High-Throughput Screening – News and Features

At SLAS Europe 2024, Technology Networks had the pleasure of speaking with Jeroen Verheyen, CEO of Semarion, to discuss their award-winning work and how technological innovations advance research.

In this article, we explore how mass spectrometry imaging technology is evolving into a high-resolution spatial biology toolset to transform drug discovery and development.

Two winners earned the New Product Award at SLAS Europe 2024: SEED Biosciences’ Dispen3D and Cryologyx’s PlateReady™. Technology Networks spoke with CEO of CryoLogyx Tom Congdon to learn more about their award-winning new product.

UC Santa Cruz researchers have discovered a peptide in human RNA that regulates inflammation and may provide a new path for treating diseases such as arthritis and lupus.

Behind the scenes, as tumors progress and gain resistance to treatment, a protein called YB-1 quietly gives directions. Now, researchers have developed a first-of-its-kind drug that inhibits YB-1, effectively silencing those orders.

How can you identify which technique is best suited to your research requirements? This article explores the advantages of qPCR and dPCR, considering specific applications and deliverable metrics to help you choose the right technology.

The industry's search for alternatives to traditional preclinical drug testing methods has led to a growing interest in the potential of three-dimensional (3D) in vitro models. To delve deeper into this subject, Technology Networks spoke with Madhu Lal-Nag, chief scientific officer at InSphero, a 3D in vitro model company with a mission to “modernize drug discovery in ways that inspire researchers everywhere to reach their full potential and fuel a new era of breakthrough therapies.”

We highlight various high-throughput screening strategies being used to interrogate large libraries of compounds and hear from researchers working to further streamline specific approaches to increase speed and improve quality and accuracy.

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.