Latest Articles

This article explores several examples of how comprehensive modeling tools and expert guidance can help determine what specific adaptations can optimize trials.

Two-dimensional liquid chromatography (2D-LC) offers extra separation power for complex and challenging samples and now has an important place in industry as well academia thanks to important advances. But this is by no means the end of the story.

This article focuses on the use of high-throughput screening approaches in drug discovery and discusses the latest developments in this area.

Professor Michael Snyder performed the first longitudinal detailed integrative personal omics profile and used this to assess disease risk and monitor disease states. Technology Networks invited Snyder to an Ask Me Anything session to answer your questions about the future of digital health.

Bayesian statistics has emerged as a powerful methodology for making decisions from data in the applied sciences. Bayesian brings a new way of thinking to statistics, in how it deals with probability, uncertainty and drawing inferences from an analysis.

Kieran O'Regan, COO and co-founder of About:Energy, works to bridge the gap between universities and industry and accelerate the development of new battery technologies. Technology Networks invited Kieran O'Regan to an Ask Me Anything session to answer your questions about this incredible technology.

Current automated insulin delivery systems for Type 1 diabetics struggle to regulate blood glucose effectively during exercise, but integrating data from wearable fitness sensors and AI could change that, a recent study suggests.

Digitalization underpins the biopharma industry’s endeavors to keep up with innovation and get life-changing therapeutics into the hands of patients as quickly as possible. This article explores how a digital backbone can help to realize the full potential of data and generate meaningful insights.

Biomarkers can potentially aid patient management across the stages of their disease course. This article will review advances in computationally-driven biomarker discovery, including from metabolomics datasets, for complex, multifactorial diseases.

In this article, we explore ways analytical scientists can improve their data reporting and sharing practices, leading to improvements in data integrity and regulatory compliance.