Innovate medical intelligence with 
At the Foothills Medical Analytics Lab, we help you design, validate, and deploy reliable machine-learning models with expert precision.
Innovate medical intelligence with
What We Offer
Medical Analytics Solutions
We transform complex clinical and imaging data into clear, actionable insights to support diagnostics, clinical decision-making, and operational efficiency.
Deep Learning Modeling
We design, train, and optimize custom deep learning models—including computer vision, multimodal architectures, and predictive pipelines—tailored to your medical data and use case.
Actionable Insights from Clinical Data
We uncover clinically meaningful patterns from structured and unstructured datasets to guide treatment planning, trial design, and strategic decision-making.
Predictive Analytics
We develop prognostic models that forecast patient outcomes, treatment responses, and disease progression to support risk stratification and personalized medicine.
Our Team
Meet our experienced team of AI professionals
Executive
Research & Development
Our Projects
Real-world applications of AI in healthcare and clinical research
Clinical Decision Support & Disease Prediction
We've developed AI tools to aid in faster, more accurate clinical decisions, from stroke and Parkinson's diagnosis to broader hospital applications. These systems aim to support clinicians in real-world care settings.
Causal & Counterfactual AI for Brain Imaging
Our research uses AI to explore "what if" scenarios in the brain, generating counterfactual images to understand how changes in brain structure relate to aging and disease. This approach makes predictions more interpretable and actionable.
In-Silico Modeling of Neurodegeneration
We have developed computational models of Alzheimer's and other dementia subtypes to study disease progression and support clinical decision-making. These in silico approaches enable exploration of disease dynamics and inform diagnosis and treatment planning.
Spatial Transcriptomics & Systems Biology
We have developed computational models for gene regulatory networks in domains of stem cell differentiation and tumorigenesis.
Evaluation of MR Acquisitions
We have performed quantitative and qualitative assessments of MR image sequences and acquisitions. Our research includes multi-modal imaging, automatic segmentation, and enhanced detection of brain features.
Signal Processing in Brain Dynamics
Advanced signal processing techniques for analyzing brain dynamics and neural activity patterns.
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