Industry
Lecture & Webinar: Artificial Intelligence and Impact on Future Medicine
Prof. Kurt Zatloukal, National Node Director of BBMRI.at, has invited Visiting Professor Oskar Mencer, founder of Maxeler Technologies and developer of “Multisc ...read moreENRIITC 1st Networking Meeting for Industry Partnerships in RIs
ENRIITC’s 1st virtual e-meeting has been scheduled from 15 October (13:00 – 15:00 CEST) to 16 October (11:30 – 13:30 CEST). The event is being planned ...read moreBBMRI-ERIC and SPIDIA4P Discuss Academia-Industry Partnerships at the European Parliament
Academia-Industry Research Partnership Showcases Role of Standards in Personalised Medicine to European Decision Makers The event organised by BBMRI-ERIC and SPID ...read more
August 2nd, 2021
Revolutionary findings with relevance for diagnostics: Algorithms are declaring war on cancer
Detecting cancer earlier and more precisely: Research at BBMRI.at partner Med Uni Graz paves the way for a completely new use of artificial intelligence in cancer ...read more
February 5th, 2021
BBMRI-ERIC urges collaboration with medtech industry to improve sample collection
2 February 2021 In a joint statement, BBMRI-ERIC’s Strategy & Partnerships Manager Francesco Florindi and Erik Steinfelder, Biobanking Market Developmen ...read more
April 20th, 2022
EU-AMRI formal launch on 5 April
On 5 April 2022, the European Alliance of Medical Research Infrastructures, EU-AMRI was launched in Brussels with a live broadcast. This virtual launch even ...read more
The BBMRI-ERIC Quality Management service is co-funded within ADOPT BBMRI-ERIC, a project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 676550.
The BBMRI-ERIC Quality Management service is co-funded within SPIDIA4P, a project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 733112.
The BBMRI-ERIC Quality Management service is co-funded within SPIDIA4P, a project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 733112.