The beginning
Powering Early Cancer Detection with Advanced AI
At OncoGraphynn, we are transforming the future of cancer detection. Our neural networks are meticulously designed to evaluate X-ray images, detecting the smallest patterns that can indicate the earliest stages of cancer. By identifying these patterns early, we give healthcare professionals the tools they need to make quick, informed decisions that save lives.


Overall Societal Impact of Late Cancer Detection
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50%
Recurrence Rate:
With late diagnoses, cancer recurrence rates can increase by up to 50%, which reduces the effectiveness of initial treatments and limits future options.
60%
Access to Curative Surgery:
Around 60% of early-stage cancer patients are eligible for curative surgery, but this option is available for less than 20% of patients with advanced-stage cancer.
90%
Survival Rate:
Patients diagnosed with early-stage cancer have a survival rate of 90% or higher across various cancer types, while this rate drops to less than 20% in advanced stages.
4x more costs
Treatment Costs:
Treatment for advanced cancer can cost 2 to 4 times more than for early-stage treatment, often limiting options due to financial constraints.
40%
Response to Chemotherapy and Radiation Therapy:
The effectiveness of chemotherapy and radiation therapy can drop by 40-50% in advanced stages, restricting these options for many patients.
Our Workflow: Precision in Every Step
At OncoGraphynn, our process is designed to provide accurate and timely results, ensuring that each step, from image submission to final report delivery, is handled with precision. Our workflow is streamlined to focus on early detection, combining artificial intelligence with medical expertise to bring you reliable, actionable insights.
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Exam Submissions:
Clients securely upload MRI images through our platform, ensuring privacy and confidentiality. The process is seamless, with support available at every step to assist with file submission.
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Neural Network Analysis:
Our advanced neural network technology rapidly scans the uploaded images, identifying subtle patterns and early signs of cancer. The system is optimized for accuracy and speed, providing results in record time.
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Medical Review of Results:
After the neural network analysis, a specialized medical team reviews the findings to ensure accuracy and validate any potential diagnosis, applying their expertise for a final check.
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Report Preparation:
A detailed report is generated, summarizing the findings from both the neural network and the medical team. The report includes clear visuals, explanations, and recommendations for further action if needed.
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Final Information Delivery to Client:
All the final information, including the detailed report, is securely sent to the client. Our team ensures a smooth communication process and is available to answer any follow-up questions.

Advances in AI for Early Cancer Detection
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Building the future
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