We pride ourselves on being a data-driven company, leveraging the power of data to drive innovation and to guide our research and development.

Data and algorithms are at the heart of our work, and we prioritise maintaining high standards for our data. We ensure that our data follows the FAIR principles, which means it is Findable, Accessible, Interoperable, and Reusable. This approach makes our data analyses and algorithm development, and thus product development, efficient and reliable.

We handle sensitive human data with great care, adhering to GDPR guidelines to protect and secure this information. Our goal is to create algorithms for clinical use, which involves navigating the complexities of artificial intelligence.

We use the AI-act framework to ensure our work is accountable, robust, reproducible, transparent, and fair. We pay special attention to biases and their impact on clinical decisions and equitable access to healthcare. To this end we are collaborating with DAIKi (https://dai.ki/) to ensure full aI-act compliance.

Continuous improvement is a key part of our philosophy. We strive to enhance both our algorithms and our internal data processes. To support this, we have developed SpecimensDB, a system that helps us manage and utilize our data effectively. At Ophiomics, our commitment to data-driven methods ensures that we deliver accurate and impactful results in the field of clinical research and development.