Evidence mapPaperPMID 42500419Full record

ReviewRSC advances2026

Smart wearable biosensors: a transformative synergy between diagnosis and treatment of disease.

Yachana Misha, Radheshyam Jena, Aman Shukla, Darshan R Telange, Alaa A A Aljabali, Vijay Mishra

Erratum issuedAbstract readReview
In one paragraph

Review in RSC advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Yachana MishaSchool of Bioengineering and Biosciences, Lovely Professional University Phagwara (Punjab)-144411 India.ORCID https://orcid.org/0000-0002-3467-0518
Radheshyam JenaSchool of Pharmaceutical Sciences, Lovely Professional University Phagwara (Punjab) 144411 India vijaymishra2@gmail.com.ORCID https://orcid.org/0000-0003-3444-5916
Aman ShuklaSchool of Pharmaceutical Sciences, Lovely Professional University Phagwara (Punjab) 144411 India vijaymishra2@gmail.com.ORCID https://orcid.org/0009-0000-8051-1289
Darshan R TelangeDatta Meghe College of Pharmacy, Datta Meghe Institute of Higher Education and Research (DMIHER) (DU) Sawangi Meghe Wardha (Maharashtra) 442001 India.ORCID https://orcid.org/0000-0003-3016-8237
Alaa A A AljabaliDepartment of Pharmaceutics & Pharmaceutical Technology, Yarmouk University Irbid Jordan alaaj@yu.edu.jo.ORCID https://orcid.org/0000-0002-9519-6338
Vijay MishraSchool of Pharmaceutical Sciences, Lovely Professional University Phagwara (Punjab) 144411 India vijaymishra2@gmail.com.ORCID https://orcid.org/0000-0001-6542-2464

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smart wearable biosensors represent a significant paradigm shift from one-time sample analysis to real-time biochemical monitoring at the body interface. Besides the flexible design of the device or wireless readout, their clinical utility will also require the reliability of the entire sensing pathway under real physiological conditions. This pathway involves biofluid access to clinical interpretation. Despite rapid progress, many wearable biosensor platforms remain limited by weak biofluid-blood correlation, receptor degradation, biofouling, motion artefacts, sensor drift and insufficient patient-level validation. Thus, a chemistry-to-clinics approach is crucial to assess the analytical reliability and translational readiness of recognition elements, sensing materials, and engineered biointerfaces. Enzymes, antibodies, aptamers, nucleic-acid systems, molecularly imprinted polymers, and nanozymes are discussed within the context of selectivity, stability, antifouling behaviour and suitability for continuous monitoring of sweat, interstitial fluid, tears, wound exudate and breath condensate. The functionality of carbon nanostructures, metal-based nanomaterials, hydrogels, MXenes, metal-organic frameworks and self-powered interfaces are evaluated in terms of their applications in amplification, mechanical conformity, biofluid handling and signal stability. Artificial intelligence is positioned as a support layer for signal correction, calibration, classification, multimodal fusion and predictive interpretation, rather than as a substitute for robust sensing chemistry. This review provides a critical chemistry-to-clinical perspective on smart wearable biosensors and outlines the validation, manufacturing, cybersecurity, post-market surveillance and benchmarking requirements needed for their translation into reliable diagnostic and therapeutic-monitoring technologies.

Identifiers

PMID42500419
PMCPMC13398417

What Socratic 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 Socratic graph.