- Dr. Shameer Khader
- Advanced Analytics Center, AstraZeneca, Gaithersburg, MD, USA
Website | E-mail
Special Issue Introduction
Biomedical research, therapeutics development, and healthcare delivery are in a transformation phase, moving from a hypothesis-driven area to an intelligent, data-driven discipline. Future of drug development and practice of medicine will be personalized, precise and to a large extent driven by precise phenotypes than the broad classification of diseases. With the advent of scalable computing technologies, intelligent algorithms and ubiquitous data streams; data-driven precision medicine is poised to improve outcomes for patient populations.
To develop a future of data-driven precision medicine, data at all scales: big, small, deep, wide and mere-data crumbs would be of value. As part of the special issue of JUMD that focuses on data-driven precision medicine, the editors are now inviting manuscripts that describe unexplored biomedical data sets, data integration modalities, machine intelligence algorithms, and statistical methods. Manuscripts describing data modalities of diverse scope and scale beyond the traditional setting of biomedical profiling (genome, proteome, metabolome) and healthcare data (EHR and clinical registries) would be of interest. Particular emphasis would be given for manuscripts that shows trans-disciplinary value and challenges the boundaries of disciplines of interest (Computing, classical epidemiology, drug discovery, health informatics, disease biology, and healthcare delivery). The issue is neutral towards disease modalities and therapeutic areas and encourages the investigators working on developing computational diagnoses, therapeutics development and personalized prognoses to submit.
We invite original research, review articles, short communications, and technical notes for the special issue.
KeywordsPrecision medicine, big data, small data, data crumbs
Submission Deadline31 Oct 2019