep information about the contributions of data science to the larger biological and medical research landscape. As more biologists, physician-scientists, clinical trialists and others need this specialized knowledge, the journal will be invaluable to address the most pressing research challenges to accelerate scientific discovery and improve patient outcomes and health care.
The full volume is freely available online at https://www.annualreviews.org/journal/biodatasci for an initial preview period.
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