Latest Articles

Technology Networks invited chief editor at Nature Biotechnology, Barbara Cheifet, to an Ask Me Anything session to answer questions about the biggest challenges in scientific publishing and how to get work published in high-ranking journals.

The impetus to demonstrate regulatory compliance to ensure their products are safe for human consumption is an imperative for pharmaceutical and biotechnology organizations.

Thanks to the rise of AI, HTS for drug discovery is taking a more intelligent, computational approach, with tools that allow scientists to pinpoint the most promising drug candidates faster. Explore how this evolution will be further enhanced by a shift from 2D to 3D biological models such as organoids.

Using data provided by Intercontinental Exchange, My Green Lab has produced a report providing key insights into the current state of the sector’s carbon emissions. James Connelly highlights some of the key findings and their significance.

Neurodegenerative diseases are characterized by synapse dysfunction and the aggregation of proteins in the brain, which ultimately lead to neuronal loss. This article will review the studies and methods powering our growing understanding of the mechanisms behind neurodegenerative disease.

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.