Drug screen and machine learning predict neuroprotective agents in a preclinical human model of childhood dementia.

Zarina Greenberg; Ella McDonald; Alejandra Noreña Puerta; Manam Inushi De Silva; Cade Christensen; Robert Adams; Jenne Tran; Paris Mazzachi; Sebastian Loskarn; Siti N Mubarokah; Leanne Winner; Drew Neavin; Megan Maack; Kristina L Elvidge; Lisa Melton; Mark R Hutchinson; Kim M Hemsley; Nicholas Smith; Cedric Bardy

doi:10.1038/s41467-026-76837-1

SCHEDA SCIENTIFICA2026Altra ricerca

Drug screen and machine learning predict neuroprotective agents in a preclinical human model of childhood dementia.

Zarina Greenberg, Ella McDonald, Alejandra Noreña Puerta, Manam Inushi De Silva, Cade Christensen, Robert Adams, Jenne Tran, Paris Mazzachi, Sebastian Loskarn, Siti N Mubarokah, Leanne Winner, Drew Neavin, Megan Maack, Kristina L Elvidge, Lisa Melton, Mark R Hutchinson, Kim M Hemsley, Nicholas Smith, Cedric Bardy

Nature communications · 2026

Psicologia clinica Psicologia cognitiva Psicologia infantile

Abstract e pubblicazione originale

L’abstract è consultabile nella fonte originale. Non viene ripubblicato qui perché non risulta verificata una licenza compatibile.

Leggi nella fonte originale ↗

Parole chiave

HumansNeuroprotective AgentsInduced Pluripotent Stem CellsDrug Evaluation, PreclinicalMucopolysaccharidosis IIIChildMachine LearningDementiaLysosomesDrug RepositioningFemaleHeparan Sulfate

Come citare questo studio

Zarina Greenberg, Ella McDonald, Alejandra Noreña Puerta, Manam Inushi De Silva, Cade Christensen, Robert Adams, Jenne Tran, Paris Mazzachi, Sebastian Loskarn, Siti N Mubarokah, Leanne Winner, Drew Neavin, Megan Maack, Kristina L Elvidge, Lisa Melton, Mark R Hutchinson, Kim M Hemsley, Nicholas Smith, Cedric Bardy. (2026). Drug screen and machine learning predict neuroprotective agents in a preclinical human model of childhood dementia.. Nature communications. DOI: 10.1038/s41467-026-76837-1

Consulta la pubblicazione originale ↗