********  BIGPMED 2018 Call for Papers ********
First International Workshop on BIG data storage, processing and mining for Personalized MEDicine
Co-located with ADBIS 2018, Budapest, Hungary

Full-paper submission: April 27, 2018
Acceptance notification: June 1, 2018
Camera ready: June 18, 2018
Workshop: September 2, 2018


In the last few years we have witnessed an exponential growth of biological and medical data, coming from the always more advanced sequencing technologies, clinical and imaging data, electronic health records, etc.. The resulting data are complex in contents, heterogeneous in formats and order of Terabytes in amount. These “big data” in the biological and medical domain
provide unprecedented opportunities to work on exciting problems, but also raise many new challenges for data storage, process and mining. A very challenging scenario is that of Personalized (or Precision) Medicine, according to which medical decisions, treatments, practices, or products should be tailored to the individual patient. In this respect, the selection of appropriate and optimal therapies can be based on the context of a patient’s genetic content or other molecular or cellular analysis. To this aim, heterogeneous data collected from different sources, such as genetic heritage, lifestyle and environmental context, may be combined in order to advance disease understanding, diagnosis and treatment, and ensure delivery of appropriate therapies.
The First International Workshop on BIG data storage, processing and mining for Personalized MEDicine will provide to participants the opportunity of introducing and discussing new methods, theoretical approaches, algorithms, tools, and platforms that are relevant for the database community in the domain of Personalized Medicine. This will hopefully imply also the definition of new problems raised in managing complex data, and the dissemination of novel ideas on the application of “big data” methodologies in the biological and medical domain.
The list of topics for the workshop, that has not to be intended as exhaustive, is reported below.

********  Topics ********
Integration of biomedical databases and sources
High Performance Computing architectures and/or applications for omics data
Parallel Machine Learning approaches for personalized medicine
Next-Generation Sequencing data analysis and interpretation
noSQL databases in healthcare
Big data analytics for omics data
Data privacy and security in healthcare
Clinical decision support systems, Healthcare Systems
Models for clinic and genetic data


********  General Co-chairs ********
Fabio Fassetti
DIMES, University of Calabria
Simona E. Rombo
DMI, University of Palermo