Towards machine learning for hydrogel drug delivery systems

Towards machine learning for hydrogel drug delivery systems

Hydrogel drug delivery system development is complex and laborious, and machine learning (ML) techniques hold great promise in accelerating the process. We highlight recent advances and strategies for data collection and ML, and we discuss the potential for and barriers to the broader use of ML for...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Trends in biotechnology (Regular ed.) 2023-04, Vol.41 (4), p.476-479
Hauptverfasser: Owh, Cally, Ho, Dean, Loh, Xian Jun, Xue, Kun
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Artificial Intelligence
Biomedical materials
Data collection
Data mining
Datasets
Drug delivery
Drug delivery systems
Fuzzy logic
hydrogel
Hydrogels
Learning algorithms
Libraries
Machine Learning
Neural networks
Peptides
Polymers
Proteins
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Hydrogel drug delivery system development is complex and laborious, and machine learning (ML) techniques hold great promise in accelerating the process. We highlight recent advances and strategies for data collection and ML, and we discuss the potential for and barriers to the broader use of ML for hydrogel drug delivery systems.
ISSN:0167-7799
1879-3096
DOI:10.1016/j.tibtech.2022.09.019