The data-driven approach highlights changes and interactions between various biological markers, providing a more comprehensive view of the relationships among these elements. By leveraging large datasets, algorithms can identify complex links between markers, enhancing the detection of underlying conditions. This leads to more accurate and efficient diagnostics, allowing for personalized treatment plans that are better suited to the patient’s unique biological profile. The approach ensures that diagnoses are grounded in precise, data-based insights, ultimately improving patient outcomes.
The exom platform fosters teamwork with its shared results module, allowing practitioners to collaborate seamlessly by accessing and discussing real-time data. The integrated chat feature enhances communication between healthcare professionals, ensuring that important insights and decisions are shared securely, quickly and efficiently.
Don't loose anymore medical time searching and transmitting information
Biology results from laboratory are imported easily with HL7 + PDF files
The Dataset is defined with the local data and never share extzernally. In the analysis details, you can view who has also access to the data.
AI and datadriven medicine make sens only with a team working spirit. T'ats why we integrated share and chats for professionals.