“AI and Machine Learning for Enhanced Precision and Workflow Optimization”
- A significant and accelerating trend in the global automated liquid handling market is the deepening integration of Artificial Intelligence (AI) and Machine Learning (ML). This fusion of technologies is significantly enhancing the precision, efficiency, and adaptability of liquid handling processes in laboratories
- For instance, companies such as Bio Molecular Systems, with their Myra Liquid Handling System, are integrating advanced algorithms and cameras for error-free pipetting and automated calibration, ensuring precise and reliable results. Similarly, Formulatrix has introduced advanced liquid handlers such as the FLO i8, which uses intelligent pipetting to optimize protocols without manual specification of liquid properties or labware geometries
- AI and ML integration in automated liquid handlers enables features such as real-time monitoring of dispensing to optimize conditions, predicting experimental outcomes, and flagging inconsistencies. This allows for smarter experimental design and dynamic, adaptive workflows. For example, machine learning algorithms can analyze historical data to predict how compounds will perform in drug discovery, accelerating the identification and testing of promising candidates
- The seamless integration of automated liquid handlers with AI and ML platforms facilitates centralized control and data analysis across various laboratory instruments. Through a single interface, users can manage complex experimental designs, analyze data, and potentially integrate with Laboratory Information Management Systems (LIMS) for a unified and automated research experience
- This trend towards more intelligent, intuitive, and interconnected liquid handling systems is fundamentally reshaping laboratory operations. Consequently, companies such as Thermo Fisher Scientific, Hamilton Company, Tecan Group, and Agilent Technologies are actively developing and incorporating AI and ML into their automated liquid handling solutions.
- The demand for automated liquid handling systems that offer seamless AI and ML integration is growing rapidly across pharmaceutical, biotechnology, and academic research sectors, as laboratories increasingly prioritize enhanced precision, reproducibility, high-throughput capabilities, and overall workflow optimization
