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New MultiDose system saves lab technicians up to six hours per experiment
Some 50-80% of research scientists' and data scientists' time is spent wrestling with data before they can focus on higher value AI/ML and advanced analysis to help bring new life-saving therapeutics to market. This paper describes how a complete reimagining of discovery and development to drive scientific outcomes leads to a new world where science is accelerated with FAIR (Findable, Accessible, Interoperable, Reusable) harmonised data in the cloud.
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Automation, robotics and digital technologies are transforming laboratory processes in life sciences, R&D and manufacturing, and driving a new era in data-focused disease and drug discovery. While the lab sector is still on an evolutionary road to the fully automated lab-of-the-future, or Laboratory 4.0, digital transformation is accelerating the move away from analog processes, and so reducing the need for paper-based and manual processes and human intervention.
Reducing Risk and Improving Synthesis Outcomes with SYNTHIA Retrosynthesis Software
Sophia Ktori discusses the importance of integration and open systems in supporting laboratory automation
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The advent of technologies such as artificial intelligence (AI), machine learning (ML) and cloud-based platforms is revolutionising how we approach data-driven scientific research
Addressing the many intrinsic and external challenges to chemical synthesis has led to a highly complex system of regulations that involve numerous academic and governmental organizations in modern times. Existing methods have now been bolstered by powerful computer software with advanced algorithms to support the synthetic chemist and this is leading to new and innovative drugs that can be developed faster and with less risk.
Synthace has developed a ‘no-code’ cloud platform for life sciences R&D which addresses complexity, speed and reproducibility for scientists while lowering the barrier to automated biological experimentation
A collaboration between Thermo Fisher Scientific and Artificial aims to enable improved integration of software and robotics platforms to maximise COVID-19 testing throughput and efficiency
Learn about the developer tools and optimized algorithms your teams can use to expedite workflows and turn data into insights faster than ever.
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A round-up of the latest cooling technologies for scientists using HPC to support their research.
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With the proliferation of artificial intelligence (AI) and machine learning (ML), the high-performance computing industry’s increasing workloads are contributing to environmental damage
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Autonomous vehicles could help to prevent road accidents and save billions in damages across the world each year.
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The pursuit of exascale HPC systems has been a target of the HPC community since the first petaflop system broke into the Top500 in the June 2008 edition of the biannual list of the fastest supercomputers based on the Linpack
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Simulation software is helping accelerate battery development, writes Gemma Church
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Developing skills to use advanced computing resources such as high-performance computing (HPC), artificial intelligence (AI) and machine learning (ML), and quantum computing is becoming an increasingly important skill set for
