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Addressing antimicrobial resistance with the IDentif.AI platform: Rapidly optimizing clinically actionable combination therapy regimens against nontuberculous mycobacteria.
Mukherjee, Devika; Wang, Peter; Hooi, Lissa; Sandhu, Vedant; You, Kui; Blasiak, Agata; Chow, Edward Kai-Hua; Ho, Dean; Ee, Pui Lai Rachel.
Affiliation
  • Mukherjee D; Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore 117545.
  • Wang P; The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117456.
  • Hooi L; The N.1 Institute for Health (N.1), National University of Singapore, Singapore 117456.
  • Sandhu V; Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore 117583.
  • You K; Cancer Science Institute of Singapore, National University of Singapore, Singapore 117599.
  • Blasiak A; Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore 117545.
  • Chow EK; The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117456.
  • Ho D; The N.1 Institute for Health (N.1), National University of Singapore, Singapore 117456.
  • Ee PLR; Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore 117583.
Theranostics ; 12(16): 6848-6864, 2022.
Article de En | MEDLINE | ID: mdl-36276648

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Mycobacterium abscessus / Mycobactéries non tuberculeuses Type d'étude: Prognostic_studies Limites: Humans Langue: En Journal: Theranostics Année: 2022 Type de document: Article

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Mycobacterium abscessus / Mycobactéries non tuberculeuses Type d'étude: Prognostic_studies Limites: Humans Langue: En Journal: Theranostics Année: 2022 Type de document: Article