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Updated: May 12, 2026

Multiplexed Immunofluorescence Analysis and Quantification of Intratumoral PD-1+ Tim-3+ CD8+ T Cells
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Multiplexed Immunofluorescence Analysis and Quantification of Intratumoral PD-1+ Tim-3+ CD8+ T Cells

Published on: February 8, 2018

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与PD-1/PD-L1抑制剂相关的心脏不良事件的基于组合学习的两阶段预测和分级模型:一个多中心的回顾性研究

Xitong Cheng1, Zhaochun Wu2, Jierong Lin1

  • 1Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, PR China; College of Pharmacy, Fujian Medical University, Fuzhou, PR China.

Computer methods and programs in biomedicine
|August 20, 2024
PubMed
概括

这项研究开发了一种机器学习模型,用于预测和评分来自PD-1/PD-L1抑制剂的免疫相关心脏不良事件 (ircAEs),以帮助患者管理.

关键词:
心脏不良事件的心脏不良事件评分预测的预测等级免疫治疗是一种免疫疗法.这是一种PD-1/PD-L1抑制剂.

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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

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Monitoring PD-1-Blocking Antibodies Bound to T Cells Derived from a Drop of Peripheral Blood06:07

Monitoring PD-1-Blocking Antibodies Bound to T Cells Derived from a Drop of Peripheral Blood

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Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions01:15

Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions

PK–PD modeling has significantly influenced FDA regulatory decisions, particularly drug approval, dosage optimization, and labeling. These models integrate pharmacokinetics (PK) and pharmacodynamics (PD) to predict drug behavior and effects, aiding in optimizing dosing regimens and enhancing the probability of clinical trial success.One notable example is Nesiritide (Natrecor®), a recombinant human brain natriuretic peptide for treating acute decompensated congestive heart failure (CHF).