ResourceLife Sciences
The future of digital lab operations
18 Jun 2025In January 2025, Titian Software and Labguru surveyed 155 people in the life sciences industry to understand the trends and innovations that matter most in digital lab operations. In this resource, explore the findings which represent the current state of automation and data management, the evolution of AI in life science and its potential impact in lab operations.
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Artificial Intelligence / Machine LearningArtificial intelligence (AI) and machine learning (ML) are transformative technologies used to analyze complex data, identify patterns, and make data-driven predictions across diverse scientific fields. Automate the analysis of large or complex data sets using AI algorithms and leverage machine learning models to improve diagnostics, accelerate drug discovery, and refine experimental design. Discover the best AI/ML software, platforms, and analytical tools in our peer-reviewed product directory: compare features, read customer reviews, and request pricing directly from manufacturers.Robotic InstrumentsRobotic instruments can be used for high-throughput automation of many lab processes. Such processes use instruments for assays like cell based assays and ELISA, for sample preparation like shakers, centrifuges and incubators, and for analysis such as sequencing and western blot analyzers. Useful features of robotic instruments include speed, reproducibility, barcode readers, software and automation.Data AnalysisData analysis hardware and software is available to make data processing straight-forward yet powerful. Data software can be used for math and stats, technical graphing and image analysis. In addition, software is available for specific data analysis of electrophoresis, densitometry, ELISA and DNA sequencing.

