Precision Medicine Resources

CPMDS maintains state-of-the-art computational infrastructure for multi-scale precision medicine research, supporting GPU-accelerated AI/deep learning, health informatics, biomedical data science, molecular dynamics simulations, protein modeling, and mathematical modeling of biological systems from molecules to cells and tissues. These resources enable workflows ranging from neural-network development and large-scale biomedical data analysis to digital-twin modeling, molecular docking, simulation analysis, and mechanistic studies of biomolecular, cellular, and tissue-level processes.

The current infrastructure includes state-of-the-art NVIDIA H100 systems for large-scale AI, deep learning, health informatics, protein modeling, neural-network development, and data-intensive precision medicine applications. RTX 5090 GPU workstations provide strong capabilities for molecular dynamics simulations and related GPU-accelerated simulation workflows. Substantial CPU resources, including AMD Threadripper Pro, AMD EPYC, and Intel Xeon platforms, support high-throughput computational workflows, protein modeling, mathematical modeling, multi-scale simulation and analysis, and large biomedical dataset processing.

Together, these resources enable CPMDS investigators to apply modern computational, mathematical, and AI-driven approaches to biological discovery, therapeutic modeling, biomedical data interpretation, and precision medicine research.