Expert Opinion on Drug Discovery, Journal Year: 2025, Volume and Issue: unknown
Published: April 30, 2025
High-throughput fluorescence imaging (HTFI) is revolutionizing drug discovery by enabling rapid and precise detection of biological targets cellular processes. Recent advances in technologies now provide unprecedented sensitivity, resolution, throughput. Integration artificial intelligence (AI) machine learning (ML) into HTFI workflows significantly enhances data processing, aiding hit identification, pattern recognition, mechanistic understanding. This review outlines recent technological developments, integration strategies, emerging applications HTFI. It emphasizes HTFI's role phenotypic screening, especially for complex diseases such as cancer, neurodegenerative disorders, viral infections. Additionally, it highlights 3D culture systems, organoids, organ-on-a-chip technologies, which facilitate physiologically relevant testing, improved predictive accuracy, translational potential, alongside innovative molecular probes biosensors. Despite its advancements, faces ongoing challenges, including standardization, with multi-omics approaches, scalability advanced models. However, progress organoid modeling has enhanced the physiological relevance assays, complemented sophisticated AI ML-driven analysis techniques.
Language: Английский