Differentiating Multiple Sclerosis and Menopause Symptoms With MenoSync
Zenodo (CERN European Organization for Nuclear Research)
Abstract
Multiple Sclerosis (MS) and menopause share overlapping symptoms, such as fatigue and cognitive decline, creating diagnostic ambiguity for midlife women. MenoSync is a proposed tool designed to assist clinicians in differentiating MS disease activity from menopause-related hormonal changes. The system consists of a wearable ring equipped with an aptamer nanobiosensor for continuous monitoring of follicle-stimulating hormone (FSH) and estradiol via sweat. This physiological data is accompanied by a mobile application that collects Ecological Momentary Assessments (EMA) of fatigue and cognitive functioning. An AI-assisted software analyzes these inputs, providing clinicians with pattern reports and summaries to support tailored treatment. The proposed implementation plan spans 12 to 24 months, consisting of an evaluation of patient and clinician experience to inform improvements, as well as a cost-effectiveness assessment via Health Technology Assessment (HTA), protocolized clinician training and integration into clinical practice. The final step includes post-market surveillance to evaluate effectiveness through subjective and objective measures. Successful implementation requires collaboration among academic medical centers, hospitals, clinicians, patient organisations, insurance companies, software developers and data security specialists. Ultimately, MenoSync aims to optimize clinical decision-making and improve the quality of life (QoL) for menopausal women living with MS.
Authors 7
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Kaoutar Zoulali Aachen
Affiliation as printed
Leiden University