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Updated: Jan 15, 2026

Analyzing Mitochondrial Morphology Through Simulation Supervised Learning
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对具有生物变异的数据解释深度学习模型的挑战

Lenka Tětková1, Erik Schou Dreier2, Robin Malm2

  • 1Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark.

PloS one
|October 9, 2025
PubMed
概括

本研究评估了机器学习可解释性方法,用于对现实世界谷物疾病进行分类. 它强调了生物数据的挑战,并提出了评估解释质量和可靠性的框架.

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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...
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