ehr & Multi-omics Data Integration

Comprehensive understanding of human health and mechanisms of disease requires an integrative approach that combines multi-omics data along with clinical information. Analysing the genome, transcriptome, methylome, proteome and microbiome, not only as snapshots of a single level of regulation but also how they interplay is crucial to understand how genes, proteins and/or epigenetic factors influence the host response to diseases. Genomcore platform helps bring clinical data, which can be directly obtained from EHR, securely together with multiple omic data on a single flexible and scalable platform. Use our technology to implement all the different bioinformatics tools you need in just one place in a sequential or simultaneous manner.

Support Decision Algorithms & A.I. models

Based on machine learning algorithms and A.I. models, clinical decision support tools integrate individual’s health data with the latest research and clinical protocols to help health providers have a more holistic picture of the patient’s health and deliver optimal care. We offer a secure platform, which can be integrated as a cloud-based resource within your existing systems, intended to be used as an instrumental support for clinical decision-making. This includes the analysis of large volumes of data to provide healthcare professionals with tailored recommendations for diagnostic and treatment decisions.

Support Decision Algorithms & A.I. models

Based on machine learning algorithms and A.I. models, clinical decision support tools integrate individual’s health data with the latest research and clinical protocols to help health providers have a more holistic picture of the patient’s health and deliver optimal care. We offer a secure platform, which can be integrated as a cloud-based resource within your existing systems, intended to be used as an instrumental support for clinical decision-making. This includes the analysis of large volumes of data to provide healthcare professionals with tailored recommendations for diagnostic and treatment decisions.

Systems Integration

In the era of value-based healthcare and Big Data, integrating data from different multi-omics approaches is essential to get deeper insights into disease etiology. We offer an all-in-one environment to perform customisable workflows that can combine data from different omic sources to provide medically relevant, actionable health and lifestyle recommendations for your patients.