Rapid automated diagnosis of primary hepatic tumour by mass spectrometry and artificial intelligence.
Silvia GiordanoSen TakedaMatteo DonadonHidekazu SaikiLaura BrunelliRoberta PastorelliMatteo CiminoCristiana SoldaniBarbara FranceschiniLuca Di TommasoAna LleoKentaro YoshimuraHiroki NakajimaGuido TorzilliEnrico DavoliPublished in: Liver international : official journal of the International Association for the Study of the Liver (2020)
The herein reported MS-based system, combined with AI, permits liver cancer identification with high accuracy. Its bench-top size, minimal sample preparation and short working time are the main advantages. From diagnostics to therapeutics, it has the potential to influence the decision-making process in real-time with the ultimate aim of improving cancer patient cure.
Keyphrases
- artificial intelligence
- mass spectrometry
- machine learning
- deep learning
- decision making
- big data
- papillary thyroid
- liquid chromatography
- gas chromatography
- case report
- high resolution
- high performance liquid chromatography
- squamous cell
- capillary electrophoresis
- ms ms
- multiple sclerosis
- small molecule
- high throughput
- lymph node metastasis
- human health
- squamous cell carcinoma
- tandem mass spectrometry
- loop mediated isothermal amplification
- young adults