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Updated: Jul 13, 2025

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging
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Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging

Published on: October 4, 2024

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通用可解释的反应条件预测与开放的反应条件数据集和反应中心的无监督学习

Xiaorui Wang1,2, Chang-Yu Hsieh3, Xiaodan Yin1,2

  • 1Dr. Neher's Biophysics Laboratory for Innovative Drug Discovery, State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macao, 999078, China.

Research (Washington, D.C.)
|October 18, 2023
PubMed
概括

深度学习 (DL) 模型现在可以预测化学合成的反应条件 (RCs). 一个新的基于变压器的模型,Parrot,为RC预测提供了更高的准确性和可解释性,加速了药物和材料的发现.

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