Frequently Asked Questions

First of all: What do you do and how?

We aim to bring to market an AI-first cloud-based platform that integrates advanced medical imaging with genomic data, enabling us to uncover deeper disease patterns and support more accurate, personalized clinical decisions.

Talking about clients: Which is your target?

Aigon Health serves hospital systems and oncology care centers that manage cancer diagnosis and treatment. Primary users include oncologists, radiotherapists, surgeons and radiologists. The platform is designed to integrate into clinical workflows, supporting decision-making across imaging, therapy selection, and patient management.

AI can be tricky: Does your platform need huge amounts of data to be trained?

No, Aigon Health’s AI is trained with a patient-based approach rather than relying on large population-based cohorts. This significantly reduces the amount of data required to reach strong performance, accelerating development and deployment. Despite the leaner training needs, the model maintains high effectiveness by learning from each patient’s specific clinical signals.

Finally: What is your secret sauce?

By connecting what you see (imaging) with who you are (genomics), and leveraging AI to learn from both datasets, we can unveil insights that neither can provide in isolation.