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Estimating individual treatment effect on disability progression in multiple sclerosis using deep learning

Medicine and Health

Estimating individual treatment effect on disability progression in multiple sclerosis using deep learning

J. R. Falet, J. Durso-finley, et al.

Explore groundbreaking research conducted by Jean-Pierre R. Falet and colleagues that harnesses deep-learning strategies to optimize treatment efficacy in multiple sclerosis. This innovative predictive model not only enhances statistical power in clinical trials but also accelerates therapeutic advancements, ensuring that the most responsive patients are prioritized for treatment.

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