PumasAI

Where Intelligence Meets Innovation

Healthcare Business Intelligence Redefined. Don’t choose between Scientific Modeling or Machine Learning — combine them!

What is DeepPumas™?

DeepPumas: First-to-Market Scientific Machine Learning Framework
DeepPumas is the first solution of its kind—designed to integrate scientific understanding with machine learning to support smarter, more confident decision-making.

Imagine you're developing a novel cancer treatment. You may have preliminary data on dosing, biomarkers, clinical outcomes, and genomic profiles. Systems biology and pharmacology can help identify target patients and assess efficacy. But what about the unknowns?
- Which genomic factors predict patient response?
- How do those factors correlate with radiographic tumor scans?
- What patterns are hidden in the data that traditional modeling can’t reveal?
This is where DeepPumas steps in.
By combining your known scientific knowledge with DeepPumas’s AI/ML capabilities, you can fill in the gaps, uncover hidden relationships, and make more informed decisions—faster.

You bring the expertise. DeepPumas brings the discovery. Together, we redefine what’s possible.

Who should use DeepPumas?

Quantitative Systems Biologists

Quantitative Pharmacologists

Translational Modelers

Pharmacometricians

Biostatisticians

Health Outcomes Researchers

Clinical Research

Optimize clinical trial designs, patient selection, and treatment response monitoring, leading to accelerated drug development and more successful trials.
Analyze and interpret complex imaging data, such as X-rays, MRIs, and CT scans. DeepPumas can detect patterns, anomalies, and specific features, aiding in accurate and fast diagnosis of diseases and conditions.
Highlight areas of concern, quantifying disease progression, and offering treatment recommendations for supporting more informed and precise diagnoses and treatment plans even during clinical trial.

Precision Medicine

Analyze patient data, including genetic information, medical history, and lifestyle factors, to accurately stratify patients into different risk groups, enabling proactive interventions and personalized treatment plans.
Enable optimal treatment options, considering individual patient characteristics, drug interactions, and potential side effects, leading to more effective and safer therapies.
Identify relevant biomarkers from vast biological datasets, facilitating the early detection and diagnosis of diseases, as well as monitoring treatment response and disease progression.

Real-World Data

Analyze real-world healthcare data, including patient records, medical imaging, and genomic information, to assist in accurate disease diagnosis and prognosis.
Enhance treatment effectiveness while minimizing adverse effects, leading to improved patient outcomes.
Understand how drugs interact with various patient populations, potentially leading to re-purposing drugs for novel therapeutic purposes.

Manufacturing

Analyze manufacturing data, identifying patterns and trends to optimize processes and ensure consistent product quality. DeepPumas-driven insights can support decision-making, reduce variability, and facilitate continuous improvement throughout the product life-cycle in Quality by Design practices.
Enable the creation of predictive models that analyze process data and identify critical process parameters (CPPs) and their relationships with critical quality attributes (CQAs).
Support continuous improvement in Quality by Design by analyzing historical data and identifying optimization opportunities.

Mechanistic Knowledge

Transform your understanding of biological interactions, system constraints, and conserved quantities into the structural backbone of your models. Encode this knowledge as mathematical functions, transformations, or systems of differential equations to ensure your models reflect real-world dynamics.

Hierarchical Correlations

Leverage the contextual structure of your data. Repeated measurements from the same patient are inherently more correlated than those across different patients—so don’t treat them as independent. Use nonlinear mixed-effects modeling to account for hierarchical variability, disentangling universally shared biological properties from individual differences and measurement noise.

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Data-Driven Insights

Apply machine learning to uncover predictive patterns hidden in your data. Embed machine learning seamlessly within mechanistic and hierarchical models to capture unknown relationships, process complex covariates, such as images, identify missing terms in your dynamical systems, and discover individualizable transformations linking latent variables to observed outcomes.

Seamlessly Combine Modeling Approaches

When we say seamless, we mean it!

Use variables, covariates, and random effects as inputs to neural networks that predict missing terms in a dynamical system.

Train everything together using maximum likelihood estimation while marginalizing over random effects—ensuring a unified, interpretable, and powerful modeling pipeline.

Why DeepPumas?

Build Bridges Between Departments

Facilitate interdepartmental collaboration by bridging the gap between scientific modeling and machine learning. DeepPumas helps unify the expertise of machine learning researchers, mechanistic modelers, and domain experts to drive aligned, data-informed decisions.

Build Drug Development Dashboards

Develop complex models for challenging disease areas—such as oncology and rare diseases—to link early biomarkers with clinical outcomes. Enable real-world usability by allowing non-data scientists to interpret results through intuitive model dashboards.

Identify Complex Relationships Quickly—Even with Small Datasets

Don’t let limited data in early development stages hinder decision-making. DeepPumas leverages known biology and mechanisms of action to detect patient response patterns and optimize dosing regimens in real time, accelerating clinical trials.

Stay Ahead of Your Competitors

DeepPumas is the first-of-its-kind platform that combines Scientific Machine Learning with non-linear mixed-effects (NLME) modeling. It dramatically expands the scope of usable information, empowering better knowledge for better business outcomes.

Learn DeepPumas Through Collaboration

Solve Real-World Problems While Gaining Hands-On Experience

PumasAI partners with organizations on targeted projects to accelerate the delivery of impactful solutions. By combining your domain expertise with our modeling and industry knowledge, we offer a bespoke DeepPumas learning experience—one that’s grounded in solving real-world challenges.

Ready to explore how we can collaborate? Contact our team to discuss your needs and identify the best path forward.

Request a Call

Set up a time to discuss your needs with our PumasAI Products team

Receive a Customized Plan

Partner with us in implementing a winning strategy for you

Successfully Deliver What Patients Need

Deliver access to life-saving treatments to patients with confidence

Switch to PumasAI Products

1. Are you trying to understand how inputs—such as patient risk factors or treatments—relate to outputs like treatment outcomes, toxicity, or pharmacologic responses?
If yes, DeepPumas is built to support exactly that kind of analysis.

2. Do you already understand part of the input-output relationship but need help discovering the rest?
If so, DeepPumas can help you uncover the missing links through advanced model discovery.

Any problem that can be addressed using non-linear mixed-effects modeling is a strong candidate for DeepPumas. DeepPumas is applicable across diverse domains—including pharmacology, epidemiology, ecology, and the social sciences—where data often exhibit complex structures and hierarchical relationships.

DeepPumas empowers precision and innovation across the healthcare and life sciences ecosystem.
It can be used to:

Identify potential target patients
Predict clinical outcomes
Individualize treatment strategies
Optimize manufacturing processes
Expedite the discovery of novel therapeutic targets

Whether you're working in translational research, clinical development, or commercial operations, DeepPumas helps bridge scientific modeling with machine learning to drive smarter decisions.

DeepPumas is the first solution of its kind in the market—designed to seamlessly integrate biological and physical modeling with machine learning. The best way to gain experience with DeepPumas is through collaboration. Our Business Development team would be happy to set up a meeting to understand your needs and explore potential partnership opportunities.

Experience DeepPumas Firsthand.

Pumas-AI Inc.
3500 South Dupont Highway
Suite GT-101
Dover, DE 19901Email: info@pumas.ai