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

© 2021 IOP Publishing Ltd..

Nanomedicine has recently experienced unprecedented growth and development. However, the complexity of operations at the nanoscale introduces a layer of difficulty in the clinical translation of nanodrugs and biomedical nanotechnology. This problem is further exacerbated when engineering and optimizing nanomaterials for biomedical purposes. To navigate this issue, artificial intelligence (AI) algorithms have been applied for data analysis and inference, allowing for a more applicable understanding of the complex interaction amongst the abundant variables in a system involving the synthesis or use of nanomedicine. Here, we report on the current relationship and implications of nanomedicine and AI. Particularly, we explore AI as a tool for enabling nanomedicine in the context of nanodrug screening and development, brain-machine interfaces and nanotoxicology. We also report on the current state and future direction of nanomedicine and AI in cancer, diabetes, and neurological disorder therapy.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:16

Enthalten in:

Biomedical materials (Bristol, England) - 16(2021), 5 vom: 05. Aug.

Sprache:

Englisch

Beteiligte Personen:

Hayat, Hasaan [VerfasserIn]
Nukala, Arijit [VerfasserIn]
Nyamira, Anthony [VerfasserIn]
Fan, Jinda [VerfasserIn]
Wang, Ping [VerfasserIn]

Links:

Volltext

Themen:

Artificial intelligence
Biocompatible Materials
Cancer
Deep learning
Journal Article
Machine learning
Nanomedicine
Nanotechnology
Review
Type 1 diabetes

Anmerkungen:

Date Completed 25.02.2022

Date Revised 25.02.2022

published: Electronic

Citation Status MEDLINE

doi:

10.1088/1748-605X/ac15b2

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM328262080