Our Services

Unlock the full potential of AI in healthcare—with expert-led, clinically aligned machine learning consulting. At BioEpiNet, we help healthcare innovators turn complex datasets into validated, ethical, and actionable models ready for real-world deployment and regulatory success.

Why Work with BioEpiNet for AI/ML?

While many firms offer algorithm development, BioEpiNet goes further. Our consulting team includes PhD data scientists, epidemiologists, biostatisticians, and MD-clinicians who bring together advanced modeling, scientific rigor, and clinical insight—so your model isn’t just accurate, it’s trusted.

Whether you’re building a predictive algorithm, validating clinical ML tools, or preparing for FDA submission, we help you:

• Develop reliable models
• Validate across subgroups & reduce bias
• Translate AI/ML into publications, products, and approvals

Our AI/ML Consulting Services

ML Model Design & Development

We help you select and build the right architecture for your data and goals—random forests, neural nets, XGBoost, or custom architectures for EHR, imaging, genomics, or wearable data.

• Data pipeline structuring
• Feature engineering with clinical domain input
• Reproducible code and documentation

Validation & Generalizability

We ensure your model is robust, transparent, and ethical.

• Cross-validation, calibration, and subgroup analysis
• Performance monitoring across race, age, sex, and comorbidity strata
• Fairness audits and clinical benchmark comparisons

Regulatory & FDA Alignment

FDA’s evolving guidance for AI/ML tools demands transparency and validation.

• Pre-submission strategy and documentation
• Clinical and analytical validation plans
• Model interpretability and bias mitigation strategies

Deployment Strategy

Real-world ML use requires more than technical success—it demands workflow integration.

• Clinical pilot design
• Drift detection and monitoring protocols
• Human-in-the-loop validation

Publication & Funding Support

From Nature-style methods writeups to NIH/NSF/FDA grant components, we help you package your ML innovation for maximum impact.

Who We Serve

We partner with innovative teams across the healthcare AI ecosystem:

• Digital Health Startups building ML-enabled diagnostics, triage tools, or virtual care platforms
• Mid-size Pharma & Biotech using AI for biomarker discovery, safety signals, or real-world evidence
• Health Systems & EHR Vendors integrating clinical decision support
• Academics & CROs launching ML-based research studies or validation pilots

Recent Projects

• AI classifier for ICU patient deterioration across multiple hospitals
• Genomics + EHR model for subtype prediction in autoimmune disease
• Remote monitoring AI pipeline integrated with wearables & telehealth
• FDA pre-submission support for AI-enabled diagnostic device

Why AI/ML with BioEpiNet?

Multidisciplinary Team: PhD-level experts in statistics, epidemiology, and medicine
Healthcare-Centric: Models grounded in clinical needs, outcomes, and ethics
Regulatory Fluency: We understand what the FDA and journals expect
Flexible Support: From quick validations to full-model lifecycle consulting
High-Touch Partnership: We become an extension of your data science or clinical innovation team

Let’s Build Trustworthy AI Together

Whether you’re in the early stages of ML model design or preparing for FDA review, BioEpiNet is your partner in clinical-grade machine learning consulting.