High-Throughput Screening – News and Features

In this article, we explore the evolution of drug repurposing from a serendipitous occurrence to a more formalized endeavor involving advanced computational approaches and bioengineered test beds, considering its advantages, challenges and successes.

Generative AI, machine learning and simulations have been used to identify environmentally friendly metal-organic frameworks that can selectively absorb carbon dioxide.

To find out more about AI in pharma, Technology Networks spoke with Roger Palframan, head of US Research and digital for Early Solutions at UCB.

A research team has now shown how the immune system enhances the effect of specific antibiotics against the cholera pathogen Vibrio cholerae.

A groundbreaking 3D, three-layer nanomatrix vascular sheet that possesses multiple features of atherosclerosis has been applied for developing a high-throughput functional assay of drug candidates to treat this disease.

University of Wisconsin–Madison engineers have used a spray coating technology to produce a new workhorse material that can withstand the harsh conditions inside a fusion reactor.

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.

By replicating the microenvironment of human organs within microscale devices, OOAC technology has emerged as a powerful tool for understanding human physiology and disease mechanisms with unparalleled precision.

In this interview, Dr. Tabitha Bullock tells us about some of the key considerations in cell line development and how advances in technology are improving the efficiency and productivity of cell lines.

A high-throughput mass spectrometry platform has enabled the in situ screening of fatty acids, showing it to be an efficient tool for fatty acid biomanufacturing.