Liquid biopsy‐based diagnostic evaluation of hypermethylated CpG sites for ovarian cancer diagnosis
Molecular Oncology, EarlyView.This schematic outlines the workflow from biomarker identification to duplex MethyLight assay validation for epithelial ovarian cancer diagnosis using cfDNA‐based liquid biopsy. Initial screening of hypermethylated CpG candidates (cg02957270, cg10061138 cg00480298, COL2A1) was performed in tissue using ARMS‐PCR, COBRA, qPCR and image analysis. Selected
Deepa Bisht +3 more
wiley +1 more source
A computerized decision support system for head and neck cancer
, 2018 Head and Neck Cancer (H&NC) is one of the most complex and difficult cancers in terms of treatment and prognosis. Decision Support Systems (DSS) are currently used in several aspects of the clinical practice, however in few cases they have been used to ...
Fernández, Alejandra +7 more
core
SleepPathfinder: A Socratic Questioning and Self-Decision-Based Chatbot to Support User Engagement in Digital CBT-I: Usability and Feasibility Study. [PDF]
JMIR Form ResRoh Y, Yoon AS, Oh H.
europepmc +1 more source
Molecular Oncology, EarlyView.Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski +12 more
wiley +1 more source
An ingenious decision support system for remote health monitoring of pregnant women
, 2012 Maternal deaths have been a critical issue for women living in rural and remote areas. The need to travel long distances, the shortage of primary care providers such as physicians, specialists and nurses, and the closing of small hospitals have been ...
Gogineni, Jyothsna
core
A simulation-based hybrid causal predictive framework for stockout risk analysis in supply chain. [PDF]
PLoS OneHafaf E +3 more
europepmc +1 more source
Decision support techniques for dynamic scheduling problems
, 2003 Les problèmes d'ordonnancement constituent une classe importante des problèmes d'optimisation combinatoire. La plupart des travaux dans ce domaine considèrent des problèmes statiques pour lesquels toutes les données (activités, ressources, contraintes) sont connues à l'avance. En réalité, ce type de problèmes est très souvent soumis aux aléas (matières
openaire +1 more source
Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer
Molecular Oncology, EarlyView.Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola +11 more
wiley +1 more source
Molecular Oncology, EarlyView.Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim +3 more
wiley +1 more source
Importance of balanced datasets with feature selection and ensemble methods on heart disease classification using distinctive machine learning techniques: a comparative analysis. [PDF]
Sci RepAra J, Bhuiyan H, Roza II, Nahin ASM.
europepmc +1 more source