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基于任务驱动的框架,使用数字病理学的大型模型.

Jiahui Yu1,2, Tianyu Ma2, Feng Chen3

  • 1Department of Biomedical Engineering, MOE Key Laboratory of Biomedical Engineering, State Key Laboratory of Extreme Photonics and Instrumentation, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, Hangzhou, China.

Communications biology
|December 5, 2024
PubMed
概括

这项研究引入了自动化显微镜的大型模型驱动框架,增强了数字病理学. 它使组织幻灯片的智能实时分析成为可能,减少了诊断中的手工劳动.

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Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...