Evidence map›Paper›PMID 41566798›Full record

ArticleAdvanced healthcare materials2026

Precise Control of Drug Release in Machine Learning-Designed Antibody-Eluting Implants for Postoperative Scarring Inhibition in Glaucoma.

Mengqi Qin, Wenbing Jiang, Kai Xin Thong, Zeynep Ulker, Brihitejas Patel, Cynthia Yu-Wai-Man

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced healthcare materials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Mengqi QinFaculty of Life Sciences and Medicine, King's College London, London, UK.
Wenbing JiangFaculty of Life Sciences and Medicine, King's College London, London, UK.
Kai Xin ThongFaculty of Life Sciences and Medicine, King's College London, London, UK.
Zeynep UlkerFaculty of Life Sciences and Medicine, King's College London, London, UK.
Brihitejas PatelFaculty of Life Sciences and Medicine, King's College London, London, UK.
Cynthia Yu-Wai-ManFaculty of Life Sciences and Medicine, King's College London, London, UK.ORCID https://orcid.org/0000-0003-4868-5187

Funding

Medical Research Council MR/T027932/1Medical Research Council MR/Z504841/1
6 · The paper itself

Abstract

We have developed a scalable, smart subconjunctival micro-cylindrical implant system composed of polycaprolactone (PCL) and polyethylene glycol (PEG) for sustained delivery of basic fibroblast growth factor monoclonal antibody (FGFb mAb), a promising anti-fibrotic agent. This delivery platform allows precise prediction of drug release profiles through machine learning analysis based on key fabrication parameters, such as polymer composition, implant dimension, and drug content. Among the tested machine learning algorithms, LightGBM outperforms others in predicting drug release kinetics (R

Indexed as

Antibodies, MonoclonalCicatrixDrug ImplantsGlaucomaMachine LearningAnimalsDrug LiberationFibroblast Growth Factor 2MalePolyestersPolyethylene GlycolsPolylactic Acid-Polyglycolic Acid CopolymerRatsRats, Sprague-DawleyAntibodies, MonoclonalDrug ImplantsFibroblast Growth Factor 2polycaprolactonePolyestersPolyethylene GlycolsPolylactic Acid-Polyglycolic Acid Copolymerdrug deliveryglaucoma filtration surgerymachine learningmonoclonal antibodiesophthalmologypharmacologypolymers

Identifiers

PMID41566798
PMCPMC13058792

What Socratic 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 Socratic graph.