相关实验视频

Updated: Jan 11, 2026

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach

Published on: September 26, 2019

生物标志物研究和精密医学中的伦理挑战 - - 皮肤病学的定性研究

Marie-Christine Fritzsche^1,2, Nora Hangel³, Alena Michaela Buyx^4,5

¹Institute of History and Ethics in Medicine, TUM School of Medicine and Health, Technical University of Munich, Ismaninger Straße 22, 81675, Munich, Germany. marie-christine.fritzsche@tum.de.

BMC medical ethics

|November 19, 2025

概括

开发用于治疗无皮炎 (AD) 和牛皮 (PsO) 的数据驱动生物标志物的伦理挑战包括伤害,不公正和不确定性. 解决这些问题对于在慢性炎症性皮肤病研究中进行负责任的创新至关重要.

科学领域:

皮肤病学皮肤病学
生物伦理学生物伦理学
医疗信息学医疗信息学

背景情况:

亚托皮炎 (AD) 和牛皮 (PsO) 影响全球超过3亿人,需要先进的治疗方法.
多模式生物标志物和人工智能正在出现,用于有针对性的预测和改善AD和PsO患者的治疗结果.
对这些慢性皮肤疾病的数据驱动生物标志物研究的伦理考虑仍然未得到充分研究.

研究的目的:

对慢性炎症性皮肤疾病的数据驱动生物标志物的研究和应用中的伦理挑战进行深入分析.
探索与生物标志物开发和使用相关的伦理问题上的利益相关者的观点.
为伦理负责任的生物标志物创新提供政策制定信息.

主要方法:

对28名BIOMarkers in Atopic Dermatitis and Psoriasis联盟成员进行了一项采访研究.
参与者代表了参与生物标志物研究和应用的各种利益相关者群体.
采访经过专题分析,采用更新的基础理论方法,遵循COREQ的指导方针.

主要成果:

在与疾病相关的和与生物标志物相关的问题上确定了相互关联的伦理挑战.
关键主题包括多种形式的伤害 (心理社会物理,生活质量),不公正 (包括认识论) 和不确定性.
挑战包括大数据偏见,患者分层,诊断侵入性和预期管理.

结论:

对危害,不公正和不确定性的细微理解对于评估生物标志物研究风险和益处至关重要.
伦理见解应该指导AD和PsO中数据/人工智能驱动生物标志物的政策.
建议支持医疗创新的道德责任研究,公共卫生和临床实践.

关键词:

生物标志物生物标志物慢性炎症性皮肤疾病慢性炎症性皮肤疾病数据数据数据数据数据皮肤病学皮肤病学知识学上的不公正.伦理学伦理学伦理学伤害的伤害的伤害精准医学是一门精准的医学.定性方法定性方法

更多相关视频

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies

Published on: January 28, 2014

Establishment of a Clinic-based Biorepository

Establishment of a Clinic-based Biorepository

Published on: May 29, 2017

相关概念视频

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...

Bias in Epidemiological Studies

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:

Combination Therapies and Personalized Medicine

Combination Therapies and Personalized Medicine

Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...