ArticleScience advances2023
Battery-free and AI-enabled multiplexed sensor patches for wound monitoring.
Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
What it found
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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.
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.
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Who cites it
46 citing papers in PubMed.
- Artificial intelligence-guided nanozyme engineering for chronic wound healing: from rational design to precision therapeutics.Bioactive materials · 2027Review
- Multimodal smart suture for dynamic postoperative wound monitoring.Bioactive materials · 2026Article
- Additive Manufacturing of Thermochromic Chitosan Hydrogels for Battery-Free Colorimetric Thermal Indication.Polymers · 2026Article
- Efficient fabrication of paper-based microfluidic biosensors incorporating laser-induced graphene for label-free electrochemical immunoassays.Mikrochimica acta · 2026Article
- Advances and Challenges in Wearable Sensors for Health Monitoring.ACS applied materials & interfaces · 2026Review
- Continuum tactile sensing via an amplified liquid metal interface.Science advances · 2026Article
- Advancements in Smart Wound Dressings: Leveraging Sensor Technology for Real-Time Wound Monitoring and Management.Plastic surgery (Oakville, Ont.) · 2026Review
- Review
- Ionic-Bionic Interfaces: Advancing Iontronic Strategies for Bioelectronic Sensing and Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Stimuli-Responsive Nanomaterial-Based Biosensor Structures for Wound Care: pH, ROS, and Temperature Sensing Strategies.Micromachines · 2026Review
- Smart patches for healthcare industry: a review of emerging technologies, challenges, and developmental opportunities.Biomedical engineering online · 2026Review
- Infection-driven proliferative phase impairment in chronic wounds: a mechanistic framework for precision regenerative therapy.Frontiers in immunology · 2026Review
- Smart Dressings for Pre-Ulcer Risk Surveillance and Closed-Loop Chronic Wound Management: Advances, Discrepancies, and Translational Horizons.International journal of nanomedicine · 2026Review
- Gold Nanoturf-Mediated Wireless Photothermal Upregulation of Human Adipose-Derived Stem Cell Spheroids for Synergistic Skin-Wound Closure.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Intelligent Biosensors Based on Hyaluronic Acid Hydrogels for Monitoring Chronic Wound Healing with the Involvement of Artificial Intelligence.Biosensors · 2025Review
- Review
- [Researches and clinical translation of smart dressings].Zhonghua shao shang yu chuang mian xiu fu za zhi · 2025Review
- Soft bioelectronics embedded with self-confined tetrahedral DNA circuit for high-fidelity chronic wound monitoring.Nature communications · 2025Article
- Roll-To-Roll Production of Smart Dressings for Wound Monitoring.Advanced healthcare materials · 2025Article
- Microfluidic technologies for wearable and implantable biomedical devices.Lab on a chip · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Wound healing is a dynamic process with multiple phases. Rapid profiling and quantitative characterization of inflammation and infection remain challenging. We report a paper-like battery-free in situ AI-enabled multiplexed (PETAL) sensor for holistic wound assessment by leveraging deep learning algorithms. This sensor consists of a wax-printed paper panel with five colorimetric sensors for temperature, pH, trimethylamine, uric acid, and moisture. Sensor images captured by a mobile phone were analyzed by neural network-based machine learning algorithms to determine healing status. For ex situ detection via exudates collected from rat perturbed wounds and burn wounds, the PETAL sensor can classify healing versus nonhealing status with an accuracy as high as 97%. With the sensor patches attached on rat burn wound models, in situ monitoring of wound progression or severity is demonstrated. This PETAL sensor allows early warning of adverse events, which could trigger immediate clinical intervention to facilitate wound care management.
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Registered trials
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.