![]() ![]() This evolution of HTS will be further enhanced by a shift from 2D to 3D biological models such as organoids, which are miniature organs that can be derived from stem cells, primary cells or cell lines, and that reflect human biology more accurately than 2D models or lab animals can. Now, thanks to the rise of artificial intelligence (AI), high-throughput screening (HTS) for drug discovery is taking a more intelligent, computational approach, with tools that allow scientists to quickly narrow down huge libraries of drug compounds to smaller, more focused compound libraries that will allow them to pinpoint the most promising drug candidates faster. It often worked, but the process was unwieldy and did not always yield clinically relevant results. The idea was to throw every compound in a library at an assay in the hopes of finding a few active compounds. High-throughput drug screening evolved in the 1990s with the invention of multi-well plates containing up to 1,536 wells, which allowed researchers to screen multi-million-compound libraries quickly. ![]()
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