Evidence map›Paper›PMID 39388081›Full record

ReviewStem cell reviews and reports2025

Biological Scaffolds in 3D Cell Models: Driving Innovation in Drug Discovery.

Raj Dave, Kshipra Pandey, Ritu Patel, Nidhi Gour, Dhiraj Bhatia

Abstract readReview
PubMed Publisher
In one paragraph

Review in Stem cell reviews and reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

5 authors.

Raj Dave *Department of Chemistry, Indrashil University, Kadi, Mehsana, Gujarat, India.
Kshipra Pandey *Department of Biosciences, Indrashil University, Kadi, Mehsana, Gujarat, India.
Ritu PatelDepartment of Biosciences, Indrashil University, Kadi, Mehsana, Gujarat, India.
Nidhi GourDepartment of Chemistry, Indrashil University, Kadi, Mehsana, Gujarat, India. gournidhi@gmail.com.
Dhiraj BhatiaDepartment of Biological Engineering Discipline, Indian Institute of Technology, Palaj, 382355, Gujarat, India. dhiraj.bhatia@iitgn.ac.in.ORCID 0000-0002-1478-6417

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discipline of 3D cell modeling is currently undergoing a surge of captivating developments that are enhancing the realism and utility of tissue simulations. Using bioinks which represent cells, scaffolds, and growth factors scientists can construct intricate tissue architectures layer by layer using innovations like 3D bioprinting. Drug testing can be accelerated and organ functions more precisely replicated owing to the precise control that microfluidic technologies and organ-on-chip devices offer over the cellular environment. Tissue engineering is becoming more dynamic with materials that can modify their surroundings with the advent of hydrogels and smart biomaterials. Advances in spheroids and organoids are not only bringing us towards more effective and customized therapies, but they are also improving their ability to resemble actual human tissues. Confocal and two-photon microscopy are examples of advanced imaging methods that provide precise images of the functioning and interaction of cells. Artificial Intelligence models have applications for enhanced scaffold designs and for predicting the response of tissues to medications. Furthermore, via strengthening predictive models, optimizing data analysis, and simplifying 3D cell culture design, artificial intelligence is revolutionizing this field. When combined, these technologies are improving our ability to conduct research and moving us toward more individualized and effective medical interventions.

Indexed as

Cell Culture Techniques, Three DimensionalDrug DiscoveryModels, BiologicalTissue ScaffoldsAnimalsBioprintingHumansPrinting, Three-DimensionalTissue Engineering3D cell cultureBiological scaffoldsBiomedical engineeringCancer microenvironmentDrug discoveryExtra cellular matrixHydrogelsTissue engineering

Identifiers

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.