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Proprietary ML Models for Road Traffic Safety
and Presymptomatic Medical Diagnostics

TCR App Company

Introducing TCR App Diagnostics

TCR App Diagnostics is a module (in advanced development) within the mobile application built by TCR App Mobility. Our product is used for presymptomatic medical diagnostics (e.g., Parkinson’s disease, diabetes, arthritis) on the basis of subtle driving anomalies.​​

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We are turning the world’s road infrastructure into a neurological screening lab — identifying Parkinson’s disease a few years before the first tremor, using solely a smartphone. This process is made possible thanks to the non-invasive, ML-based analysis of nearly a hundred biometric data streams. Beyond neurology, our models are being adapted to detect other conditions.

Technology

Current diagnostics of Parkinson’s disease rely on clinical motor symptoms (such as tremors) which typically emerge only after 60-80% of dopaminergic neurons in the brain have already irreversibly degenerated. At this stage, the window for neuroprotection is closed, leaving patients with purely symptomatic management. While the pharmaceutical industry has developed treatments capable of slowing Parkinson’s progression, these disease-modifying therapies (DMTs) are most effective only if administered before discernible symptoms appear.

 

Our algorithms are able to detect disease-specific changes in driving habits that are characteristic of chronic medical disorders (e.g., neurodegenerative diseases, as well as non-neurological conditions like diabetes and arthritis) years before the onset of clinical symptoms. For example, in the case of Parkinson’s, we focus our data labelling on multi-modal indicators of prodromal neurophysiological decline and sub-clinical motor impairment (reflected in behavioural anomalies like erratic steering or delayed reactions). By incorporating these unique patterns into our training workflow, we are able to identify driving behaviour shifts associated with presymptomatic Parkinson’s disease.

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No action is required from the user beyond installing the application. It operates in the background (consuming minimal phone resources) and is fully compatible with older devices. It functions as a sophisticated data acquisition tool, passively collecting sensor data during the user's daily driving activities — whether the phone is mounted on the dashboard or kept in a pocket. The application intelligently filters noise from relevant data streams.

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Raw, anonymized data are securely transmitted to our cloud platform for regular processing (all complex ML operations are performed exclusively there). After a data collection period spanning several weeks to months, our system aggregates enough information to potentially generate a preliminary medical insight or diagnosis (if specific disease indicators are present). The results are then relayed to the user or the healthcare provider.

Market

The target market of TCR App Diagnostics consists of three different segments, starting with a high-value SOM focused on the R&D departments of approximately 100 global Big Pharma companies in Europe, United States and Japan. By providing accurate digital biomarkers for Parkinson’s detection before the onset of clinical symptoms, we address the most critical bottleneck in drug development: the recruitment of presymptomatic patients for disease-modifying therapy trials. Our SAM (the next stage after SaMD certifications) encompasses the broader B2B healthcare sector, including hospitals, specialized medical centres and public health service providers across the EU, North America and Asia-Pacific markets.

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Ultimately, our TAM represents the global healthcare ecosystem, the insurance industry and the population of individual drivers (B2C). We position our technology as a universal digital standard for the diagnosis and monitoring of chronic medical disorders, applicable to over 1.7 billion drivers worldwide.

© 2023–2026 by TCR App Mobility. All Rights Reserved.

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