Mid-infrared wearable biosensing for metabolic syndrome: Opportunities and translational challenges

Metabolic syndrome (MetS) is a multifactorial condition associated with an increased risk of type 2 diabetes, cardiovascular disease, and other comorbidities. Current diagnosis relies on episodic clinical assessments and invasive laboratory tests, limiting early detection and continuous monitoring in real-world settings. Digital health technologies, particularly wearable biosensors, may help address these limitations through continuous and user-centered monitoring. The MiWear project explores miniaturized mid-infrared (Mid-IR) spectroscopy combined with artificial intelligence (AI) to support non-invasive biomarker monitoring in interstitial fluid (ISF). By focusing on Mid-IR molecular signatures relevant to MetS, the approach could enable earlier risk stratification and longitudinal metabolic assessment outside traditional clinical environments. We discuss sex- and gender-related considerations, analytical and clinical validation needs, regulatory pathways, and implementation scenarios across primary care, population health, and telemedicine. This translational roadmap highlights opportunities and challenges for integrating Mid-IR wearable biosensing in preventive, patient-centered metabolic healthcare.

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Publication Details

Journal
iScience
Published
2026-07-01
DOI
https://doi.org/10.1016/j.isci.2026.116633
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
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article

Mid-infrared wearable biosensing for metabolic syndrome: Opportunities and translational challenges

Sabine Oertelt‐Prigione, Alexandru Floares, Negin Soroush, Sheraz Naseer et al.
iScience
Spectroscopy Techniques in Biomedical and Chemical Research
article

Mid-infrared wearable biosensing for metabolic syndrome: Opportunities and translational challenges

Sabine Oertelt‐Prigione, Alexandru Floares, Negin Soroush, Sheraz Naseer, Oili Ylivaara, Maxine Silvestrov, Raphael Schlesinger, Thomas Birngruber, Carmen Floares, Ivana Campia, Natalia Escacena, H. v. Lilienfeld-Toal, Heikki Saari, Maaz Mohsin, Thomas Pieber, Marco Straccia, Adrian Zety, Lampros Androutsos, Oliver Supplie, Nikolaus Hahne, Jan Kischkat
article en

Abstract

Metabolic syndrome (MetS) is a multifactorial condition associated with an increased risk of type 2 diabetes, cardiovascular disease, and other comorbidities. Current diagnosis relies on episodic clinical assessments and invasive laboratory tests, limiting early detection and continuous monitoring in real-world settings. Digital health technologies, particularly wearable biosensors, may help address these limitations through continuous and user-centered monitoring. The MiWear project explores miniaturized mid-infrared (Mid-IR) spectroscopy combined with artificial intelligence (AI) to support non-invasive biomarker monitoring in interstitial fluid (ISF). By focusing on Mid-IR molecular signatures relevant to MetS, the approach could enable earlier risk stratification and longitudinal metabolic assessment outside traditional clinical environments. We discuss sex- and gender-related considerations, analytical and clinical validation needs, regulatory pathways, and implementation scenarios across primary care, population health, and telemedicine. This translational roadmap highlights opportunities and challenges for integrating Mid-IR wearable biosensing in preventive, patient-centered metabolic healthcare.

iScience
Joanneum Research (AT), Radboud University Nijmegen (NL), Radboud University Medical Center (NL), Art and Design University of Cluj-Napoca (RO), Quantum Technologies (Sweden) (SE), VTT Technical Research Centre of Finland (FI)
Gender equality
Openalex Percentile: Top 7%
Spectroscopy Techniques in Biomedical and Chemical Research
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