About us
Building a healthier future through predictive AI
Transforming cancer care from reactive treatment to proactive prevention through multi-omics integration, explainable AI, and collaborative research
Patients treated w/ care
Patients treated w/ care
Patients treated w/ care
Positive recovery
Positive recovery
Positive recovery
Certified professionals
Certified professionals
Certified professionals
Active support
Active support
Active support
Who we are
Who we are
From reactive screening to proactive prevention powered by AI
NoCancer AI is a next-generation research platform using generative AI for predictive diagnostics, early detection, and personalized treatment of breast cancer. Our interdisciplinary team combines expertise in oncology, artificial intelligence, medical imaging, multi-omics analysis, and clinical validation to create a comprehensive platform that predicts cancer risk 8-10 years before clinical symptoms appear.
Our Mission
Delivering reliable, personalized, and compassionate AI-powered cancer prevention
Our Mission
Delivering reliable, personalized, and compassionate AI-powered cancer prevention
Our Mission
Delivering reliable, personalized, and compassionate AI-powered cancer prevention
Our Vision
Leading the future of healthcare through continuous innovation and research excellence
Our Vision
Leading the future of healthcare through continuous innovation and research excellence
Our Vision
Leading the future of healthcare through continuous innovation and research excellence
Future Goal
Expanding access to predictive diagnostics and shaping the future of precision medicine
Future Goal
Expanding access to predictive diagnostics and shaping the future of precision medicine
Future Goal
Expanding access to predictive diagnostics and shaping the future of precision medicine
Advanced AI technology
We use state-of-the-art generative AI including transformers, graph neural networks, and topological deep learning to analyze complex multi-omics data. Our models don't just find correlations—they understand causal relationships and biological mechanisms, providing actionable insights that traditional AI cannot.
Advanced AI technology
We use state-of-the-art generative AI including transformers, graph neural networks, and topological deep learning to analyze complex multi-omics data. Our models don't just find correlations—they understand causal relationships and biological mechanisms, providing actionable insights that traditional AI cannot.
Advanced AI technology
We use state-of-the-art generative AI including transformers, graph neural networks, and topological deep learning to analyze complex multi-omics data. Our models don't just find correlations—they understand causal relationships and biological mechanisms, providing actionable insights that traditional AI cannot.
Multi-omics integration
Unlike single-method screening, we integrate 8+ non-invasive data sources: genomics, proteomics, metabolomics, microbiome, epigenetics, thermography, behavioral data, and hormonal profiling. This holistic approach reveals patterns invisible to any single test, dramatically improving prediction accuracy.
Multi-omics integration
Unlike single-method screening, we integrate 8+ non-invasive data sources: genomics, proteomics, metabolomics, microbiome, epigenetics, thermography, behavioral data, and hormonal profiling. This holistic approach reveals patterns invisible to any single test, dramatically improving prediction accuracy.
Multi-omics integration
Unlike single-method screening, we integrate 8+ non-invasive data sources: genomics, proteomics, metabolomics, microbiome, epigenetics, thermography, behavioral data, and hormonal profiling. This holistic approach reveals patterns invisible to any single test, dramatically improving prediction accuracy.
Explainable predictions
Every prediction comes with clear explanations showing which biomarkers, pathways, and risk factors contribute to cancer risk scores. Our explainable AI (XAI) framework builds clinician trust and meets EU AI Act transparency requirements, ensuring our technology is trustworthy and clinically actionable.
Explainable predictions
Every prediction comes with clear explanations showing which biomarkers, pathways, and risk factors contribute to cancer risk scores. Our explainable AI (XAI) framework builds clinician trust and meets EU AI Act transparency requirements, ensuring our technology is trustworthy and clinically actionable.
Explainable predictions
Every prediction comes with clear explanations showing which biomarkers, pathways, and risk factors contribute to cancer risk scores. Our explainable AI (XAI) framework builds clinician trust and meets EU AI Act transparency requirements, ensuring our technology is trustworthy and clinically actionable.
Consortium
Consortium
Consortium
Interdisciplinary experts dedicated to cancer prevention
FAQ
Answers to your questions
Get quick, clear information about our services, appointments, support, and more
How does NoCancer AI predict cancer 8-10 years early?
Is the temperature-based screening safe?
How do I join the consortium?
What is the EIC Pathfinder Challenge 2025?
How does your AI comply with EU regulations?
FAQ
Answers to your questions
Get quick, clear information about our services, appointments, support, and more
How does NoCancer AI predict cancer 8-10 years early?
Is the temperature-based screening safe?
How do I join the consortium?
What is the EIC Pathfinder Challenge 2025?
How does your AI comply with EU regulations?
FAQ
Answers to your questions
Get quick, clear information about our services, appointments, support, and more
How does NoCancer AI predict cancer 8-10 years early?
Is the temperature-based screening safe?
How do I join the consortium?
What is the EIC Pathfinder Challenge 2025?
How does your AI comply with EU regulations?
Your prevention journey begins with one conversation
Your prevention journey begins with one conversation
Your prevention journey begins with one conversation
Your prevention journey begins with one conversation
Your prevention journey begins with one conversation
Your prevention journey begins with one conversation