Our
Projects

At SAIA, we lead cutting-edge biomedical research projects that apply Artificial Intelligence and systems biology to transform diagnostics and therapeutic decision-making. In collaboration with premier academic and clinical institutions, our portfolio spans oncology, vascular research, and AI-driven clinical support systems.

IntelURO

Partner: University of Medicine and Pharmacy Iuliu Hatieganu (UMF) Cluj-Napoca

PCCA 2011/2012 - Biotechnologies - PN-II-PT-PCCA-2011-3.1-1221

This project focuses on intelligent systems for predicting recurrence and progression in superficial bladder cancer. By analyzing tumor mRNA and plasma microRNA using AI, IntelURO enhances non-invasive cancer surveillance and therapeutic planning.

IntelPRO

Partners: Technical University of Cluj-Napoca (UTCN), UMF Cluj-Napoca

IntelPRO advances urological care by developing intelligent systems that integrate clinical and molecular data for personalized prostate cancer diagnosis and treatment guidance.

BreastOMICS

Partner: UMF Cluj

This project leverages the power of omics data—encompassing gene expression, proteomics, and miRNA profiling—to significantly enhance breast cancer diagnostics and treatment personalization. Using AI and systems biology, BreastOMICS identifies complex molecular patterns to support early detection and tailor therapy strategies to individual patient profiles.

CELIOMARK

Partners: UMF Cluj, UTCN

Focused on colorectal cancer, CELIOMARK develops advanced biomarker panels derived from integrative data analysis to enable precision diagnostics and treatment. By leveraging SAIA’s AI models and clinical collaboration, the project enhances patient stratification and supports the transition to truly personalized colorectal cancer care.

AngioTumor

Partners: IOCN, IPA

AngioTumor investigates the dynamics of tumor angiogenesis through a combination of imaging, mathematical modeling, and AI-driven interpretation. The project aims to uncover new therapeutic targets by analyzing blood vessel growth in tumors and supports better monitoring of treatment response in solid cancers.

SIDEF

Partner: UMF Cluj

This systems biology initiative deciphers the intricate molecular signatures of disease phenotypes. SIDEF integrates omics data with AI modeling to generate explainable, personalized diagnostic and prognostic models. It is designed to address complex disorders by identifying hidden relationships across biological layers.

VEZUVIUM

Partners: UBB, IOCN

VEZUVIUM focuses on improving the diagnosis and treatment of vascular pathologies using AI-powered tools. By combining cytogenetic data, urinary markers, and imaging, the project aims to advance therapeutic options and introduce minimally invasive methods in vascular disease management, ultimately enhancing patient outcomes.

Our Projects