Early detection of pancreatic cancer by comprehensive serum miRNA sequencing with automated machine learning.

Munenori Kawai Akihisa FukudaRyo OtomoShunsuke ObataKosuke MinagaMasanori AsadaAtsushi UmemuraYoshito UenoyamaNobuhiro HiedaToshihiro MoritaRyuki MinamiSaiko MaruiYuki YamauchiYoshitaka NakaiYutaka TakadaKozo IkutaTakuto YoshiokaKenta MizukoshiKosuke IwaneGo YamakawaMio NamikawaMakoto SonoMunemasa NagaoTakahisa MarunoYuki NakanishiMitsuharu HiraiNaoki KandaSeiji ShioToshinao ItaniShigehiko FujiiToshiyuki KimuraKazuyoshi MatsumuraMasaya OhanaShujiro YazumiChiharu KawanamiYukitaka YamashitaHiroyuki MarusawaTomohiro WatanabeYoshito ItoMasatoshi KudoHiroshi Seno

Published in: British journal of cancer (2024)

We demonstrate that the 100 highly expressed miRNAs and their combination with CA19-9 could be biomarkers for the specific and early detection of pancreatic cancer.

Keyphrases

machine learning
deep learning
artificial intelligence
big data
high throughput
protein kinase