Revisit one of the key bioinformatics events in Europe in this short video (2min30):

Turning Big Data into clinically relevant knowledge

How can we turn Big Data into clinically relevant knowledge? While everybody in the field agrees on the great potential that exists in the amount of Big Data that is being generated, for SIB’s Erik Van Nimwegen (University of Basel) – co-chair of the [BC]2 Basel Computational Biology Conference’s Scientific Committee – there is a strong need for cutting-edge computational methods to truly harness its power. This is particularly true in the field of medicine and health, where data are characterized by their high degree of complexity and the diversity of data types.

An ideal multidisciplinary knowledge platform

The international [BC]2 conference offered an ideal multidisciplinary knowledge exchange platform to this end: organized by SIB since 2003 in Basel, Switzerland, and held this year in September in the context of the Basel Life congress, around the theme of Big Data in Molecular Medicine, it welcomed students, early-career researchers, world experts and private-sector scientists from 30 countries, to update their knowledge about the latest trends in the field. For Roy Kishony (Technion, Israel Institute of Technology), keynote speaker at [BC]2 2019, such events are key to enabling the future of digital health and medicine, which will be much more data driven, predictive, personalized and proactive.

From cutting-edge tools to clinically relevant applications

Machine- and deep learning, single-cell sequencing, metabolomics and phylodynamics are some of the tools and methods used and developed by computational biologists and bioinformaticians in the field: their promising applications to predict the onset of cancer, identify biomarkers, tackle antibiotic resistance or track the evolution of pathogens were presented and discussed during hands-on workshops, flash talks, poster sessions and keynote presentations.

A springboard for data science excellence

The [BC]2 Conference also acts as a springboard to foster excellence in data science, as illustrated by the SIB Bioinformatics Awards Ceremony, which highlighted the work of two promising early-career scientists, as well as an innovative resource. With 23% of its participants in 2019 being BSc, MSc or PhD students, and with women representing over 43% of the scientists attending, the Conference fulfilled its goal of fostering cross-generational exchanges – by bringing early-career scientists together with senior experts – and promoting women in science.

The next [BC]2 Conference will take place in 2021, from 31 August to 2 September: save the date in your calendar!