Alternatives of Animal Models for Biomedical Research : a Comprehensive Review of Modern Approaches

© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature..

Biomedical research has long relied on animal models to unravel the intricacies of human physiology and pathology. However, concerns surrounding ethics, expenses, and inherent species differences have catalyzed the exploration of alternative avenues. The contemporary alternatives to traditional animal models in biomedical research delve into three main categories of alternative approaches: in vitro models, in vertebrate models, and in silico models. This unique approach to artificial intelligence and machine learning has been a keen interest to be used in different biomedical research. The main goal of this review is to serve as a guide to researchers seeking novel avenues for their investigations and underscores the importance of considering alternative models in the pursuit of scientific knowledge and medical breakthroughs, including showcasing the broad spectrum of modern approaches that are revolutionizing biomedical research and leading the way toward a more ethical, efficient, and innovative future. Models can insight into cellular processes, developmental biology, drug interaction, assessing toxicology, and understanding molecular mechanisms.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - year:2024

Enthalten in:

Stem cell reviews and reports - (2024) vom: 01. März

Sprache:

Englisch

Beteiligte Personen:

Vashishat, Abhinav [VerfasserIn]
Patel, Preeti [VerfasserIn]
Das Gupta, Ghanshyam [VerfasserIn]
Das Kurmi, Balak [VerfasserIn]

Links:

Volltext

Themen:

Alternative approaches
Artificial intelligence
Biomedical research
Ethical landscape
Innovative approach
Journal Article
Review

Anmerkungen:

Date Revised 01.03.2024

published: Print-Electronic

Citation Status Publisher

doi:

10.1007/s12015-024-10701-x

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM369194985