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• Voice reports now reflect every recording of an exercise and are refreshed each time you open them, giving a clearer picture of progress over time. • Each exercise now tracks its own timeline, so start, pause and completion times are recorded accurately even when work is sent later. • Improved reliability when uploading completed exercises. • General performance and stability improvements.
Clinical research platform for rich multimodal data collection and evaluation
Disclaimer: The Lapuni Cognitive Care Platform is not a medical device and does not diagnose, treat, cure, or prevent any medical condition. It is a software tool for capturing and managing data in the context of clinical research, intended for use solely by qualified healthcare and research professionals. It does not provide medical advice and does not replace professional clinical judgment. Always consult a qualified healthcare professional for any medical advice, diagnosis, or treatment. A comprehensive platform for cognitive assessment, monitoring, and evaluation in clinical research — built for clinicians, researchers, and the institutions they work within. This platform is intended exclusively for qualified healthcare professionals and authorized researchers operating within approved institutional or clinical research frameworks. It is not a diagnostic tool and does not provide medical diagnoses or treatments. Clinicians and researchers design and deploy structured protocols for their study participants. Every session, every exercise, every data collection instrument is configured and enabled by the operator — participants engage with the platform in assisted mode, either in-person or remotely, always under professional supervision. Whether you are an independent practitioner, a research group, a hospital department, a university lab, or a multi-site organization, the platform adapts to your workflow and scales to your institutional structure. Cognitive assessment across multiple domains: Measure and train cognitive function across memory, attention, executive function, language, and visuospatial processing. A wide range of exercise types can be combined into protocols of any complexity. Handwriting and motor analysis: A dedicated handwriting module captures the full dynamics of writing and applies machine-learning models grounded in kinematic theories of motor control — providing fine-grained, objective markers that pen-and-paper assessment cannot reveal. Valuable for screening, monitoring, and longitudinal research. Multimodal data collection: Design digital questionnaires and collect responses through voice recordings, image annotation, handwritten input, and standard digital forms — all within a single instrument. Interoperability and data exchange: Full support for HL7 FHIR, the global standard for healthcare data exchange. Integrate with hospital information systems, registries, and research databases, and share data across institutions without bespoke pipelines. Clinical trial support: Purpose-built features for cognitive clinical trials: protocol design, participant enrollment, longitudinal data collection, monitoring, and structured export for analysis. Health Connect integration: For research protocols that require it, the platform integrates with Health Connect to collect objective physiological and functional biomarkers from connected wearables. The specific data types accessed — such as heart rate, oxygen saturation, sleep data, activity metrics, and blood pressure — are determined exclusively by each study's approved research protocol. This integration supports the correlation of physiological and functional status with cognitive and motor performance captured within the app, providing researchers with a richer, more objective dataset than traditional assessment methods alone.