We are delighted to announce that the Heidelberg Institute for Theoretical Studies (http://www.h-its.org), represented by its Molecular and Cell Modelling Group (http://www.h-its.org/mcm), led by Professor Rebecca Wade, who is also the Scientific Director of HITS, has joined CompBioMed as an Associate Partner. We welcome them on board and look forward to extensive and fruitful collaborations…
The IEEE 12th International Conference on eScience will explore the realms where big data and distributed computing fuse into Data Intensive Science.
The joint conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC) is taking place in Tampere, Finland, in June 2017: www.embec2017.org. The meeting is endorsed by IEFMBE (www.ifmbe.org) as we as EAMBES (www.eambes.org). The topics of the conference include all traditional Biomedical Engineering…
Peter Coveney is the co-editor of a Philosophical Transactions of the Royal Society A Theme Issue ‘Multiscale modelling at the physics–chemistry–biology interface’. Read more at the link. Included in the issue are two pieces from Coveney: “Bridging the gaps at the physics–chemistry–biology interface” and “Big data need big theory too”, both available at the link.
The 3rd Workshop on High-Throughput Molecular Dynamics (HTMD) 2016 takes place on Thu 10th – Fri 11th November 2016 in Barcelona at the Barcelona biomedical research park (PRBB). Read more about the workshop here.
Roger Highfield explains why the European Commission has backed a €5 million CompBioMed initiative, which will help to usher in true personalised medicine. Read the blog post on the CompBioMed website here.
Roger Highfield has published an article with “WIRED” on Why we can’t trust ‘blind big data’ to cure the world’s diseases.
Roger Highfield and Peter Coveney have published an article on the Chemistry World website, titled Big data needs big theory”. You can view the article here.
Peter Coveney has written a critique of the blind use of big data in biology on the Science Museum website, titled “Big Data needs Big Theory too”.