Evidence map›Paper›PMID 38429620›Full record

ReviewStem cell reviews and reports2024

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

Abhinav Vashishat, Preeti Patel, Ghanshyam Das Gupta, Balak Das Kurmi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Stem cell reviews and reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
49.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 77 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Abhinav VashishatDepartment of Pharmaceutics, ISF College of Pharmacy, GT Road, Moga, 142001, Punjab, India.
Preeti PatelDepartment of Pharmaceutical Chemistry, ISF College Pharmacy, GT Road, Moga, 142001, Punjab, India. ppatelpharma@gmail.com.
Ghanshyam Das GuptaDepartment of Pharmaceutics, ISF College of Pharmacy, GT Road, Moga, 142001, Punjab, India.
Balak Das KurmiDepartment of Pharmaceutics, ISF College of Pharmacy, GT Road, Moga, 142001, Punjab, India. bdkurmi@gmail.com.ORCID 0000-0001-8470-6622
Indo Soviet Friendship College of Pharmacy · IN

Funding

Indian Council of Medical Research File No.: 67/05/2022-DDI/BMSIndian Council of Medical Research IRIS ID: 2021-10997Indian Council of Medical Research RFC No.: BMS/Adhoc/121/2022-23
6 · The paper itself

Abstract

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.

Indexed as

Biomedical ResearchAnimalsArtificial IntelligenceHumansModels, AnimalAlternative approachesArtificial intelligenceBiomedical researchEthical landscapeInnovative approach

Identifiers

PMID38429620
OpenAlexW4392388837

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.