Evidence map›Paper›PMID 41882132›Full record

ReviewNature2026

Towards intelligent and miniaturized drug delivery devices.

Xinwei Wei, John B Buse, Hongming Chen, Tejal A Desai, Molly M Stevens, Giovanni Traverso, Robert Langer, Zhen Gu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Biointegrated Battery-Based Electroceuticals.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. 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

8 authors.

Xinwei WeiState Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou, China.ORCID 0000-0003-3058-2817
John B BuseDepartment of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA.ORCID 0000-0002-9723-3876
Hongming ChenState Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou, China.
Tejal A DesaiSchool of Engineering, Brown University, Providence, RI, USA.ORCID 0000-0003-3409-9208
Molly M StevensDepartment of Physiology, Anatomy and Genetics, Department of Engineering Science and Kavli Institute for Nanoscience Discovery, University of Oxford, Oxford, UK.ORCID 0000-0002-7335-266X
Giovanni TraversoDivision of Gastroenterology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-7851-4077
Robert LangerDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0003-4255-0492
Zhen GuState Key Laboratory of Advanced Drug Delivery and Release Systems, School of Pharmacy, Zhejiang University, Hangzhou, China. guzhen@zju.edu.cn.ORCID 0000-0003-2947-4456

Funding

Regulation of epithelial function using targeted nanowiresR01HL158979 · NHLBI · EMORY UNIVERSITY · PI DESAI, TEJAL A., KOVAL, MICHAEL H. · 2022 to 2025
$2.5M
NHLBI NIH HHS R01 HL158979
6 · The paper itself

Abstract

Advances at the intersection of biotechnology, artificial intelligence, electronics and materials science are reshaping how drugs can be delivered inside the body. Intelligent and miniaturized drug delivery devices (IMDDDs) leverage these technologies to achieve precise pharmacokinetics, targeted distribution and programmable release while minimizing toxicity and improving patient adherence. Unlike conventional approaches, IMDDDs can incorporate real-time sensing and adaptive control, enabling drug administration that is more precise and more responsive to dynamic physiological conditions. In this Review, we outline key categories and design principles, highlight artificial intelligence technologies for augmenting performance, discuss potential clinical applications across cancer, diabetes, cardiovascular disease, vaccination and beyond, and examine translation challenges and opportunities. By uniting engineering innovation with medical need, IMDDDs exemplify the next generation of drug delivery technologies.

Indexed as

Drug Delivery SystemsMiniaturizationAnimalsArtificial IntelligenceCardiovascular DiseasesHumansNeoplasms

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.