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205-PhenoProfiler: Phenotypic Learning for Drug Discovery

This paper introduces PhenoProfiler, an innovative, end-to-end model designed for advancing phenotypic learning in image-based drug discovery. Unlike existing multi-step procedures, PhenoProfiler directly processes whole-slide multi-channel images into low-dimensional quantitative representations, enhancing efficiency and overcoming limitations like computational expense and error accumulation. The model utilizes a unique architecture, including a gradient encoder and a transformer encoder, and incorporates a multi-objective learning module combining classification, regression, and…

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