StroomAI
Biochemical Modeling for Drug Discovery & Clinical Outcomes
We build predictive models that translate complex biological data into actionable clinical insights — from cancer drug discovery to surgical outcome prediction to precision nutrition.
Schedule ConsultationActive Research & Clinical Applications
Cancer Drug Discovery
Modeling biochemical interactions for STARX Therapeutics novel compounds with Dr. Taylor, University of Miami.
Clinical Outcome Prediction
Surgical outcome models achieving 0.92 AUC with Dr. Maarten Moen of Bergman Clinics and the NOC*NSF (Netherlands Olympic Committee).
BioPrisma - Precision Nutrition Platform
Biomarker-driven nutrition optimization for registered dietitians. Analyzing 90+ biomarkers through biochemical pathways to generate personalized recommendations.
Visit BioPrisma.ioDiabetes Risk Prediction
Clinical risk stratification models for KiHealth screening platform.
Solutions
Cancer & Drug Discovery
AI-driven analysis systems for identifying therapeutic applications of novel compounds. Computational approaches combining molecular databases, multi-dimensional analysis, and biochemical correlation.
BioPrisma
Clinical decision support platform that translates blood biomarker data into personalized nutrition protocols. Analyzes 90+ biomarkers through validated biochemical pathways.
- 90+ Biomarker Analysis
- 630,000+ Food Database (USDA FoodData Central)
- Drug-Nutrient Interaction Detection
- Instacart Shopping Integration
- Automated Recommendation Engine
Clinical Outcome Prediction
Predictive models for patient treatment responses. Our osteoarthritis surgical outcome model achieved 0.92 AUC for total knee replacement prediction.
Applications:
- Surgical outcome prediction
- Treatment response modeling
- Patient stratification
Cannabis Biochemical Recommendations
Comprehensive platform modeling terpene-cannabinoid-physiology interactions for personalized cannabis recommendations. Integrates health screening, genetic considerations, and experience optimization.
Psychedelic Harm Reduction
Applying biochemical interactions modeling to psychedelic therapeutic selections. Incorporates set/setting assessment, dosage optimization, medication screening, and species-specific effect profiling.
Our Approach
We account for genetic differences, metabolic rates, lifestyle factors, and real-time biological states - not population averages.
Every model is grounded in peer-reviewed research, clinical data, and validated biochemical principles.
Machine learning enables continuous improvement, with models becoming more accurate through real-world validation.
Privacy, safety, and ethical considerations are designed in from the foundation - never added as an afterthought.
Proprietary Technology
Our patent-pending biochemical interaction models predict how specific compounds affect individual biological systems. By integrating biometric data, genetic factors, and metabolic profiles, we generate personalized recommendations with unprecedented accuracy across therapeutic applications, performance optimization, and harm reduction.
Real Client Testimonials
"StroomAI revolutionized our data management. The approach they take is truly innovative and brought all insight to our fingertips."
— Rejuvatek Medical Marketing Director
"The BFF Cannabis App is like having a Budtender with a PHD in your pocket. Finally, I know just what to buy."
— CEO of Cannabis Therapeutics Organization
"Near completion with our entire mental health social platform. The AI implementation could really better a lot of lives."
— Mens Mental Health Social Platform Founder
Partner With Us
We collaborate with research institutions, pharmaceutical companies, professional sports organizations, and healthcare systems.
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Contact Information
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