EndoVia merges experimental biology with advanced computational modeling in a unified workflow.
Compound & Target Mapping
Our process begins at the molecular level. We systematically evaluate defined cannabinoid and extract libraries against comprehensive biological targets to map precise molecular interactions.
Functional Tumor Modeling
We bridge computational theory and biological reality using advanced, subtype-specific tumor models. Through rigorous functional testing, we validate predictions to ensure reproducible anti-tumor activity. We develop a digital twin model that predicts how cancer patients respond.
Multi-omics Profiling
We capture biological complexity through the deep integration of transcriptomic and proteomic data. This high-resolution profiling uncovers molecular signatures critical for patient stratification.
Predictive Network Modeling
Acting as our computational engine, we utilize network-based systems (and/or neural networks based on the context and complexity of desired outputs) modeling to synthesize all data. This provides a mechanistic understanding of responses to drive rational therapeutic development.
For too long, cannabinoid oncology has relied on guesswork. Our mission is to match the right cannabinoid treatment to the right cancer patient.
We are transforming preclinical promise into clinical translation by replacing trial-and-error with evidence-based precision.
Early Traction & Validation
Preclinical R&D
Library of >20 cannabinoids and a biobank of cancer cell models
Academic & Research Partners
Established collaborations with the University of Maribor
Meet our Team
Get in touch
EndoVia is actively expanding its network of clinical, academic, and pharmaceutical partners. Whether you are exploring strategic collaborations, research partnerships, or investor relations, our leadership team is ready to connect.