Evidence map›Paper›PMID 39544116›Full record

ArticleAdvanced healthcare materials2025

Large Scale Ultrafast Manufacturing of Wireless Soft Bioelectronics Enabled by Autonomous Robot Arm Printing Assisted by a Computer Vision-Enabled Guidance System for Personalized Wound Healing.

Jihyun Kim, Seol-Ha Jeong, Brendan Craig Thibault, Javier Alejandro Lozano Soto, Hiroyuki Tetsuka, Surya Varchasvi Devaraj, Estefania Riestra, Yeongseok Jang, Jeong Wook Seo, Rafael Alejandro Cornejo Rodríguez and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced healthcare materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

18 authors.

Jihyun KimDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02139, USA.
Seol-Ha JeongDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02139, USA.
Brendan Craig ThibaultDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02139, USA.
Javier Alejandro Lozano SotoDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02139, USA.
Hiroyuki TetsukaDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02139, USA.
Surya Varchasvi DevarajElectrical Engineering Department, Indian Institute of Technology Bombay India.
Estefania RiestraDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02139, USA.
Yeongseok JangDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02139, USA.
Jeong Wook SeoDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02139, USA.
Rafael Alejandro Cornejo RodríguezDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02139, USA.
Lucia L HuangDepartment of Anesthesiology, Perioperative and Pain Medicine, Center for Accelerated Medical Innovation and Center for Nanomedicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.ORCID 0009-0005-3591-9978
Yuhan LeeDepartment of Anesthesiology, Perioperative and Pain Medicine, Center for Accelerated Medical Innovation and Center for Nanomedicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Ioana PredaiPrint Institute, HEIA-FR, HES-SO University of Applied Sciences and Arts Western Switzerland, Fribourg, 1700, Switzerland.
Sameer SonkusaleNano Lab, Advanced Technology Laboratory, Tufts University, Medford, MA, 02155, USA.
Lance FiondellaDepartment of Electrical and Computer Engineering, University of Massachusetts- Dartmouth, Dartmouth, MA, 02747, USA.
Jungmok SeoSchool of Electrical and Electronic Engineering, Yonsei University, Seoul, 03722, Republic of Korea.
Lorenzo PirramiiSIS Institute, HEIA-FR, HES-SO University of Applied Sciences and Arts Western Switzerland, Fribourg, 1700, Switzerland.
Su Ryon ShinDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02139, USA.ORCID 0000-0003-0864-6482

Funding

Suturable bioprinted vascularized muscle constructs for treatment of skeletal muscle lossR01AR077132 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI SHIN, SU RYON, TAMAYOL, ALI · 2021 to 2025
$2.6M
Oxygen generating bioinks for 3D printed bone implantsR01AR074234 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI SHIN, SU RYON · 2018 to 2022
$1.9M
Microengineered scaffolds carrying patient-specific cells and growth factors for treatment of volumetric muscle lossR01AR073822 · NIAMS · UNIVERSITY OF NEBRASKA LINCOLN · PI TAMAYOL, ALI · 2018 to 2022
$1.8M
Korea Health Industry Development InstituteMinistry of Health & Welfare, Republic of Korea HI19C1344NIAMS NIH HHS R01 AR073822NIAMS NIH HHS R01 AR074234NIAMS NIH HHS R01 AR077132NIH HHS R01AR073822Swiss National Science Foundation IZSEZ0_205791
6 · The paper itself

Abstract

A Customized wound patch for Advanced tissue Regeneration with Electric field (CARE), featuring an autonomous robot arm printing system guided by a computer vision-enabled guidance system for fast image recognition is introduced. CARE addresses the growing demand for flexible, stretchable, and wireless adhesive bioelectronics tailored for electrotherapy, which is suitable for rapid adaptation to individual patients and practical implementation in a comfortable design. The visual guidance system integrating a 6-axis robot arm enables scans from multiple angles to provide a 3D map of complex and curved wounds. The size of electrodes and the geometries of power-receiving coil are essential components of the CARE and are determined by a MATLAB simulation, ensuring efficient wireless power transfer. Three heterogeneous inks possessing different rheological behaviors can be extruded and printed sequentially on the flexible substrates, supporting fast manufacturing of large customized bioelectronic patches. CARE can stimulate wounds up to 10 mm in depth with an electric field strength of 88.8 mV mm

Indexed as

RoboticsWound HealingFibroblastsHumansHuman Umbilical Vein Endothelial CellsPrecision MedicinePrinting, Three-DimensionalWireless Technologybioelectronicscustomized wound patchelectrical stimulationrobot arm printingvisual guidancewireless power transferwound healing

Identifiers

PMID39544116
PMCPMC11695167

What OpenQuestion holds

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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.