A new rapid diagnostic system with ambient mass spectrometry and machine learning for colorectal liver metastasis.
Sho KiritaniKentaro YoshimuraJunichi AritaTakashi KokudoHiroyuki HakodaMeguri TanimotoTakeaki IshizawaNobuhisa AkamatsuJunichi KanekoSen TakedaKiyoshi HasegawaPublished in: BMC cancer (2021)
The combination of PESI-MS and machine learning distinguished CRLM from non-cancer tissue with high accuracy. Phospholipids categorized as monounsaturated fatty acids contributed to the difference between CRLM and normal parenchyma and might also be a useful diagnostic biomarker and therapeutic target for CRLM.
Keyphrases
- machine learning
- mass spectrometry
- fatty acid
- artificial intelligence
- papillary thyroid
- liquid chromatography
- air pollution
- big data
- multiple sclerosis
- particulate matter
- squamous cell
- high resolution
- high performance liquid chromatography
- gas chromatography
- deep learning
- capillary electrophoresis
- ms ms
- lymph node metastasis
- squamous cell carcinoma
- childhood cancer
- tandem mass spectrometry