Machine Learning to Predict Drug-Induced Liver Injury and Its Validation on Failed Drug Candidates in Development

Drug-induced liver injury (DILI) poses a significant challenge for the pharmaceutical industry and regulatory bodies. Despite extensive toxicological research aimed at mitigating DILI risk, the effectiveness of these techniques in predicting DILI in humans remains limited. Consequently, researchers...

Descripción completa

Detalles Bibliográficos

Autores principales:	Fahad Mostafa, Victoria Howle, Minjun Chen
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2024-05-01
Colección:	Toxics
Materias:	machine learning drug-induced live injury liver toxicity random forest multilayer perceptron failed drug candidates
Acceso en línea:	https://www.mdpi.com/2305-6304/12/6/385
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!