PRECISION ALS-an integrated pan European patient data platform for ALS

Robert McFarlane, Miriam Galvin, Mark Heverin, Éanna Mac Domhnaill, Deirdre Murray, Dara Meldrum, Peter Bede, Anthony Bolger, Lucy Hederman, Sinéad Impey, Gaye Stephens, Ciara O'Meara, Vincent Wade, Ammar Al-Chalabi, Adriano Chiò, Phillippe Corcia, Philip van Damme, Caroline Ingre, Christopher McDermott, Monica PovedanosLeonard van den Berg, Orla Hardiman*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Amyotrophic Lateral Sclerosis (ALS) is an incurable neurodegenerative condition. Despite significant advances in pre-clinical models that enhance understanding of disease pathobiology, translation of candidate drugs to effective human therapies has been disappointing. There is increasing recognition of the need for a precision medicine approach toward drug development, as many failures in translation can be attributed in part to disease heterogeneity in humans. PRECISION-ALS is an academic industry collaboration between clinicians, Computer Scientists, Information engineers, technologists, data scientists and industry partners that will address the key clinical, computational, data science and technology associated research questions to generate a sustainable precision medicine based approach toward new drug development. Using extant and prospectively collected population based clinical data across nine European sites, PRECISION-ALS provides a General Data Protection Regulation (GDPR) compliant framework that seamlessly collects, processes and analyses research-quality multimodal and multi-sourced clinical, patient and caregiver journey, digitally acquired data through remote monitoring, imaging, neuro-electric-signaling, genomic and biomarker datasets using machine learning and artificial intelligence. PRECISION-ALS represents a first-in-kind modular transferable pan-European ICT framework for ALS that can be easily adapted to other regions that face similar precision medicine related challenges in multimodal data collection and analysis.

Original languageEnglish
Pages (from-to)389-393
Number of pages5
JournalAmyotrophic Lateral Sclerosis & Frontotemporal Degeneration
Volume24
Issue number5-6
Early online date23 May 2023
DOIs
Publication statusPublished - Aug 2023

Keywords

  • amyotrophic lateral sclerosis
  • data science
  • Precision medicine
  • scientific collaboration

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