Hernán Inojosa

MSPEECH (multiple sclerosis monitoring through speech interaction in clinic and at home): a Living Lab study protocol for co-created, speech-based digital biomarkers in multiple sclerosis

Tina Lemkau, Hernán Inojosa, Anja Dillenseger, Johannes Tröger et autres

Multiple sclerosis (MS) has heterogeneous trajectories and fluctuating symptoms that are often not captured by intermittent clinic assessments. Digital health tools can provide frequent, low-burden measurements, but clinical translation requires sustained engagement, interpretability, robust governance, and workflow integration. MSPEECH is a single-center, …

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Neurofilament-Leichtkette (sNfL) als Instrument zur Beurteilung der Krankheitsaktivität und des Therapieansprechens bei Multipler Sklerose (MS)

Hernán Inojosa, Katja Akgün, Lars Masanneck, Sven Günther Meuth et autres

ABSTRACT: Serum neurofilament light chain (sNfL), a neuronal structural protein, is released upon neuroaxonal damage and correlates with clinical and imaging activity, brain atrophy, and disability progression, though it is not disease-specific. This review addresses measurement methods (SiMoA, automated platforms), pre-analytics/matrix effects, …

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From measurement to biomarker trajectories: platform-agnostic Z score analysis of serum NfL and GFAP in ocrelizumab-treated multiple sclerosis

Hernán Inojosa, Lars Masanneck, Katja Akgün, Ramona Hagler et autres

BACKGROUND: Serum neurofilament light chain (sNfL) and glial fibrillary acidic protein (sGFAP) are promising multiple sclerosis (MS) biomarkers, but biological confounding and inter-assay variability limit real-world use. We assessed whether Z score normalisation enables platform-agnostic monitoring in people with MS (pwMS) under …

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Are Traditional Registries Becoming Obsolete in the Modern Digital Health Ecosystem?

Judith Wenk, Hernán Inojosa, Isabel Voigt, Stephen Gilbert et autres

Registries have long been a cornerstone of medical research and public health, providing systematically collected data on diseases, treatments, and health outcomes. However, in the era of digital health, we argue that the traditional model of stand-alone registries needs reconsideration, given the …

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Exploring attitudes and acceptance of artificial intelligence in multiple sclerosis from the patient perspective

Hernán Inojosa, Lars Masanneck, Isabel Voigt, Dirk Schriefer et autres

Artificial intelligence (AI) is increasingly being integrated into healthcare, particularly in data-intensive chronic diseases that rely on longitudinal monitoring and shared decision-making. Multiple sclerosis is a prototypical example of such care, but real-world benefit will depend on whether people accept AI support …

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Digitale Transformation bei Multipler Sklerose – Fortschritte in Diagnostik, Monitoring und patientenzentrierter Versorgung

Isabel Voigt, Hernán Inojosa, Marc Pawlitzki, Lars Masanneck et autres

Abstract: Digital transformation is fundamentally changing the diagnosis, monitoring and treatment of multiple sclerosis. The integration of multimodal data from imaging, laboratory tests, clinical assessments, patient-reported outcomes and continuous measurements via wearables is creating high-resolution, longitudinal profiles of disease progression. Based on …

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Brain age gap in multiple sclerosis: associated with disability but independent of serum biomarkers

Marc Pawlitzki, Patricia Kirschner, Lars Masanneck, Ramona Hagler et autres

Background: Multiple sclerosis (MS) is influenced by age-related brain alterations and affects cellular aging mechanisms. Machine-learning models can estimate brain-predicted age from magnetic resonance imaging (MRI) to quantify these aging-related changes. Objectives: This study examines whether the difference between predicted and chronological …

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Künstliche Intelligenz in Living Guidelines

Tjalf Ziemssen, Stephen Gilbert, Hernán Inojosa

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AI-enabled Living Labs: Accelerating innovation in multiple sclerosis care and research

Hernán Inojosa, Rebecca Mathias, Anja Dillenseger, Isabel Voigt et autres

The rapid rise of artificial intelligence (AI) and digital health technologies presents new opportunities for personalized care in multiple sclerosis (MS). However, implementation in routine practice is limited by regulatory hurdles, fragmented infrastructure and a lack of agile real-world evaluation methods. Living …

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MS360°: a conceptual digital-first, data-driven hybrid care framework for personalised multiple sclerosis management

I. Voigt, Lars Masanneck, Marc Pawlitzki, Hernán Inojosa et autres

This perspective introduces MS360°, a conceptual hybrid care model for the management of multiple sclerosis (MS). It integrates traditional on-site assessments with digital health technologies (DHT) to enable more continuous, personalised, and proactive disease management. Current MS care is often fragmented, limiting …

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Are Traditional Registries Becoming Obsolete in the Modern Digital Health Ecosystem? (Preprint)

Judith Wenk, Hernán Inojosa, Isabel Voigt, Stephen Gilbert et autres

UNSTRUCTURED Registries have long been a cornerstone of medical research and public health, providing systematically collected data on diseases, treatments, and health outcomes. However, in the era of digital health, we argue that the traditional model of stand-alone registries needs reconsideration, given …

Exploring Attitudes and Acceptance of Artificial Intelligence in Multiple Sclerosis from the Patient Perspective

Hernán Inojosa, Lars Masanneck, I. Voigt, Dirk Schriefer et autres

Abstract Artificial intelligence (AI) is increasingly being integrated into healthcare, particularly in data-intensive chronic diseases that rely on longitudinal monitoring and shared decision-making. Multiple sclerosis is a prototypical example of such care, but real-world benefit will depend on whether people accept AI …

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