Our artificial intelligence is based on the analysis of structured data

While 97% of relevant data is lost in traditional collection processes, we focus on capturing that data, which is usually lost, for the development of our AI, allowing us to gain a more complete and accurate view of each treatment and patient.

From this structured data, we generate our own neural network that allows us to evaluate the key variables of treatments, making predictions about the success of the treatment even before its implementation.

Structured data

Unlike other systems that rely on unstructured data, we focus on capturing 97% of the data that is normally lost, thus improving the accuracy and reliability of the information.

R&D

We are currently in the development phase working with AUDIAS from Universidad Autónoma de Madrid to ensure the quality and rigor of our results, ensuring that our technology is reliable and aligned with the highest scientific standards.

Decision Process

BioSmartData provides insights and alerts during data collection, helping clinicians evaluate data on an ongoing basis and ensuring that the right data is collected without errors.

Custom neural network

We are developing a neural network that identifies the key variables of treatments and predicts their success, anticipate outcomes predictions based on real data.

Treatment personalization

Our AI will allow clinicians to insert a patient's profile and evaluate their key variables, facilitating the personalization of the treatment and improving its effectiveness.

Adverse Effects

Thanks to the ability of real-time analysis, our AI will allow possible adverse effects to be identified early, which contributes to the safety and effectiveness of the treatment  throughout its course.