Latest Articles

A novel technique, combining long-read sequencing and machine learning, enables rapid sterility testing in T-cell cultures. This will help accelerate treatment delivery and improve outcomes for patients undergoing cell therapy for incurable diseases.

Explore how utilizing technology such as the IoT within the filtration process, brewers can recognize efficiency and quality gains, meet sustainability goals and ultimately deliver that perfect pint to the customer.

In this article, the latest challenges in interpreting complex genomic cancer profiles and the improvements needed to overcome them are discussed.

Artificial intelligence (AI) and machine learning (ML) are pretty much everywhere there are computers and connected devices. This article explores the use of AI in the process of drug discovery and clinical trials.

Manipulating genetics has helped mankind in numerous ways. In this article, we consider genetic modification strategies, including genome editing and genetic engineering, the techniques used to achieve them and purposes to which they are applied.

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.