Led by Scott Kahn, PhD

Computational Physiology, Artificial Intelligence, and Digital Twin Systems (aTwin) for Autonomous Healthcare

The NSMS Computational (AI) Laboratory is a multidisciplinary research center focused on computational physiology, artificial intelligence, mechanistic simulation, and digital twin architectures for next-generation autonomous healthcare systems.

Led by Scott Kahn, PhD, the laboratory develops AI-enabled computational frameworks capable of integrating molecular biology, imaging, physiology, environmental sensing, and longitudinal clinical trajectories into continuously adaptive healthcare intelligence systems.

The laboratory operates at the intersection of:

• Artificial Intelligence

• Computational Biology

• Digital Twins

• Systems Medicine

• Predictive Analytics

• Autonomous Decision Systems

• High-Performance Computing

• Computational Toxicology

• Precision Therapeutics

Mission

To develop computational intelligence architectures capable of continuously sensing, simulating, predicting, and optimizing human physiology across molecular, cellular, organ, and whole-body scales.

Core Developing Programs

Mechanistic Digital Twin Systems

Development of multiscale digital twins integrating:

• Molecular biomarkers

• Physiologic sensing

• Imaging systems

• Environmental exposures

• Clinical trajectories

• Behavioral dynamics

• Therapeutic interventions

Applications include:

• ER/ICU trajectory prediction

• Drug response simulation

• Precision dosing optimization

• Rehabilitation forecasting

• Surgical outcome prediction

• Chronic disease modeling

• Aging and longevity simulation

Autonomous AI Systems

The laboratory develops advanced AI architectures including:

• Reinforcement learning

• Graph neural networks

• Causal inference systems

• Mechanistic simulation engines

• Runtime verification systems

• Neurosymbolic AI

• Adaptive control systems

• Federated learning architectures

Future autonomous healthcare systems continuously learn from longitudinal physiologic and clinical data.

Computational Physiology & Systems Biology

Research focuses on:

• Computational physiology

• Systems medicine

• PBPK/PD simulation

• Immune-system dynamics

• Multiscale biologic modeling

• Disease trajectory simulation

• Predictive mechanistic inference

• Human physiologic optimization

Core Computational Infrastructure

GPU Clusters: High-performance AI computation

Cloud-Edge Systems: Real-time distributed inference

aTwins™: Mechanistic digital twin platform

aTox™: Causal inference and mechanistic reasoning

Multimodal AI Pipelines: Cross-scale biologic integration

Autonomous Learning Systems: Continuous adaptive optimization

Research Domains

• Artificial Intelligence

• Computational Medicine

• Digital Twin Systems

• Autonomous Healthcare

• Mechanistic Modeling

• Computational Toxicology

• Predictive Analytics

• Reinforcement Learning

• Systems Biology

• Computational Neuroscience

Leadership

Scott Kahn, PhD

Director, NSMS Computational (AI) Laboratory

Scott Kahn, PhD, leads development of computational intelligence systems integrating mechanistic biology, artificial intelligence, digital twins, and predictive analytics for autonomous healthcare and precision medicine.

The Future of Computational Medicine

The NSMS Computational (AI) Laboratory is developing the computational foundation for autonomous medicine — continuously adaptive intelligence systems capable of understanding, predicting, simulating, and optimizing human health in real time.