Work

Machine learning-enhanced confocal Raman imaging enables label-free diagnosis and spatial metabolic profiling of isoniazid-induced hepatotoxicity

Year: 2025

Type: article

Abstract: This method enables precise, high-throughput, and spatially resolved diagnosis of INH-ILI, with strong potential for clinical translation in drug-induced liver injury assessment.

Source: Theranostics

DOI: 10.7150/thno.119785

Authors: Shimei Wang, Xiaoren Wang, Xudong Cui, Xiaotong Xie, Zhu Zhu, Tomii Ayaka, Renxing Song, Liping Zhou, Jin Sun, Li Zhang, Ruisheng Ge, Lei Yu, Yang Li

Institutions: Fourth Affiliated Hospital of Harbin Medical University, Harbin Medical University, Second Affiliated Hospital of Harbin Medical University, Inner Mongolia People's Hospital, University of Oulu

Language: English

Topic: Spectroscopy Techniques in Biomedical and Chemical Research

Subfield: Biophysics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,671

OpenAlex ID: W4414812115

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