Predicting the Likelihood of Colorectal Cancer with Artificial Intelligence Tools Using Fourier Transform Infrared Signals Obtained from Tumor Samples.

Autor: Villamanca JJ; Department of Biological Sciences, College of Science, 564927University of Santo Tomas, Manila, Philippines., Hermogino LJ; Department of Biological Sciences, College of Science, 564927University of Santo Tomas, Manila, Philippines., Ong KD; Department of Biological Sciences, College of Science, 564927University of Santo Tomas, Manila, Philippines., Paguia B; Department of Biological Sciences, College of Science, 564927University of Santo Tomas, Manila, Philippines., Abanilla L; Department of Pathology, Divine Word Hospital, Tacloban City, Philippines., Lim A; Department of Pathology, Divine Word Hospital, Tacloban City, Philippines., Angeles LM; Department of Pathology, 596481University of Santo Tomas Hospital, Manila, Philippines., Espiritu B; Department of Pathology, 603332Bulacan Medical Center, Malolos City, Philippines., Isais M; Department of Pathology, 603332Bulacan Medical Center, Malolos City, Philippines.; The Graduate School, 595547University of Santo Tomas, Manila, Philippines., Tomas RC; Department of Electrical Engineering, 54729University of the Philippines Los Baños, Los Baños, Philippines., Albano PM; Department of Biological Sciences, College of Science, 564927University of Santo Tomas, Manila, Philippines.; Department of Pathology, Divine Word Hospital, Tacloban City, Philippines.; Research Center for the Natural and Applied Sciences, 564927University of Santo Tomas, Manila, Philippines.

Publikováno v: Applied spectroscopy [Appl Spectrosc] 2022 Dec; Vol. 76 (12), pp. 1412-1428. Date of Electronic Publication: 2022 Aug 09.