SELENEX
Revolutionizing healthcare with AI that's autonomous, personalized, and built to scale.
Where Data Meets
Biological Reality.
Multi-modal Fusion
Unifying pathology, radiology, genomics, and multimodal data with AI.
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Unifying pathology, radiology, genomics, and multimodal data with AI.
Our AI seamlessly integrates imaging data from CT, MRI, and X-ray with histopathological analysis, creating a unified diagnostic framework that captures the complete clinical picture for each patient.
SeleneX is advancing the future of healthcare through autonomous AI – built on deep integration of multi-modal patient data, machine learning, statistical reasoning, and scalable models for next-generation diagnosis, personalized interventions, and long-term care.
Precision in every pixel.
SeleneX integrates real-time AI, generative inference, and multi-modal patient data into intelligent systems that support diagnosis, prediction, and personalized care at scale.
1. Autonomous Risk Localization Continuous, real-time segmentation and diagnostic scoring during scans — powered by self-improving models trained on generative synthetic cohorts.
2. Multi-modal Predictive Fusion Combining imaging, biomarkers, genomics, and clinical history into a unified latent space — enabling highly personalized and explainable diagnostic decisions.
3. Structured Clinical Intelligence Transforming raw clinical notes, EHR records, and biomarker profiles into interpretable, machine-readable vectors for longitudinal modeling and adaptive care.
The Clinical Gap.
Stage III/IV
Of ovarian cancer cases are detected at late stages, drastically reducing survival rates.
Survival Rate
Late-stage survival rates are dramatically lower than early detection.
Silent Signals
Current screening methods fail to capture multimodal signals of early-stage HGSOC.
Over-Reliance on Imaging
Single-modality approaches miss critical biomarkers, increasing risk of missed diagnoses and patient mortality.
Lack of Personalization
Generic protocols ignore individual patient trajectories, leading to delayed interventions and preventable deaths.
Data Bias
Scarcity and demographic gaps in available datasets limit AI fairness and accuracy.
The SeleneX Shift
Moving from reactive standard care to predictive, continuous monitoring.
Platform Overview
What is SeleneX?
Early Detection & Management of Ovarian Cancer
An innovative AI-driven platform leveraging cutting-edge multimodal data fusion to detect cancer at its earliest, most treatable stages.
20%+
Detection Improvement
100%
Privacy-First Design
CT / MRI
Genomics
EHRs
Symptoms
Multimodal Data Fusion
Imaging, omics, EHRs, and patient-reported data
Proprietary Knowledge Graph
Connecting diverse data sources intelligently
AI Agent Active
Orchestrating progressive data analysis...
Generative AI Agents
Intelligent orchestration of diagnostic workflows
EHR & Anamnesis
Patient history
Biomarkers
Blood & Urine
Imaging
CT / MRI / US
Advanced
If needed
Progressive Data Escalation
Starting non-invasive, advancing only when necessary — reducing patient burden and healthcare costs
Privacy-First Design
Federated learning keeps data secure and compliant
Low Risk
Review
Why?
Explainable AI
Transparent decisions clinicians can trust
Simulating...
Digital Twins
Virtual patient models for treatment simulation
Core Technologies
Our Technology Stack
Advanced capabilities powering the next generation of early cancer detection.
Multimodal AI Fusion
Unified patient view through cross-modal data fusion. Integrating imaging, genomics, EHRs, and patient-reported symptoms into a single intelligent system.
Graph Neural Networks
Proprietary knowledge graph connecting diverse data sources intelligently.
Federated Learning
Privacy-preserving AI that learns without centralizing sensitive patient data.
Explainable AI
Transparent reasoning with attention heatmaps and confidence scoring.
Synthetic Data
Privacy-compliant data generation for rare cancer subtypes using diffusion models.
Digital Twins
Patient-specific virtual models for therapy forecasting and in silico testing.
Synthetic Data
Generation Engine
The largest curated ovarian cancer data library available today. Combining ultrasound datasets, biomarker tables, omics matrices, and clinical schemas into one unified resource.
Real Medical Data
Learns patterns from actual clinical records
Synthetic Patients
Generates realistic patient profiles
AI Training Safe
Perfect for fairness testing
Zero Exposure
No patient identity leakage
99.2%
Fidelity Score
0.01%
Privacy Risk
<2min
Generation Time
From Data to
Deep Insight.
SeleneX transforms fragmented medical data into a unified, predictive patient view through a 4-step multimodal engine.
Secure Intake & Encoding
Transforming diverse patient data into secure, computable vectors. We ensure 100% data sovereignty with on-premise encryption before any analysis begins.
