Artificial intelligence and machine learning in nanomedicine. What do we expect for 2030?-Reference-Cited by-同舟云学术

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Artificial intelligence and machine learning in nanomedicine. What do we expect for 2030?

Published:2023-07 Issue:16 Volume:18 Page:1041-1043
ISSN:1743-5889
Container-title:Nanomedicine
language:en
Short-container-title:Nanomedicine

Author:

Figueiró Longo João Paulo¹^ORCID,Narcizo de Souza Paulo Eduardo²^ORCID,Morais Paulo César²³^ORCID

Affiliation:

1. Department of Genetics and Morphology, Institute of Biological Sciences, University of Brasília, 70910-900, Brasília, Brazil

2. Institute of Physics, University of Brasília, Brasília, 70910-900, Brazil

3. Biotechnology and Genomic Sciences, Catholic University of Brasília, Brasília, 70790-160, Brazil

Funder

Fundação de Apoio à Pesquisa do Distrito Federal

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Future Medicine Ltd

Subject

Development,General Materials Science,Biomedical Engineering,Medicine (miscellaneous),Bioengineering

Link

https://www.futuremedicine.com/doi/pdf/10.2217/nnm-2023-0084

Reference12 articles.

1. Probing the psychology of AI models

2. Human heuristics for AI-generated language are flawed

3. In silico modelling of cancer nanomedicine, across scales and transport barriers

4. Artificial intelligence to deep learning: machine intelligence approach for drug discovery

5. Machine learning for next-generation nanotechnology in healthcare

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Nanotechnological innovations in dermo-cosmetics: lessons for nanomedicine advancement;Nanomedicine;2024-07-02

2. The artificial intelligence and design of experiment assisted in the development of progesterone-loaded solid-lipid nanoparticles for transdermal drug delivery;Pharmacia;2024-06-06

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