Evidence map›Paper›PMID 41114270›Full record

ReviewACS omega2025

Next-Generation Biomaterials: Design Strategies, Clinical Translation, and the Rise of Intelligent Therapeutic Platforms.

Gayathri Chakrapani, Vishnu Vijay Kumar, Mina Zare

Abstract readReview
In one paragraph

Review in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

3 authors.

Gayathri ChakrapaniAcademy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.
Vishnu Vijay KumarStructural Engineering, Division of Engineering, New York University Abu Dhabi (NYUAD), PO Box 129188, Abu Dhabi 129188, United Arab Emirates.ORCID https://orcid.org/0000-0002-3657-6277
Mina ZareDepartment of Food and Nutrition, Faculty of Agriculture and Forestry, University of Helsinki, 00014 Helsinki, Finland.ORCID https://orcid.org/0000-0001-6167-6141

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomaterials are emerging as dynamic, programmable systems designed to interact with biological environments precisely and purposefully. This review highlights cutting-edge biofabrication strategies for nanostructured scaffolds, stimuli-responsive polymers, bioresorbable metallic and polymeric implants, and smart drug-delivery platforms, linking design principles to functional performance and clinical translation. We discuss design strategies that are converging with artificial intelligence and machine learning to accelerate material discovery, enable property optimization, and advance innovations from laboratory research to clinical use. Persistent scalability, reproducibility, and regulatory approval challenges are assessed alongside emerging, sustainable solutions that prioritize clinical viability. By integrating insights from materials science, bioengineering, and translational medicine, this work envisions intelligent therapeutic platforms capable of delivering safer, more personalized, and future-ready biomedical interventions.

Identifiers

PMID41114270
PMCPMC12529143

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.