Registration Link: https://www.big-data-value.eu/bdv-ppp-going-virtual-how-to-exchange-and-grant-access-to-health-data-in-a-secure-way-approaches-and-recommendations/

Registration Link: https://www.res.es/en/events/14th-users-conference#registration

Registration Link: https://www.res.es/en/events/14th-users-conference#registration 12:10 Monical Caballero (Everis) will be giving an online keynote on DeepHealth at the Spanish Supercomputing Network (RES) 14th Users Conference 

Monica Caballero (EVERIS) and Eduardo Quiñones (BSC) will be participating to the #HiPEAC21 (https://www.hipeac.net/2021/budapest/), in the HeLP-DC: Heterogeneous and Low- Power Data Center Technologies workshop (https://www.hipeac.net/2021/budapest/#/program/sessions/7852/) on Tues. Jan 19th, 9.30 CET. Two talks will be given: General presentation: DeepHealth: Project introduction and overview of current status (speaker: Monica Caballero, everis, Project Coordinator) Technical presentation: Leveraging heterogenous HPC and cloud-based computing infrastructures on the DeepHealth project (speaker: Eduardo Quiñones, BSC)

Intense week in which the combination of lectures and lab exercises will bring participants (1) closer to the use of deep learning and computer vision in tasks related to medical imaging and other medical data, and (2) to high-performance computing to considerably reduce the running times of model-training processes.   Target audience: Master’s degree students in AI/ML/DS and professionals from Industry with previous knowledge on Machine Learning. Linux user experience recommended.   More Information at https://github.com/deephealthproject/winter-school   Registration link: https://www.eventbrite.es/e/deephealth-winter-school-tickets-215923251257

Healthcare is one of the key sectors of global economy, particularly in Europe, where it accounts for 9% of the average GDP. The health sector benefits, directly or indirectly, from most scientific and technological advances, including those originally developed for other non-health related sectors. The use of technology in health is clearly a major driver towards more efficient healthcare, from whom both people and national health service budgets can benefit. European national healthcare systems are generating large biomedical imaging datasets…

The Biomedical Data Anonymization Hackathon will include theoretical sessions (courses) about different methodologies for data anonymization, lab demos of these methods and re-identification exercises to be completed. The hackathon will be held via Zoom and researchers from Fisabio will guide all courses, demos and exercises. Resources for the Hackathon will be made available on Github soon. Tentative schedule Wednesday, April 27th, 2022, 10:00 - 13:00: Theoretical courses Wednesday, April 27th, 2022, 15:00 - 18:00: Demos Thursday, April 28th, 2022, 10:00…