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	261	Capturing the Complexities of Catalyst–Support Interactions with the Help of Machine Learning Enthalten in Angewandte Chemie / International edition Bd. 64, 2025, Nr. 49. 2 S.
	262	Advanced explainable models for strength evaluation of self-compacting concrete modified with supplementary glass and marble powders Enthalten in Reviews on advanced materials science Bd. 64, 2025, Nr. 1. 21 S.
	263	Analyzing the compressive strength, eco-strength, and cost–strength ratio of agro-waste-derived concrete using advanced machine learning methods Enthalten in Reviews on advanced materials science Bd. 64, 2025, Nr. 1. 18 S.
	264	Equation-driven strength prediction of GGBS concrete: a symbolic machine learning approach for sustainable development Enthalten in Reviews on advanced materials science Bd. 64, 2025, Nr. 1. 18 S.
	265	Leveraging waste-based additives and machine learning for sustainable mortar development in construction Enthalten in Reviews on advanced materials science Bd. 64, 2025, Nr. 1. 18 S.
	266	Robustness of steroidomics-based machine learning for diagnosis of primary aldosteronism: a laboratory medicine perspective Enthalten in Clinical chemistry and laboratory medicine Bd. 63, 2025, Nr. 11: 2236-2246. 11 S.
	267	Impact of analytical bias on machine learning models for sepsis prediction using laboratory data Enthalten in Clinical chemistry and laboratory medicine Bd. 63, 2025, Nr. 10: 2022-2030. 09 S.
	268	Machine learning algorithms with body fluid parameters: an interpretable framework for malignant cell screening in cerebrospinal fluid Enthalten in Clinical chemistry and laboratory medicine Bd. 63, 2025, Nr. 10: 2012-2021. 10 S.
	269	Novel protocol for metabolomics data normalization and biomarker discovery in human tears Enthalten in Clinical chemistry and laboratory medicine Bd. 63, 2025, Nr. 8: 1599-1609. 11 S.
	270	Advancements and challenges in high-sensitivity cardiac troponin assays: diagnostic, pathophysiological, and clinical perspectives Enthalten in Clinical chemistry and laboratory medicine Bd. 63, 2025, Nr. 7: 1260-1278. 019 S.

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