Goal:
Enhance early cancer detection and enable individualized treatment recommendations through advanced analytics and AI-driven insights.
Impact Keywords:
Approach:
SeleneX is an advanced AI platform developed to accelerate cancer diagnostics and personalize therapeutic strategies. It integrates diverse medical data types — including imaging, textual, genomic, oncoomic, and electronic health records — within a unified analytical framework.
Through this foundation, Selenex applies a combination of predictive modeling, generative AI, deep learning, machine learning, and statistical modeling to establish unique patient risk categories for specific cancers, such as ovarian cancer. The platform enables the identification of optimal therapeutic approaches and the design of treatment pathways tailored to individual patients.
The system’s architecture ensures robust data governance and model transparency, while its analytical depth allows it to capture complex biological and clinical relationships that conventional systems cannot easily model.
Summary:
Selenex represents a new generation of AI-driven oncology tools — combining multiple data modalities and advanced analytical methods to support earlier diagnostics, improved precision, and truly personalized treatment.
