Chia-Fong Cho

Predicting microvascular invasion in hepatocellular carcinoma: a deep learning model validated across hospitals

Shucheng Liu, Jesyin Lai, Jhao-Yu Huang et al. · Cancer Imaging · 2021 · 66 citations · Full text

Direct prediction of carbapenem-resistant, carbapenemase-producing, and colistin-resistant Klebsiella pneumoniae isolates from routine MALDI-TOF mass spectra using machine learning and outcome evaluation

Jiaxin Yu, Yu-Tzu Lin, Wei-Cheng Chen et al. · International Journal of Antimicrobial Agents · 2023 · 36 citations

Outcome Evaluation, Antimicrobial Susceptibility, Machine Learning +12

Targeting positive feedback between BASP1 and EGFR as a therapeutic strategy for lung cancer progression

Ching‐Chan Lin, Yukai Huang, Chia-Fong Cho et al. · Theranostics · 2020 · 34 citations · Full text

Prediction of methicillin-resistant Staphylococcus aureus and carbapenem-resistant Klebsiella pneumoniae from flagged blood cultures by combining rapid Sepsityper MALDI-TOF mass spectrometry with machine learning

Jiaxin Yu, Hsiu-Hsien Lin, Kun-Hao Tseng et al. · International Journal of Antimicrobial Agents · 2023 · 21 citations

Antimicrobial Susceptibility, Machine Learning, Health Sciences +11