A concise review: the synergy between artificial intelligence and biomedical nanomaterials that empowers nanomedicine.

Hayat, Hasaan; Nukala, Arijit; Nyamira, Anthony; Fan, Jinda; Wang, Ping

Hayat, Hasaan; Nukala, Arijit; Nyamira, Anthony; Fan, Jinda; Wang, Ping.

Affiliation

Hayat H; Precision Health Program,, Michigan State University, East Lansing, MI, United States of America.
Nukala A; Lyman Briggs College, Michigan State University, East Lansing, MI, United States of America.
Nyamira A; Precision Health Program,, Michigan State University, East Lansing, MI, United States of America.
Fan J; Department of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, MD, United States of America.
Wang P; Lyman Briggs College, Michigan State University, East Lansing, MI, United States of America.

Biomed Mater ; 16(5)2021 08 05.

Article in En | MEDLINE | ID: mdl-34280907

Subject(s)

Artificial Intelligence; Biocompatible Materials; Nanostructures; Theranostic Nanomedicine; Algorithms; Animals; Diabetes Mellitus, Type 1/diagnostic imaging; Diabetes Mellitus, Type 1/drug therapy; Humans; Mice; Nanomedicine; Neoplasms/diagnostic imaging; Neoplasms/drug therapy

Key words

artificial intelligence; cancer; deep learning; machine learning; nanomedicine; nanotechnology; type 1 diabetes

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biocompatible Materials / Artificial Intelligence / Nanostructures / Theranostic Nanomedicine Limits: Animals / Humans Language: En Journal: Biomed Mater Journal subject: ENGENHARIA BIOMEDICA Year: 2021 Type: Article Affiliation country: United States

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