Artificial Intelligence

We support stakeholders in healthcare, research, and the agri-food industry in analyzing complex biological data using customized artificial intelligence tools, as well as in strategic planning, development, and training of personalized models. Our services combine bioinformatics expertise with advanced machine learning and deep learning technologies.

Patient stratification with Omics and clinical data

We analyze multi-omics (RNA, DNA, proteomics) and clinical data to stratify patients and predict their response to treatments using advanced AI and modeling techniques.

Biomarkers identification

We identify robust molecular signatures linked to diseases, treatments, or key phenotypes. Using advanced AI, we detect biomarkers that help characterize conditions, predict treatment responses, and optimize agricultural selection. 

Functionnal and structural genomic annotation

We leverage AI to make precise structural and functional annotation predictions of genomic and protein sequences. This includes identifying biological functions, characterizing gene architecture, predicting protein structures, and locating key functional sites.

Personalized predictive models

Using labeled data, we develop customized AI algorithms to predict outcomes or automate decision-making. Our prediction and classification models rely on omics, clinical, or contextual data to deliver precise and relevant analyses.

Mutation effect analysis

We assess the impact of genetic mutations by analyzing their effects on biological functions and protein structures. Using advanced AI models, we predict how a mutation may alter gene activity or protein stability, as well as its potential consequences on health or phenotypes.

  • Design and development of a personalized solution

    We design and develop tailored AI solutions that address specific research challenges. By integrating domain knowledge with advanced machine learning and deep learning techniques, we create customized models that deliver precise predictions and actionable insights. Our approach ensures flexibility and scalability to fit diverse datasets and objectives, enabling effective decision-making and innovation.

  • Train robust models with your data using fine-tuning techniques

    We train robust and reliable models using your specific data through fine-tuning techniques. This approach allows us to adapt pre-trained models to your unique dataset, improving their accuracy and relevance for your particular applications. By leveraging fine-tuning, we optimize model performance while reducing training time and resource requirements, delivering tailored AI solutions that meet your precise needs.

  • Data engineering

    We implement automated pipelines to collect, process, and manage your data securely and efficiently. These workflows ensure data quality, consistency, and traceability throughout the entire process, from the source to its use. These pipelines facilitate analysis, modeling, and data-driven decision-making.

Retour en haut