Machine Learning to Promote Translational Research: Predicting Patent and Clinical Trial Inclusion in Dementia Research

Autor: Beinat, Matilda, Beinat, Julian, Shoaib, Mohammed, Magenti, Jorge Gomez

Projected to impact 1.6 million people in the UK by 2040 and costing {\pounds}25 billion annually, dementia presents a growing challenge to society. This study, a pioneering effort to predict the translational potential of dementia research using mac

Externí odkaz: http://arxiv.org/abs/2401.05145

Machine learning to promote translational research: predicting patent and clinical trial inclusion in dementia research.

Autor: Beinat M; Institute of Psychiatry Psychology and Neuroscience, King's College London, SE5 8AB, London, UK., Beinat J; Independent Researcher, 1071XA, Amsterdam, The Netherlands., Shoaib M; School of Life and Medical Sciences, University of Hertfordshire, AL10 9AB, Hatfield, UK., Magenti JG; Magenti Methodologies, CB4 3JG, Cambridge, UK.

Publikováno v: Brain communications [Brain Commun] 2024 Jul 25; Vol. 6 (4), pp. fcae230. Date of Electronic Publication: 2024 Jul 25 (Print Publication: 2024).