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In recent years, the term “data lakehouse” has entered the lexicon of data professionals. For AI-enabled clinical trials, the lakehouse architecture promises seamless integration of diverse data streams, spanning patient health records to real-time sensor data, all processed efficiently and queried in structured formats.The lakehouse architecture aims to provide a comprehensive overview of data, ensuring both vast storage and real-time processing capabilities. In other words, the lakehouse offers the “best of both worlds” when it comes to data warehouses and data lakes, according to Venu Mallarapu, vice president of global strategy and operations at eClinical Solutions.
AI and ML move from buzzwords to practical tools in clinical trial managementAs the use of AI and ML in clinical trials becomes more prevalent in patient recruitment, real-time data monitoring and beyond, …