Evidence map›Paper›PMID 40947722›Full record

ReviewCurrent drug targets2025

Personalised Transdermal Therapy for Chronic Pain with Digital Twin Technology.

Sejal Porwal, Rishabha Malviya, Sathvik Belagodu Sridhar, Javedh Shareef, Musarrat Husain Warsi, Tarun Wadhwa

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current drug targets, 2025. 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. 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

6 authors.

Sejal PorwalDepartment of Pharmacy, School of Medical and Allied Sciences, Galgotias University, Greater Noida, 201308, U.P., India.
Rishabha MalviyaDepartment of Pharmacy, School of Medical and Allied Sciences, Galgotias University, Greater Noida, 201308, U.P., India.ORCID 0000-0003-2874-6149
Sathvik Belagodu SridharRAK College of Pharmacy, RAK Medical & Health Sciences University, Ras Al Khaimah, United Arab Emirates.
Javedh ShareefRAK College of Pharmacy, RAK Medical & Health Sciences University, Ras Al Khaimah, United Arab Emirates.
Musarrat Husain WarsiDepartment of Pharmaceutics and Industrial Pharmacy, College of Pharmacy, Taif University, Taif, 21944, Saudi Arabia.
Tarun WadhwaRAK College of Pharmacy, RAK Medical & Health Sciences University, Ras Al Khaimah, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital twin technology has emerged as a breakthrough development in healthcare, providing personalised transdermal drug delivery systems for chronic pain treatment. Digital twins provide accurate, customised therapy to enhance therapeutic outcomes and reduce risks by combining patient-specific computational models. This article aims to explore the applicability of digital twin technology in improving the transdermal delivery of drugs for successful chronic pain management. It is enabling personalised treatment through patient-specific simulations. By integrating physiological data with computational models, digital twins optimise drug absorption, patch application, and dosage adjustments in real-time, enhancing therapeutic outcomes while minimising side effects. Recent advancements highlight improvements in fentanyl patch optimisation, site-specific drug delivery, and thermally controlled systems. However, challenges such as ethical concerns, data security, and standardisation need to be addressed. Future research should focus on integrating AI and IoT to refine digital twin applications in precision medicine. It can be concluded from the findings of various studies that digital twin technology offers a promising future for precise and individualised transdermal drug delivery in chronic pain, paving the way for safer and more effective therapeutic interventions.

Indexed as

Chronic PainDrug Delivery SystemsPrecision MedicineAdministration, CutaneousHumansPain ManagementTransdermal PatchChronic painchronic pain managementfentanyl patchesnoninvasive drug delivery.personalised medicinetransdermal drug delivery

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.