Chemometric-assisted method development in hydrophilic interaction liquid chromatography: a review

M Taraji, PR Haddad, RIJ Amos, M Talebi, R Szucs… - Analytica chimica …, 2018 - Elsevier
With an enormous growth in the application of hydrophilic interaction liquid chromatography
(HILIC), there has also been significant progress in HILIC method development. HILIC is a …

A diagnostic model for coronavirus disease 2019 (COVID-19) based on radiological semantic and clinical features: a multi-center study

X Chen, Y Tang, Y Mo, S Li, D Lin, Z Yang, Z Yang… - European …, 2020 - Springer
Objectives Rapid and accurate diagnosis of coronavirus disease 2019 (COVID-19) is critical
during the epidemic. We aim to identify differences in CT imaging and clinical manifestations …

Prediction of analyte retention time in liquid chromatography

PR Haddad, M Taraji, R Szücs - Analytical Chemistry, 2020 - ACS Publications
Scope and Layout of This Review. This review addresses the approaches used to predict
chromatographic retention time in a range of liquid chromatographic techniques, with a …

Radiomics analysis of contrast-enhanced CT predicts lymphovascular invasion and disease outcome in gastric cancer: a preliminary study

X Chen, Z Yang, J Yang, Y Liao, P Pang, W Fan… - Cancer Imaging, 2020 - Springer
Background To determine whether radiomics features based on contrast-enhanced CT
(CECT) can preoperatively predict lymphovascular invasion (LVI) and clinical outcome in …

Combining dynamic contrast-enhanced magnetic resonance imaging and apparent diffusion coefficient maps for a radiomics nomogram to predict pathological …

X Chen, X Chen, J Yang, Y Li, W Fan… - Journal of computer …, 2020 - journals.lww.com
Objective The objective of this study was to develop a nomogrom for prediction of
pathological complete response (PCR) to neoadjuvant chemotherapy in breast cancer …

Streamflow prediction using LASSO-FCM-DBN approach based on hydro-meteorological condition classification

H Chu, J Wei, W Wu - Journal of Hydrology, 2020 - Elsevier
Streamflow prediction is a challenging task due to the different processes involved in
streamflow generation. These different processes have different characteristics of the …

Retention time prediction in hydrophilic interaction liquid chromatography with graph neural network and transfer learning

Q Yang, H Ji, X Fan, Z Zhang, H Lu - Journal of Chromatography A, 2021 - Elsevier
The combination of retention time (RT), accurate mass and tandem mass spectra can
improve the structural annotation in untargeted metabolomics. However, the incorporation of …

A novel nomogram model based on cone-beam CT radiomics analysis technology for predicting radiation pneumonitis in esophageal cancer patients undergoing …

F Du, N Tang, Y Cui, W Wang, Y Zhang, Z Li… - Frontiers in …, 2020 - frontiersin.org
Purpose We quantitatively analyzed the characteristics of cone-beam computed tomography
(CBCT) radiomics in different periods during radiotherapy (RT) and then built a novel …

[HTML][HTML] Application of computed tomography-based radiomics in differential diagnosis of adenocarcinoma and squamous cell carcinoma at the esophagogastric …

KP Du, WP Huang, SY Liu, YJ Chen, LM Li… - World Journal of …, 2022 - ncbi.nlm.nih.gov
BACKGROUND The biological behavior of carcinoma of the esophagogastric junction
(CEGJ) is different from that of gastric or esophageal cancer. Differentiating squamous cell …

PLS-based and regularization-based methods for the selection of relevant variables in non-targeted metabolomics data

R Bujak, E Daghir-Wojtkowiak, R Kaliszan… - Frontiers in molecular …, 2016 - frontiersin.org
Non-targeted metabolomics constitutes a part of the systems biology and aims at
determining numerous metabolites in complex biological samples. Datasets obtained in the …