Artificial intelligence and machine learning in Leishmania drug discovery

Diéguez-Santana, Karel; Mazón-Ortiz, Gabriel; Cerda-Mejía, Galo; Ruso, Juan M.

doi:10.3390/mol2net-08-13888

Proceedings of MOL2NET'22, Conference on Molecular, Biomedical &Amp; Computational Sciences and Engineering, 8th Ed. - MOL2NET: 2022

DOI: 10.3390/mol2net-08-13888

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Artificial intelligence and machine learning in Leishmania drug discovery

Karel Diéguez-Santana

Gabriel Mazón-Ortiz

Galo Cerda-Mejía

et al.

Abstract: Leishmaniasis is a vector-borne parasite that affects 700,000-1 million people and kills 26,000-65,000 annually. This work presents a brief, comprehensive review of AI/ML studies MOL2NET, 2022, 8,

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Artificial intelligence and machine learning in Leishmania drug discovery

Abstract: Leishmaniasis is a vector-borne parasite that affects 700,000-1 million people and kills 26,000-65,000 annually. This work presents a brief, comprehensive review of AI/ML studies MOL2NET, 2022, 8,

Cited by 0 publications

References 28 publications

No citations

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