Evidence map›Paper›PMID 42494802›Full record

ArticleNAM journal2026

Strategic integration of 3D Cell culture and regenerative biomedical technologies in India's biomedical ecosystem: Aligning with the global transition toward human-relevant drug development.

Prajakta Dandekar, Ratnesh Jain, Surat Parvatam, Viraj Mehta

Abstract read
In one paragraph

Article in NAM journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Prajakta DandekarDepartment of Pharmaceutical Sciences and Technology, Institute of Chemical Technology, Mumbai, India.
Ratnesh JainDepartment of Biological Sciences and Biotechnology, Institute of Chemical Technology, Mumbai, India.
Surat ParvatamHumane World for Animals India, Hyderabad, India.
Viraj MehtaSai Life Sciences, Hyderabad, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional (3D) cell-culture and organ-mimetic systems are transforming biomedical research by offering physiologically relevant models for drug screening, toxicology and regenerative medicine. With enactment of the U.S. FDA Modernization Act 2.0 (2022) and the introduction of Act 3.0 (2024), the European Medicines Agency (EMA)'s endorsement of new approach methodologies (NAMs) and UK government's roadmap to replace animal testing (2025) the regulatory science has shifted toward human-relevant models. However, the development of these technologies in India remains limited to a few leading institutes. This manuscript presents a perspective on adoption of a national strategy for popularizing 3D culture and regenerative biomedical solutions within Indian institutions, with the long-term goal of integrating them into the central drugs standard control organisation (CDSCO), biotechnology for economy, environment, and employment (BioE3) and anusandhan national research foundation (ANRF) mandates, thus aligning them with the India Vision 2047. It reviews Indian and global landscape, identifies skill and infrastructure gaps, and proposes policy and implementation frameworks, emphasizing on capacity building, regulatory incentives and industry-academia collaboration. A roadmap for establishing regional hubs and harmonized standards has been proposed to enable India to emerge as a Global South leader in ethical and cost-effective alternatives-to-animal testing.

Indexed as

3d cell cultureAnimal alternativesMicrophysiological systemsNew approach methods

Identifiers

PMID42494802
PMCPMC13393737

What OpenQuestion holds

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LicenceCC BY
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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.