ReviewSmall (Weinheim an der Bergstrasse, Germany)2026
Liquid Metal-Enabled Soft Bioelectronics for Human Health Monitoring.
Review in Small (Weinheim an der Bergstrasse, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Continuous, real-time, and accurate monitoring of human physiological signals is crucial for proactive healthcare and chronic disease management. Traditional rigid sensors, however, face limitations in mechanical compatibility, signal fidelity during dynamic activities and long-term wearability. This review summarizes the recent advancements in liquid metal (LM)-based flexible sensors for human health monitoring, which leverage unique properties to monitor human physiological parameters and overcome the limitations associated with Traditional rigid sensors. The key engineering strategies for LM materials, such as formulation, substrate selection, circuit patterning, printing, and encapsulation, were systematically analyzed. Additionally, this review summarizes LM applications in multi-joint motion, pulse and heart-rate, wound infection, body temperature, sweat, and respiration monitoring. By achieving conformal contact with body surfaces, these sensors enable high-fidelity monitoring of multiple physiological parameters. Furthermore, this review briefly discusses the supporting role of artificial intelligence in data processing and signal interpretation for flexible sensing-based health monitoring. Utilizing LM-based flexible sensors for health monitoring facilitates a shift from passive treatment to predictive healthcare and personalized medicine. Addressing future challenges in human health monitoring, LM-based flexible sensors will overcome monitoring barriers through material and structural innovations. This will enable high-fidelity physiological signal capture without user discomfort, enabling scenario-integrated applications.
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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.