Kolate AI Trial Automations
Protocol design and development
Optimize trial parameters including endpoints, inclusion/exclusion criteria and trial assessments.
Automated data cleaning
Identify inconsistent data and issue automated queries in real time. It will also recognize complex data issues, such as AE-Medication mismatches
Automated trial monitoring
Preemptively identify trial events including SAEs, protocol deviations etc. CRAs can discuss these issues with medical monitors or issues manual queries
Chatbot based trial analytics/dashboards
Medical monitors can now accomplish several trial functions using chat, including getting real time analytics and dashboards, simulating various trial scenarios and setting up push notifications for upcoming trial events (SAEs, Medications etc)
Monitor trial outcomes
With help of a data monitoring committee, determine the status of the drug trial. If it is in the best interest of patients and the sponsor, they can either stop the trial or make some changes with a protocol amendment.
On demand adaptive trial training
Considering the learner’s previous experience, the AI model serves customized trial training. Trial personnel can also ask trial related questions in a chat interface.
Publish findings
Summarize and publish the study findings. It can propose logical organization of text, tables and figures for presentations, publications and regulatory submissions.
Use real-world and other trial adjacent data
Plan future studies with trial results, real world data and data from previous trial phases. These can be for new INDs or to support marketed drugs.
Trial8 suite of service offerings for Biotech and Med-device firms
To complement our AI product, we offer trial services - including Protocol/CRF design, project Management, Trial Monitoring, Data management and Statistical analyses. More details here
