A new study revealed how machines can solve complex problems just as accurately as theoretical physicists, but significantly faster.

Purdue University researchers have designed a novel approach to use deep learning to better understand how proteins interact in the body – paving the way to producing accurate structure models of protein interactions. This knowledge could help design better drugs that specifically target protein interactions.

Engineers from Duke University and the Institut de Physique de Nice in France have developed a new method to identify objects using microwaves that improves accuracy while reducing the associated computing time and power requirements.

Thermo Fisher Scientific and Agilent Technologies have announced they are continuing their agreement to the Instrument Control Exchange Program, fostering compatibility among key vendors' instrumentation and chromatography data systems (CDS).

New LIMS software provides new features that are now included in the runsheet, graphical configuration tools and substance management functionality.

Machine-learning algorithms can monitor online social media conversations as they evolve, which could lead to an automated way to identify online trolling.

In epidemiology, prevalence and incidence are among the most fundamental measures when it comes to monitoring disease. But do you know what they mean or how and why they are important? This article takes a look at disease prevalence and incidence, what this information tells us and how it can be used.

The Darwin Tree of Life (DToL) project will sequence the genomes of all 60,000 eukaryotic organisms in the British Isles to better understand how DNA translates to the diversity of life.

At first glance this question might seem like a no-brainer. Surely if you make an infectious disease notifiable then you are better able to contain infection and prevent it spreading, right? Unfortunately, whilst the principle seems simple, the reality is far less so. Here we take a look at the different facets and implications of making an infectious disease notifiable.

In the post-genomic era, the direct cost associated with performing sequencing reactions has diminished, whereas the data processing, storage, management, and interpretation costs have increased exponentially. In this article, we explore how new tools are simplifying the process of genomic data analysis.

Over the past 10-15 years, chromatography data systems (CDS) have been at the center of data integrity issues involving data falsification, resulting in numerous FDA warning letters. In this article, we investigate the main violations cited in FDA warning letters and discuss how to avoid them.

Due to the value of high-end quality bottles of whiskey, they are often the target of fraud. Analysts therefore need the tools and techniques to be able to determine the authenticity of products and ensure consumer safety.