Professor Matthew Gound of the University of Cambridge is advancing the development of chemical reactions that were previously impossible using traditional methods by utilizing high-throughput experimentation (HTE). HTE allows for the parallel execution of a large number of reactions, enabling the simultaneous examination of many variables such as catalysts, substrates, and additives. Using automated liquid dispensers like mosquito(R), precise reagent handling at the nanoliter scale is performed, accommodating reaction setups and analyses in 384 or 1536 well plates. The research subjects range widely, including photoredox catalysts, C–H activation, and nucleic acid (RNA, DNA) chemistry, allowing for efficient exploration even with small sample sizes. Additionally, analytical techniques such as UPLC-MS and high-throughput NMR enable the acquisition of quantitative and high-quality data. The flexible operation is also characterized by conducting reactions at the necessary scale using partially filled 1536 well plates. In the future, such high-quality data will be essential for predicting chemical reactions using AI and machine learning, highlighting the increasing importance of data science.

In the early stages of drug discovery, the processes of design, manufacturing, testing, and analysis (DMTA) require efficient sample management. Efficient sample storage and tracking, low-volume dispensing of assay-ready plates, workflows for analysis, and automation are necessary. However, accurate and efficient sample management demands significant costs and infrastructure, particularly requiring automation and IT support, which often leads small biotechnology companies to rely on external contract research organizations. In this webinar, the Artios Pharma team will showcase practical examples of an automated end-to-end workflow for sample management using Titian Sample Bank software and SPT Labtech's automation systems. * Up to 40% reduction in data entry cycle time * Reduction in operational costs * Ensuring supply and tracking of clinical samples, enabling rapid data reporting to facilitate decision-making How integrated automated workflows have streamlined the DMTA cycle How to implement an in-house compound management system as an alternative to outsourcing Benefits of automated workflows, such as improved data integrity and expedited decision-making

Identifying early markers of transition between human health and disease is a key objective of systems medicine. This strategy requires the collection of diverse longitudinal data from each individual before and after symptoms appear. However, until recently, the comprehensive collection of plasma proteomics has been a barrier to this. In this webinar, we will discuss how high-throughput and high-sensitivity protein profiling, combining Olink technology with SPT Labtech's liquid handling automation technology, has resolved this bottleneck. - The importance of longitudinal deep phenotyping, including plasma proteomics, in systems medicine, complex disease research, and biomarker discovery. - The significance of establishing reference values and ranges for normal human plasma. - How potential prognostic markers for severe and "long" COVID-19 were identified from the plasma proteome. - How adopting the bundled infrastructure of Olink and SPT Labtech enables high throughput and uncompromised data quality in genomics, single-cell, RNA sequencing, and more.