OSCR

Digital physiological biomarkers predict within-person symptom changes in complex chronic illness.

Overview

Authors: Annie Aitken1, Abbey Sawyer2, Akiko Iwasaki3,4, Harlan M Krumholz5,6, Rory Preston7, Paul Calcraft7, Harry Leeming7, Jenna Tosto-Mancuso2, Amy Proal8, Michael A Osborne9, David Putrino2
ORCID iDs: Akiko Iwasaki
  1. New York University, New York, NY USA
  2. Cohen Center for Recovery from Complex Chronic Illness, Icahn School of Medicine at Mount Sinai, New York, NY USA
  3. Department of Immunobiology, Yale University, New Haven, CT USA
  4. Howard Hughes Medical Institute, Chevy Chase, MD USA
  5. Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT USA
  6. Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT USA
  7. Visible Health Inc., Wilmington, DE USA
  8. PolyBio Research Foundation, Medford, MA USA
  9. Department of Engineering Science, University of Oxford, Oxford, UK
Institutions: New York University (United States); Icahn School of Medicine at Mount Sinai (United States); Howard Hughes Medical Institute (United States); Yale University (United States); Yale New Haven Hospital (United States); University of Oxford (United Kingdom)
Journal: NPJ digital medicine, volume 9, issue 1, article 257
Dates: received 9 November 2024; accepted 3 March 2026; published online 24 March 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41746-026-02543-3 · PMID 41876851 · PMCID PMC13022203 · OpenAlex W7140203606
Open access: gold, a free copy (OpenAlex)
Status: code on request (how the code is found and verified)
Categories: human (organism), clinical / translational (subfield)
Methods: Statistics, Machine learning, Physiology & signal measures
Keywords: Predictive markers, Psychology, Signs and symptoms
Topic: Heart Rate Variability and Autonomic Control (Cardiology and Cardiovascular Medicine, Medicine), according to OpenAlex
Citations: cited by 1 paper (Europe PMC); 58 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

The paper says that its authors' code is available on request: it was not published with the paper, so there is nothing to verify.

Code availability statement

The paper has a code availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

  • it says that the code is available on request

Read it in the paper: doi.org/10.1038/s41746-026-02543-3.

Tracing map

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Data

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Data availability statement

The paper has a data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

  • it says that the data are available on request

Read it in the paper: doi.org/10.1038/s41746-026-02543-3.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 30 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 11 authors, 3 keywords, 53 references.

Cite

This paper

Aitken, A., Sawyer, A., Iwasaki, A., Krumholz, H. M., Preston, R., Calcraft, P., Leeming, H., Tosto-Mancuso, J., Proal, A., Osborne, M. A., & Putrino, D. (2026). Digital physiological biomarkers predict within-person symptom changes in complex chronic illness. NPJ digital medicine, 9(1), 257. https://doi.org/10.1038/s41746-026-02543-3

BibTeX

@article{aitken2026digital,
author = {Aitken, Annie and Sawyer, Abbey and Iwasaki, Akiko and Krumholz, Harlan M and Preston, Rory and Calcraft, Paul and Leeming, Harry and Tosto-Mancuso, Jenna and Proal, Amy and Osborne, Michael A and Putrino, David},
title = {{Digital physiological biomarkers predict within-person symptom changes in complex chronic illness}},
journal = {NPJ digital medicine},
year = {2026},
month = mar,
volume = {9},
number = {1},
pages = {257},
publisher = {Nature Publishing Group},
issn = {2398-6352},
doi = {10.1038/s41746-026-02543-3},
url = {https://doi.org/10.1038/s41746-026-02543-3},
pmid = {41876851},
pmcid = {PMC13022203}
}

RIS

TY - JOUR
AU - Aitken, Annie
AU - Sawyer, Abbey
AU - Iwasaki, Akiko
AU - Krumholz, Harlan M
AU - Preston, Rory
AU - Calcraft, Paul
AU - Leeming, Harry
AU - Tosto-Mancuso, Jenna
AU - Proal, Amy
AU - Osborne, Michael A
AU - Putrino, David
TI - Digital physiological biomarkers predict within-person symptom changes in complex chronic illness
T2 - NPJ digital medicine
J2 - NPJ Digit Med
PY - 2026
DA - 2026/03/24
VL - 9
IS - 1
SP - 257
SN - 2398-6352
PB - Nature Publishing Group
DO - 10.1038/s41746-026-02543-3
UR - https://doi.org/10.1038/s41746-026-02543-3
LA - en
ER -

CSL-JSON

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