Cited by 214Advanced Sensor and Energy Harvesting MaterialsNon-Invasive Vital Sign MonitoringWireless Body Area Networks

Skin sensors are the future of health care

Open access
Xu, Shuai, Jayaraman, Arun, Rogers, John A.·2019·Nature

AI snapshot

Written from the paper’s full text.

TL;DR

Thin, soft electronic sensors that stick onto skin are beginning to transform health care by enabling continuous, wireless monitoring of vital signs and biomarkers, with machine-learning interpretation. The authors outline technical, regulatory, and data-security priorities needed for widespread clinical adoption.

Key findings

  • First-generation biointegrated sensors track biophysical signals such as cardiac rhythms, breathing, temperature, and motion; more advanced systems are emerging for biomarkers such as glucose and actions such as swallowing and speech. Millions of early versions are being deployed in dozens of trials in neurology applications alone.
  • iRhythm’s single-use Zio patch monitors electrical pulses from the heart for 14 days and is more effective than intermittent hospital check-ups at detecting abnormal rhythms, but it is bulky, temporary, and data must be downloaded after use rather than transmitted in real time.
  • Advanced sensors from the authors’ labs are in clinical trials in Chicago, including smaller wireless networks for heart rate, respiration, and temperature that are soft enough for premature babies’ fragile skin. Planned maternity trials in Zambia, Kenya, and South Africa will track physical activity, blood pressure, and respiratory rate in women and babies to warn of complications such as fetal hypoxia or impending haemorrhage.
  • The FDA has approved machine-learning technology for diabetic retinopathy diagnosis, the first pill with an embedded sensor (Abilify MyCite), and an app to treat opioid-use disorder (reSET-O); its pre-certification programme allows medical software from certain trusted developers to be deployed before formal evaluation. Regulation, costs, usability, and data security still require attention.

Methods

  • This is a Nature Comment/opinion article, not a primary research study; no empirical design, dataset, or statistical analysis is reported.
  • It synthesizes current commercial and research examples and outlines priorities across biomarkers, tools, therapies, implants, materials and design, data, interpretation, behaviour, clinical practice, and the road ahead.
  • It mentions ongoing and planned trials (Chicago; Zambia, Kenya, South Africa) but provides no trial protocols or results.

Limitations

  • The paper states that sensors must become smaller, thinner, lighter, and less power-hungry; accuracy, precision, and range must improve; and regulation, costs, usability, and data security require attention.
  • The paper states that FDA-approved flexible sensor systems so far collect only biophysical signals; biochemical signatures are hard to glean without needles; sweat sensors need solutions for contamination and degradation and new chemical tests and assays; imaging and spectroscopy remain expensive, bulky, and wired; and implants need biocompatible materials and ultra-thin protective layers lasting years or decades.
  • Evident from the text: as a Nature Comment, it is not peer-reviewed original research and provides no primary data; many claims are projections or priorities rather than validated outcomes.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1038/d41586-019-02143-0

Cites

Statistics

Nothing to recompute.

Claims the paper makes

0 of 12 cited sources checked · 0 supported · 0 flagged

  • Premisecitation

    The Zio patch is more effective than intermittent hospital check-ups at detecting abnormal rhythms.

    “For example, iRhythm's single-use Zio patch monitors electrical pulses from the heart for 14 days, and is more effective than intermittent hospital check-ups at detecting abnormal rhythms 4 .”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [4] Steinhubl, S. R. et al. J. Am. Med. Assoc. 320, 146–155 (2018). source

      Not checked in the free run.

  • Premisecitation

    These sensor networks can transmit data wirelessly.

    “These include even smaller sensor networks for heart rate, respiration and temperature.They can transmit data wirelessly, and are soft enough to place on the chests of premature babies without damaging their fragile skin 6 .”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [6] Chung, H. U. et al. Science 363, eaau0780 (2019). source

      Not checked in the free run.

  • Interpretationreasoning

    Thin, soft electronic systems that stick onto skin are beginning to transform health care.

    “T hin, soft electronic systems that stick onto skin are beginning to transform health care.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: The cited examples of sensor deployment and clinical trials are representative of a broader transformation of health care.
  • Premisecitation

    iRhythm's single-use Zio patch monitors electrical pulses from the heart for 14 days.

    “For example, iRhythm's single-use Zio patch monitors electrical pulses from the heart for 14 days, and is more effective than intermittent hospital check-ups at detecting abnormal rhythms 4 .”
    • Also stated in: § References · plain
      “13. The single-use Zio patch from iRhythm in San Francisco, California, can monitor heart rate continuously for two weeks to detect irregularities.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [4] Steinhubl, S. R. et al. J. Am. Med. Assoc. 320, 146–155 (2018). source

      Not checked in the free run.

  • Premisecitation

    For Parkinson's disease, a single sensor on the hand is enough to detect tremors.

    “For example, for Parkinson's disease, a single sensor on the hand is enough to detect tremors 9 .”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [9] Lonini, L. et al. NPJ Digit. Med. 1, 64 (2018). source

      Not checked in the free run.

  • May combine two claims. 1
  • Classified as probably not a substantial claim. 1
  • May combine two claims.

    Premisecitation

    Millions of early versions of sensors, computers and transmitters woven into flexible films, patches, bandages or tattoos are being deployed in dozens of trials in neurology applications alone, and their numbers are growing rapidly.

    “Millions of early versions 1 of sensors, computers and transmitters woven into flexible films, patches, bandages or tattoos are being deployed in dozens of trials in neurology applications alone 2 ; and their numbers growing rapidly.”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites [1] Topol, E. Nature Med. 25, 44–56 (2019). source

      Not checked in the free run.

    • cites [2] Johansson, D., Malmgren, K. & Alt Murphy, M. J. Neurol. 265, 1740–1752 (2018). source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).

    Interpretationreasoning

    Quantifying protein and hormone levels in sweat would increase these sensors' applicability further.

    “Quantifying protein and hormone levels in sweat would increase these sensors' applicability further.”
    Quote in the paperNot a substantial claim
2 of 2
  • The paper relies on this without support.

    The cited examples of sensor deployment and clinical trials are representative of a broader transformation of health care.

    “Millions of early versions 1 of sensors, computers and transmitters woven into flexible films, patches, bandages or tattoos are being deployed in dozens of trials in neurology applications alone 2 ; and their numbers growing rapidly.”
1 of 1

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

The citation lists haven’t been fetched yet

References 12 · Cited by 214

Authors
Xu, S., Jayaraman, A., & Rogers, J. A.
Affiliations
  • Northwestern University (US)
  • Shirley Ryan AbilityLab (US)
Corresponding author
Rogers, John A.
Venue
Nature
Published
2019-07
Volume
571
Issue
7765
Pages
319-321
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2961813557
Cited by
214
References
12
Citations by year
2026: 10 · 2025: 21 · 2024: 25 · 2023: 31 · 2022: 62 · 2021: 30 · 2020: 28 · 2019: 7
FWCI
10.92
Type
journal article
Language
en
Open access
Locations
  • Nature (publishedVersion)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
  • Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
Keywords
skin sensors, flexible electronics, wireless monitoring, wearable health monitoring, personalized medicine, predictive medicine, electronic skin
MeSH terms
Wearable Electronic Devices, Clinical Trials as Topic, Computer Systems, Humans, Monitoring, Physiologic, Skin, Telemedicine, Privacy, Diagnostic Equipment, Precision Medicine, Transdermal Patch, Wireless Technology

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-09.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-09.

Statistics and arithmetic are recomputed, not judged.

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