Evidence map›Paper›PMID 36754185›Full record

ArticleInternational journal of pharmaceutics2023

Biphasic burst and sustained transdermal delivery in vivo using an AI-optimized 3D-printed MN patch.

Arvind Bagde, Satyanarayan Dev, Lalitha Madhavi K Sriram, Shawn D Spencer, Anilkumar Kalvala, Aakash Nathani, Oluwaseyi Salau, Keb Mosley-Kellum, Harshil Dalvaigari, Swaminathan Rajaraman and 2 more

Open access · greenAbstract read
In one paragraph

Article in International journal of pharmaceutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

20 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
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  3. Article
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  5. Smart micro/nanoneedles for gene delivery.Iranian journal of basic medical sciences · 2026
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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

12 authors at 5 institutions in 1 country.

Arvind BagdeCollege of Pharmacy and Pharmaceutical Sciences, Florida A&M University, Tallahassee, FL, USA.
Satyanarayan DevCollege of Agriculture and Food Sciences, Florida A&M University, Tallahassee, FL 32307, USA. Electronic address: satyanarayan.dev@famu.edu.
Lalitha Madhavi K SriramFlorida State University, Tallahassee, FL 32307, USA.
Shawn D SpencerPhiladelphia College of Osteopathic Medicine, Philadelphia, PA 19131, USA.
Anilkumar KalvalaCollege of Pharmacy and Pharmaceutical Sciences, Florida A&M University, Tallahassee, FL, USA.
Aakash NathaniCollege of Pharmacy and Pharmaceutical Sciences, Florida A&M University, Tallahassee, FL, USA.
Oluwaseyi SalauCollege of Pharmacy and Pharmaceutical Sciences, Florida A&M University, Tallahassee, FL, USA.
Keb Mosley-KellumCollege of Pharmacy and Pharmaceutical Sciences, Florida A&M University, Tallahassee, FL, USA.
Harshil DalvaigariJames S. Rickards High School, Tallahassee, FL 32301, USA.
Swaminathan RajaramanUniversity of Central Florida, Orlando, FL 32816, USA.
Avra KunduUniversity of Central Florida, Orlando, FL 32816, USA.
Mandip SinghCollege of Pharmacy and Pharmaceutical Sciences, Florida A&M University, Tallahassee, FL, USA. Electronic address: mandip.sachdeva@famu.edu.
Florida Agricultural and Mechanical University · USFlorida A&M University - Florida State University College of Engineering · USUniversity of Central Florida · USFlorida State University · USPhiladelphia College of Osteopathic Medicine · US

Funding

Research Project-3: Effectiveness of an eHealth intervention for uptake of cervical cancer screening in Hispanic womenU54MD007582 · NIMHD · FLORIDA AGRICULTURAL AND MECHANICAL UNIV · PI Seth Y Ablordeppey · 2019 to 2026
$28.1M
NIMHD NIH HHS U54 MD007582
6 · The paper itself

Abstract

The objective of the present study was to fabricate microneedles for delivering lipophilic active ingredients (APIs) using digital light processing (DLP) printing technology and quality by design (QbD) supplemented by artificial intelligence (AI) algorithms. In the present study, dissolvable microneedle (MN) patches using ibuprofen (IBU) as a model drug were successfully fabricated with DLP printing technology at ∼ 750 μm height, ∼250 μm base diameter, and tip with radius of curvature (RoC) of ∼ 15 μm. MN patches were comprised of IBU, photoinitiator, Lithium phenyl (2,4,6-trimethylbenzoyl) phosphinate (LAP), polyethylene glycol dimethacrylate (PEGDAMA)550 and distilled water and were developed using the QbD optimization approach. Optimization of print fidelity and needle morphology were achieved using AI implementing a semi-supervised machine learning approach. Mechanical strength tests demonstrated that IBU MNs formed pores both on Parafilm M® and human cadaver skin. IBU-MNs consisting of 0.23 %w/v and 0.49 %w/v LAP with 10 %w/v water showed ∼ 2 mg/cm

Indexed as

Artificial IntelligenceSkinAdministration, CutaneousAnimalsDrug Delivery SystemsHumansIbuprofenNeedlesPharmaceutical PreparationsPrinting, Three-DimensionalRatsTransdermal PatchIbuprofenPharmaceutical Preparations3D printingArtificial intelligenceDissolving microneedlesLAPPhotoinitiatorQuality by design

Identifiers

PMID36754185
PMCPMC10208719
OpenAlexW4319311008

What OpenQuestion holds

Textmetadata
LicenceTDM
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.