Growing Use of Machine Learning and AI
AI and Machine learning are becoming increasingly important in clinical trials, as they provide a way to analyze large amounts of data and make predictions about outcomes. From identifying potential trial participants to predicting patient responses to treatment, Machine Learning can help make clinical trials more efficient and effective. Additionally, these technologies can help automate routine tasks, freeing up time and resources that can be used to focus on other aspects of the trial. Some of the AI & ML applications in clinical trials include eProtocol Design, eCRF Design, Medical Coding, DB Creation, Data Analytics, CSR Automation, SDV, Site Selection, SDTM Mapping, RBM, Query Management and Chatbots.
To take advantage of these benefits, CROs and Pharma companies should consider partnering with technology companies that specialize in Machine Learning and developing or integrating Machine Learning algorithms into their clinical trials.