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Author

J. Fernández-Martínez

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Open access Aug 2026

Identifying candidate therapeutic targets in amyotrophic lateral sclerosis through a transcriptome-wide machine-learning consensus approach for drug repurposing.

The results provide transparent, hypothesis-generating gene, pathway, and compound priorities, but they do not establish biomarkers, therapeutic efficacy, or clinical suitability and require validation in independent cohorts and experimental ALS models.

Enrique J. de Andrés-Galiana, J. Fernández-Martínez, G. Morís · 0 citations
Review Jul 2026

Can Artificial intelligence meaningfully shorten drug discovery timelines? Current evidence, roadblocks and future directions

A critical review is needed to distinguish the stages in which AI can improve search, prioritization, and decision-making from those that remain limited by experimental validation, safety assessment, and clinical evidence generation.

J. Fernández-Martínez · 0 citations

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