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Development and validation of a promising 5-gene prognostic model for pediatric acute myeloid leukemia
Risk classification in pediatric acute myeloid leukemia (P-AML) is crucial for personalizing treatments. Thus, we aimed to establish a...
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Development and validation of a novel preoperative clinical model for predicting lymph node metastasis in perihilar cholangiocarcinoma
BackgroudWe aimed to develop a novel preoperative nomogram to predict lymph node metastasis (LNM) in perihilar cholangiocarcinoma (pCCA) patients.
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Development and validation of a prognostic model for assessing long COVID risk following Omicron wave—a large population-based cohort study
BackgroundLong coronavirus disease (COVID) after COVID-19 infection is continuously threatening the health of people all over the world. Early...
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Development and validation of a machine learning-based predictive model for assessing the 90-day prognostic outcome of patients with spontaneous intracerebral hemorrhage
BackgroundSpontaneous intracerebral hemorrhage (sICH) is associated with significant mortality and morbidity. Predicting the prognosis of patients...
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Development and Validation of a Nomogram Model for the Risk of Cardiac Death in Patients Treated with Chemotherapy for Esophageal Cancer
The primary cause of mortality in esophageal cancer survivors is cardiac death. Early identification of cardiac mortality risk during chemotherapy...
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Development and validation of an inflammatory biomarkers model to predict gastric cancer prognosis: a multi-center cohort study in China
BackgroundInflammatory factors have increasingly become a more cost-effective prognostic indicator for gastric cancer (GC). The goal of this study...
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Identifying patients with undiagnosed small intestinal neuroendocrine tumours in primary care using statistical and machine learning: model development and validation study
BackgroundNeuroendocrine tumours (NETs) are increasing in incidence, often diagnosed at advanced stages, and individuals may experience years of...
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Development and validation of a radiomics model of magnetic resonance for predicting liver metastasis in resectable pancreatic ductal adenocarcinoma patients
BackgroundNearly one fourth of patients with pancreatic ductal adenocarcinoma (PDAC) occur to liver metastasis after surgery, and liver metastasis is...
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Development and validation of dynamic bioenergetic model for intermittent ergometer cycling
PurposeThe aim of this study was to develop and validate a bioenergetic model describing the dynamic behavior of the alactic, lactic, and aerobic...
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Development and validation of a risk model with variables related to non-small cell lung cancer in patients with pulmonary nodules: a retrospective study
BackgroundLung cancer is a major global threat to public health for which a novel predictive nomogram is urgently needed. Non-small cell lung cancer...
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Development and validation of an automatic machine learning model to predict abnormal increase of transaminase in valproic acid-treated epilepsy
Valproic acid (VPA) is a primary medication for epilepsy, yet its hepatotoxicity consistently raises concerns among individuals. This study aims to...
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Development and validation of a novel ankle joint musculoskeletal model
An improved understanding of contact mechanics in the ankle joint is paramount for implant design and ankle disorder treatment. However, existing...
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Development and validation of a multivariable model for prediction of malignant transformation and recurrence of oral epithelial dysplasia
BackgroundOral epithelial dysplasia (OED) is the precursor to oral squamous cell carcinoma which is amongst the top ten cancers worldwide. Prognostic...
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Development and validation of a Radiopathomics model based on CT scans and whole slide images for discriminating between Stage I-II and Stage III gastric cancer
ObjectiveThis study aimed to develop and validate an artificial intelligence radiopathological model using preoperative CT scans and postoperative...
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Validation of multiparametric MRI based prediction model in identification of pseudoprogression in glioblastomas
BackgroundAccurate differentiation of pseudoprogression (PsP) from tumor progression (TP) in glioblastomas (GBMs) is essential for appropriate...
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Development and validation of a prognostic nomogram model incorporating routine laboratory biomarkers for preoperative patients with endometrial cancer
BackgroundSome biomarkers collected from routine laboratory tests have shown important value in cancer prognosis. The study aimed to evaluate the...
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Development and validation of a radiopathomic model for predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer patients
BackgroundNeoadjuvant chemotherapy (NAC) has become the standard therapeutic option for early high-risk and locally advanced breast cancer. However,...
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Establishment and validation of a novel prognostic model for non-virus-related hepatocellular carcinoma
ObjectiveThe incidence of non-virus-related hepatocellular carcinoma (NV-HCC) in hepatocellular carcinoma (HCC) is steadily increasing. The aim of...
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Development and validation of a simple and practical model for early detection of diabetic macular edema in patients with type 2 diabetes mellitus using easily accessible systemic variables
ObjectiveDiabetic macular edema (DME) is the leading cause of visual impairment in patients with diabetes mellitus (DM). The goal of early detection...
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Development and validation of a model and nomogram for breast cancer diagnosis based on quantitative analysis of serum disease-specific haptoglobin N-glycosylation
BackgroundA better diagnostic marker is in need to distinguish breast cancer from suspicious breast lesions. The abnormal glycosylation of...
