Pioneering computational physiology platforms that integrate mechanistic modeling, causal inference, and adaptive AI to accelerate drug development, optimize trial design, and enable precision therapeutics across nephrology and metabolic disease.
Explore Our PipelinePlatforms spanning nephrology, metabolic health, and reproductive medicine—each delivering novel endpoints, causal simulation, and regulatory-ready trial support
Longitudinal kidney health modeling that forecasts disease trajectories and enables personalized intervention scenario planning with clinical trial-ready digital endpoints.
Advanced immune system modeling for glomerular diseases that forecasts disease activity and enables personalized therapy optimization with interpretable clinical metrics.
Innovative platform linking tissue pathology with non-invasive biomarkers to reduce repeat biopsies while providing continuous disease monitoring and trial-ready digital histology endpoints.
Comprehensive peritoneal dialysis optimization platform that predicts treatment adequacy, membrane function, and technique longevity for proactive clinical intervention.
Real-time hemodialysis monitoring with personalized safety management, hypotension prediction, and optimized fluid removal for improved patient outcomes.
Multi-organ ICU monitoring platform for critically ill AKI patients integrating metabolic, inflammatory, and hemodynamic risk assessment with proactive safety management.
Intraoperative renal safety platform that interprets multi-stream physiologic signals to identify early kidney vulnerability and support AKI risk reduction through hemodynamic, ventilatory, and nephrotoxin timing guidance across perioperative and ICU care.
Donor-recipient matching and monitoring system with continuous immunologic risk assessment, personalized medication management, and regulatory-ready clinical endpoints.
Kidney stone prevention platform combining physiologic simulation with real-time monitoring and validated intervention protocols for effective stone recurrence reduction.
Multi-system digital twin for dynamic heart-kidney interaction modeling, enabling early decompensation prediction, therapy simulation, and adaptive renal safety guardrails. Supports patient-specific optimization of cardio-renal agent response, clinical trial enrichment, and real-world monitoring.
Hybrid mechanistic-AI architecture combining computational physiology with adaptive machine learning for interpretable, regulatory-ready digital twins
Advanced modeling that combines biological understanding with machine learning to ensure predictions are medically meaningful and generalizable across diverse patient populations.
Quantitative health indices that provide clinically actionable insights for disease forecasting, treatment optimization, and personalized medicine applications unavailable in existing platforms.
Advanced simulation capabilities enabling exploration of treatment alternatives with built-in safety constraints to support evidence-based clinical decision-making and trial design.
Continuous model refinement as new patient data becomes available, with comprehensive uncertainty quantification and monitoring for reliable real-world performance.
Healthcare-standard data formats and comprehensive documentation designed for clinical trial integration, regulatory submission, and real-world evidence generation.
Holistic modeling of interactions between organ systems—cardio-renal, metabolic-renal, immune-endocrine—capturing systemic effects for comprehensive treatment optimization.
Accelerating drug development and enabling precision medicine through digital twin-enabled trial design, endpoint discovery, and real-world evidence generation
We're seeking pilot collaborations with pharmaceutical companies, medical device manufacturers, and health systems to validate digital endpoints, accelerate trial design, and demonstrate clinical value.