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Freescan Portable Cardiovascular Monitor
(The content above was translated by AI.)

"AI-Screening" is an AI-powered biomedical interpretation system developed by Precision Biotech. It accelerates the identification of cardiovascular disease biomarkers, assists doctors and patients in obtaining comprehensive systemic cardiovascular hotspot analysis reports, and provides big data-driven analytical recommendation reports. The AI system can also analyze the relationship between daily diet and cardiovascular indices. This product has won the CES Taiwan Best Product Award and has completed clinical validation across medical institutions.

"BD-CARdio" is an ECG-AI interpretation system developed by Precision Biotech. It accelerates the generation of auxiliary analysis reports for cardiovascular diseases, assists doctors and patients in obtaining analysis reports for conditions such as arrhythmia, and provides big data-driven analytical recommendation reports. This product has completed clinical validation across four medical institutions and has successively won the Innovation Research Award from the Ministry of Economic Affairs and the Taipei Biotech Award.
(The content above was translated by AI.)

1. "CardioRenix Matrix AI Smart Care Operating System": Creating the world's first clinical biochemical signal infrastructure layer integrating "decentralized real-time diagnosis, continuous AI risk prediction, and health insurance payment mechanisms," transforming medical records into digital smart assets.
2. "Matrix929™ Real-Time Microfluidic Analyzer": The exclusive patented N-DNA™ technology successfully overcomes the "Debye Screening Wall" that has blocked the industry for 30 years. With just a single drop of whole blood at your fingertip, you can generate central laboratory-level data within 15 minutes with sensitivity reaching fM (fimolar) levels, surpassing traditional optical inspection by 1,000 times. A single cartridge can quantitatively detect eight key CKM biomarkers including hs-cTnI, NT-proBNP, and HbA1c, quantifying micro-deterioration trends in organs.
3. "EvoRisk™ AI Prediction Engine and L1 Growth Memory Layer": This is the system's digital brain. The L1 growth memory layer uses MySQL (factual memory: biochemical indicators and prescriptions), Redis (state memory: real-time follow-up progress), and Graphiti (contextual memory: causal relationship maps of complaints and indicators) to transform static medical records into dynamic medical memory. The system self-optimizes through continuous learning mechanisms, predicting major cardiovascular adverse events (MACE) within 12 months with an accuracy of up to 0.90 AUC, advancing the intervention window by 5-10 years.
4. "Dr. AI Health Companion Assistant App": Integrates localized semantic mapping (TW-RAG), automatically de-hallucinating elderly Taiwanese slang names (such as "kidney guai"), and accurately maps them into SNOMED CT (code 709044004 chronic kidney disease) international standard clinical codes. When linked to Apple Watch, if acute warning signs such as HRV/HR anomalies are detected, the UI will be force-taken within 10 seconds to trigger an emergency alert status machine and immediately notify the medical team.