The BRAINTEASER project, bringing Artificial Intelligence home for a better care of amyotrophic lateral sclerosis and multiple sclerosis, kicks off today!

Officially started on the 1^st January 2021, the H2020 BRAINTEASER project launches today its operational activities. The project’s kick off meeting, organised in two days January 28^thand 29^th 2021, will gather together the project’s partners, a multidisciplinary gender-balanced consortium from academia, industry, clinical settings and the non-profit sector, active in six European Countries.

The BRAINTEASER project, that involves 11 partners and is led by the Universidad Politécnica de Madrid, will face the ambitious challenge of using Artificial Intelligence (AI) systems to process data gathered from patients affected by Multiple Sclerosis (MS) and Amyotrophic Lateral Sclerosis (ALS) to make patients’ management more efficient and effective and to develop models able to predict the disease progression.

READ THE EVERYTHING @ EU INSIDER:

The BRAINTEASER project, bringing Artificial Intelligence home for a better care of amyotrophic lateral sclerosis and multiple sclerosis, kicked off!

BRAINTEASER has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No GA 101017598

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@ SIGKDD 2020 – Remote

Paper accepted and presented at SIGKDD workshop 19th International Workshop on Data Mining in Bioinformatics (BIOKDD’20):

Learning Prognostic Models using Disease Progression Patterns: Predicting the Need for Non-Invasive Ventilation in Amyotrophic Lateral Sclerosis A S Martins, M Gromicho, S Pinto, M de Carvalho, S C MadeiraACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD’20)

CIRCLES General Assembly: first milestones achieved!

On 28th April CIRCLES project partners were meeting (as per the new normal online) for their first General Assembly.

READ ABOUT HERE: https://circlesproject.eu/circles-general-assembly/

@SIGKDD 2019 – Alasca, USA

25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

https://www.kdd.org/kdd2019/

Best Student Paper Award @ KDD Workshop DSHealth 2019

Telma Pereira, Sofia Pires, Marta Gromicho, Susana Pinto, Mamede de Carvalho and Sara C. Madeira. Predicting assisted ventilation in Amyotrophic Lateral Sclerosis using a mixture of experts and conformal predictors was selected as the best student paper by the KDD 2019 Workshop on Applied Data Science for Healthcare (DSHealth 2019). 

Invited Talk @ ESCI-2019 – Session Bioinformatics and Machine Learning in Biomedicine

Invited talk “Predicting disease progression in Amyotrophic Lateral Sclerosis using Machine Learning: Learning from longitudinal data using time windows and progression patterns”, 53rd Annual Scientific Meeting of the ESCI (European Society for Clinical Investigation) – ESCI-2019,  Session Bioinformatics and Machine Learning in Biomedicine, 22nd May, Coimbra, Portugal.

Project manager of Lisbon Urban Data Laboratory @ FCUL

LxDataLab is a project resulting from a partnership between the Municipality of Lisbon and several higher education and research establishments. Its mission is to create analytics and data visualization solutions supported in Big Data, able to improve planning and operation and emergency management in the city of Lisbon, contributing to the sustainable improvement of resilience and quality of life of those who live or work in Lisbon, or just visit the city.

 

@ICDM – Singapore

18th IEEE International Conference on Data Mining

Paper accepted at IEEE ICDM DMBIH 2018: DMBIH’18 – The Sixth Workshop on Data Mining in Biomedical Informatics and Healthcare @ IEEE International Conference on Data Mining 2018

Sofia Pires, Marta Gromicho, Susana Pinto , Manuela Guerreiro, Mamede de Carvalho and Sara C. Madeira, “Predicting Non-Invasive Ventilation in ALS Patients using Stratified Disease Progression Groups”, accepted for publication at DMBIH’18 – The Sixth Workshop on Data Mining in Biomedical Informatics and Healthcare @ IEEE International Conference on Data Mining 2018.

@KDD 2018 – London, UK

24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

https://www.kdd.org/kdd2018/