DEPM 2018 - 1st Workshop on Emerging Data Engineering Methods and Approaches for Precision Medicine

The goal of the workshop is to bring together leading researchers and practitioners working on a diverse range of theoretic and practical approaches for the scalable engineering of genomic, molecular, imaging, text and other medical research, clinical, and administrative data in the context of precision medicine. The workshop will consist of diverse talks along with discussions about current problems, tools and techniques for engineering, sharing, fusing, analysing and managing the quality of heterogeneous biomedical data, and how these solutions may be applied to the challenges as well as future needs of research and applications in precision medicine.
Topics of Interest
The workshop will be focused on, but not limited to, the following broad themes:
Scalable algorithms, tools, and techniques for the engineering of data in molecular biology, genomics, medical imaging, clinical and administrative operations, and medical sciences,
Practical approaches for the secure and privacy-preserving management and sharing of diverse and heterogeneous biomedical data, including data de-identification, methods for distributed data analysis and synthetic data generation,
Specialized algorithms for efficient storage and delivery of precision medicine data products,
Machine learning and artificial intelligence-enabled engineering, cleaning, curation, fusion and quality control of data for precision medicine,
Workflows and pipelines for life science data engineering,
High performance computing methods and software for the derivation of biomedical data products, and
Software and hardware foundations for managing Big Data in biomedical informatics.
Cross-cutting and interdisciplinary papers spanning different disciplines of computer science (e.g. AI, VR, bioinformatics) or other relevant disciplines (e.g. medicine, molecular biology) as well as application-oriented papers (e.g. techniques for engineering heterogeneous datasets) and case studies (e.g. discoveries of new treatment options) are especially welcome.
In addition to regular papers catering to the above spectrum of topics, we also invite “position papers” which highlight some of the grand challenges, scientific problems or a vision, along with related challenges and advances.
The workshop is devoted to addressing some of the grand challenges in data engineering, and promoting the highest standards in research and education. As a part of this mission, the DEPM workshop will feature thematic keynote presentations by recognized leaders and luminaries who continue to significantly advance the domain.