Independent architectures tailored to their clinical domain, yet operating under a singular standard of validation, traceability, and security.
A precision wearable that quantifies key electrolytes through the skin — sodium, potassium, chloride and calcium — utilizing advanced sweat/ISF biosensing. Needle-free operation with continuous, all-day monitoring capabilities.
Deep learning architectures process CT, MRI and X-ray inputs to predict pathologies and segment anomalies voxel-by-voxel — providing precise lesion outlining, volumetric analysis, and confidence-calibrated reports.
Ambulatory ECG streams are decomposed into critical morphological features — mapping rhythm irregularities, interval dynamics, and waveform shifts to accurate arrhythmia classification and long-term cardiovascular risk profiling.
Spatial-temporal models analyzing multichannel EEG to detect pre-ictal states for seizure forecasting, while simultaneously tracking slow-wave spectral signatures correlated with early-stage neurodegenerative markers.
A robust, interoperable electronic health record system unifying patient timelines, clinical encounters, diagnostics, and orders into a single clinician-first workspace, featuring native bi-directional sync with HARAI hardware endpoints.
