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#machine learning Preprint Oct 2026

Targeted Active Learning for Preference-Based Treatment Effects on Multivariate Outcomes

Treatment efficacy is traditionally demonstrated on the basis of a single primary outcome. However, clinical decision-making usually requires consideration of multiple outcomes, balancing expected benefits against potential risks. The relative value assigned to these outcomes varies substantially from one patient to an...

Lola Giordani, Mathieu Even, Chloé Geoffroy et al. · 0 citations
Open access Aug 2026

Nigro-striatal deficits capture phenoconversion risk in isolated REM sleep behavior disorder

It is demonstrated that phenoconversion in iRBD relates similarly to dopaminergic denervation of the putamen and cell loss in the SN, which opens possibilities for using NM-MRI, which can simultaneously capture dopaminergic and noradrenergic deficits, as an alternative to nuclear imaging techniques when estimating phen...

M. Johansson, A. Baron, R. Gaurav et al. · 0 citations

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