our
praedicare engine.
Integrates Physical Laboratory Models, Their Digital Twins, Mathematical Models,And Clinical Trial Data. The Praedicare Engine has replaced animal models and statistical approaches in drug development.
Our multi-step process combines wet lab systems, mathematical models, clinical trial data, and AI algorithms to accelerate drug development, reduce costs, and improve patient safety. We deliver 94% clinical trial forecasting accuracy, compared to 3–11% for traditional animal models.
How it Works
Physical models, digital twins, and AI work together to radically transform drug development.
Step- by Step Process
Lab data, simulations, and AI predictions integrate to accelerate the process and reduce cost.
Real-world Applications
Successful AI-powered drug developments: 20 clients, including FDA/EMA approvals.
Why
Praedicare ?
Reduce Drug Development
Costs
up to 90%
Our Systems of Systems engine drastically reduces the financial barriers to bringing new treatments to market. We make drug development 20x cheaper than traditional methods.
Accelerate Drug Development from
Bench to Clinic
by 2-3 times
Praedicare's SoS engine predicts
clinical outcomes more accurately,
with proven accuracy > 94%.
Save Patient Volunteers Lives and reduce risk of injury > 50%
By enabling more precise and informed predictions of clinical trials outcomes, we significantly reduce the number of subjects required in clinical trials by 80%, while reducing adverse events by 50%
Product & Services
Pre- Clinical Services
Praedicare Engine uses hollow-fiber models for many different diseases and toxicity with 3D human organ disease models from primary cells. Our next-gen automated lab systems can process millions of data points with minimal personnel.
Mathematical Modeling, Translation, and AI-Powered Clinical Trials Predictions
Our mathematical models, trained on extensive wet lab and clinical databases, use AI to predict clinical trial outcomes with 94% accuracy, thereby optimizing trials design and outcomes.
Innovative & Revolutionary Drug Development with Predictive AI
Praedicare is the pioneer in leveraging state-of-the-art AI to predict Phase III outcomes pre-clinically, saving immense time and resources. Our technology is uniquely validated to replace animal testing under the FDA Modernization Act 2.0.
Explore Our Impact
Using non-linear science, we pioneer the future of AI-driven drug development and achieve 94%+ accuracy in predicting clinical outcomes.
All in One Collaborations
Partnerships
We prioritize Strategic partnerships
at the core of our approaches.
Case Studies
Timeline
27 Years of Leadership in Lab Systems and 27 Years in the Use of AI in the Clinic and Lab
Praedicare has pioneered the mathematical integration of wet lab models, AI, and digital twins to transform drug development.
First physical wet laboratory systems modeling disease
Basic computational models to supplement wet lab physical experiments
Hollow fiber models of tuberculosis
More advanced wet laboratory systems capable of simulating multiple disease states
Use of fractal geometry and chaos theory to model disease progression and PKs
Achieved over 94% predictive accuracy in clinical trial outcomes, setting new standards for drug development
AI predictive models to integrate data from physical laboratory systems, ‘omics, toxicology, and clinical data
Digital twins for wet lab systems, enhancing predictive capabilities and predictive accuracy
Sophisticated AI algorithms using mathematics to model human physiological responses dynamically
Addition of new disease states to the wet lab systems, broadening potential drug targets
Modification of Poincare’s equation for new dynamical sink models for spatiotemporal histopathology
Use of category theory and topology for translation from lab to clinic
HIgh Fidelity Digital twins with real-time data syncing, allowing for immediate feedback and iterative testing cycles
Full integration and automation of physical wet lab systems, digital twins, and AI into a cohesive platform, providing a multi-dimensional approach to drug development, a System of Systems Engine for Drug Development
Launch of next-generation AI models that simulate entire life cycles of virtual patients from birth to disease onset, significantly improving the precision of drug impact predictions, Virtual AI Clinical Models
Meet Our Experts
World-renowned physician-scientist who developed disease models, AI, and patents. 200+ publications, extensive NIH, and industry funding. Pioneer of hollow fiber systems and use of AI in drug development.
Serial entrepreneur and inventor. Built $200M+ IT services firm. Acquired, operated and exited multiple businesses valued over $600M+ in technology and energy. Former investment banker. GE Patent Holder.
Former Corporate Spokesperson at Xenex Disinfection Service and Vice President of Marketing at Angelina Pharma. Business and Public Relations Consultant in the biotech sector.
Virology and parasitology expert. Dozens of high-impact papers on human viruses. Pioneer in viral disease models and biomarker discovery.
Leader in AI/mathematical modeling for infectious disease. Professor at Texas Tech, Baylor, and Senior Scientist at Gilead Sciences.
Physician entrepreneur spanning medicine, energy, IT, and finance. Founded a successful helium company. Early JAMA author.
Transform the Way You Predict Outcomes
Reach Out For General Queries, including Partnership Opportunities
why?
Our dedication to innovation and relentless pursuit of excellence empowers Us achieve unparalleled results with confidence.
