The Environmental Sensors Workshop is aimed at Discuss the optimal solutions to collect environmental data from existing infrastructure, sensors grids, and open data already available in the involved cities (i.e. Lisbon, Madrid, Turin, and Pavia) Find the best solutions to enhance and integrate environmental data infrastructures with novel sensors Define synergies and collaboration paths with […]
Aim of the event is to gather feedback from a panel of experts, patients and families associations and from the audience on the initial BRAINTEASER solution and to build relationships with relevant stakeholders and other projects and initiatives. Stay tuned for additional information about the workshop and the registration facilities!
On Monday 4th October 2021 13.00-14.00 CET BRAINTEASER meets ETHE, RADAR-AD and AI-Mind projects to identify similarities in related project objectives, assess value and areas for further exchanges and cooperation. Stay tuned for future hookup activities!
The project’s scientific coordinator Dr Barbara Di Camillo (UNIPD), within the panel dedicated to Diversity and Inclusion, will present “Facing COVID Health Disparities in Health Care of ALS and MS patients: The BRAINTEASER experience”.
BRAINTEASER is a data science project that seeks to exploit the value of large clinical datasets integrated with personal and environmental data collected through low-cost sensors, to develop AI-based clinical software and mobile apps to support patients with amyotrophic lateral sclerosis and multiple sclerosis and their clinicians. The series of four Focus Group online workshops […]
Nicola Ferro, full professor at the University of Padua, will present the BRAINTEASER First Open Evaluation Challenge - IDPP@CLEF 2022 - at the The European conference on Information Retrieval and Information Access, 10-14 April 2022, Stavanger (Norway)
Manuel Ottaviano, Senior Research Manager, Digital Health and Wellbeing - Universitad Politécnica de Madrid, will present the BRAINTEASER experience at the The Digital Healthcare Show, 18-19 May 2022, London (UK)
On May 27th 2022 Arianna Dagliati, University of Pavia, will contribute to the panel discussion “Explainability, Causability, Causality, Reliability: The many facets of ``good'' explanations in XAI for health (Enea Parimbelli, Arianna Dagliati, Brent Mittlestadt, Riccardo Guidotti, Niels Peek, Andreas Holzinger)” at MIE 2022. The focus of Arianna's talk will be on "reliability": When a […]