Automation – News and Features

Researchers from the University of Bristol and the University of the West of England highlight the importance of reprogrammable and repurposable robot designs to reduce e-waste and promote sustainability.

With the advent of machine learning and artificial intelligence, materials science could be poised to take its next big leap in efficiency since the introduction of computational chemistry.

This article provides examples of how AI is helping to shape drug discovery, from drug design through to clinical trials.

Impurities in pharmaceuticals are a major concern for drug manufacturers. This article will discuss the importance of monitoring and minimizing impurities in drug substances and products and key developments in the field.

Researchers from the Karlsruhe Institute of Technology attending AutoPET, an international competition in medical image analysis, detail how algorithms can detect tumor lesions in positron emission tomography (PET) and computed tomography (CT).

Clinical uses of mass spectrometry have historically been limited to specialist facilities. A new solution from Roche automates the entire workflow enabling routine testing laboratories to capitalize on the high sensitivity of mass spectrometry.

This article explores how 4D printing uses biomaterials to create shape-shifting medical devices, adaptive tissue scaffolds and targeted drug delivery systems.

As we discussed in our last post, the Role of Biobanking in Protecting Sample Chain of Custody, biobanks serve as biospecimen libraries as well as sample data, validation, and reference sources for both research and clinical labs.

This blog series will examine current and foreseen challenges for biobanks, as well as the systems and practices that mitigate these challenges.

Explore the technologies currently being used and developed to detect microplastics and nanoplastics.