TY - JOUR
T1 - PRECISION ALS-an integrated pan European patient data platform for ALS
AU - McFarlane, Robert
AU - Galvin, Miriam
AU - Heverin, Mark
AU - Mac Domhnaill, Éanna
AU - Murray, Deirdre
AU - Meldrum, Dara
AU - Bede, Peter
AU - Bolger, Anthony
AU - Hederman, Lucy
AU - Impey, Sinéad
AU - Stephens, Gaye
AU - O'Meara, Ciara
AU - Wade, Vincent
AU - Al-Chalabi, Ammar
AU - Chiò, Adriano
AU - Corcia, Phillippe
AU - van Damme, Philip
AU - Ingre, Caroline
AU - McDermott, Christopher
AU - Povedanos, Monica
AU - van den Berg, Leonard
AU - Hardiman, Orla
N1 - Funding Information:
This work is funded by the Science Foundation Ireland grant SP20/SP/8953. OH’s work is also funded from grants 16/RC/3948 and 13/RC/2106_P2.
Publisher Copyright:
© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2023/8
Y1 - 2023/8
N2 - 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.
AB - 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.
KW - amyotrophic lateral sclerosis
KW - data science
KW - Precision medicine
KW - scientific collaboration
UR - http://www.scopus.com/inward/record.url?scp=85160079971&partnerID=8YFLogxK
U2 - 10.1080/21678421.2023.2215838
DO - 10.1080/21678421.2023.2215838
M3 - Article
C2 - 37221648
SN - 2167-8421
VL - 24
SP - 389
EP - 393
JO - Amyotrophic Lateral Sclerosis & Frontotemporal Degeneration
JF - Amyotrophic Lateral Sclerosis & Frontotemporal Degeneration
IS - 5-6
ER -