AIMC Topic: Kaplan-Meier Estimate

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Long-term oncologic and functional outcomes following robot-assisted radical cystectomy and intracorporeal Padua ileal bladder: results from a single high-volume center.

World journal of urology Jul 31, 2023
PURPOSE: To report long-term oncologic and functional outcomes of a large consecutive single center series of Robot-assisted radical cystectomy (RARC)- intracorporeal (IC) Urinary Diversion (UD), identifying their predicting factors.
Humans Female Risk Factors Disease-Free Survival Cystectomy Kaplan-Meier Estimate Urinary Bladder Urinary Diversion Postoperative Complications Treatment Outcome Urinary Bladder Neoplasms Robotics Robotic Surgical Procedures
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Response to 'Re. Artificial Intelligence Outperforms Kaplan-Meier Analyses Estimating Survival After Elective Treatment of Abdominal Aortic Aneurysms'.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery Mar 4, 2023
Aortic Aneurysm, Abdominal Kaplan-Meier Estimate Humans Artificial Intelligence Treatment Outcome
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Unsupervised learning of cross-modal mappings in multi-omics data for survival stratification of gastric cancer.

Future oncology (London, England) Dec 2, 2021
This study presents a survival stratification model based on multi-omics integration using bidirectional deep neural networks (BiDNNs) in gastric cancer. Based on the survival-related representation features yielded by BiDNNs through integrating tr...
Datasets as Topic Kaplan-Meier Estimate Biomarkers, Tumor Male Middle Aged Humans Risk Assessment Female RNA-Seq Aged Epigenomics Stomach Neoplasms Follow-Up Studies DNA Methylation Cluster Analysis Unsupervised Machine Learning
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Machine learning of genomic features in organotropic metastases stratifies progression risk of primary tumors.

Nature communications Nov 18, 2021
Metastatic cancer is associated with poor patient prognosis but its spatiotemporal behavior remains unpredictable at early stage. Here we develop MetaNet, a computational framework that integrates clinical and sequencing data from 32,176 primary and ...
Biomarkers, Tumor Neoplasms Disease Progression Genomics Computational Biology Mutation High-Throughput Nucleotide Sequencing Neoplasm Metastasis Kaplan-Meier Estimate Organ Specificity Humans Machine Learning Prognosis Risk Factors
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The viral expression and immune status in human cancers and insights into novel biomarkers of immunotherapy.

BMC cancer Nov 5, 2021
BACKGROUND: Viral infections are prevalent in human cancers and they have great diagnostic and theranostic values in clinical practice. Recently, their potential of shaping the tumor immune microenvironment (TIME) has been related to the immunotherap...
Neoplasms Transcriptome RNA-Seq Immunotherapy Papillomavirus Infections Humans Machine Learning Stomach Neoplasms Tumor Microenvironment Biomarkers, Tumor Herpesvirus 4, Human Mutation Leukocytes Genetic Variation High-Throughput Nucleotide Sequencing Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Support Vector Machine DNA, Viral Epstein-Barr Virus Infections Oncogenic Viruses Genome, Viral Tumor Virus Infections Kaplan-Meier Estimate Papillomaviridae
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Predictive value of red blood cell distribution width in septic shock patients with thrombocytopenia: A retrospective study using machine learning.

Journal of clinical laboratory analysis Oct 21, 2021
BACKGROUND: Sepsis-associated thrombocytopenia (SAT) is common in critical patients and results in the elevation of mortality. Red cell distribution width (RDW) can reflect body response to inflammation and oxidative stress. We try to investigate the...
Thrombocytopenia Shock, Septic Erythrocyte Indices Propensity Score Kaplan-Meier Estimate Humans Machine Learning Aged Prognosis Male Retrospective Studies Middle Aged Female Comorbidity Hospital Mortality
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Deep learning-based virtual cytokeratin staining of gastric carcinomas to measure tumor-stroma ratio.

Scientific reports Sep 28, 2021
The tumor-stroma ratio (TSR) determined by pathologists is subject to intra- and inter-observer variability. We aimed to develop a computational quantification method of TSR using deep learning-based virtual cytokeratin staining algorithms. Patients ...
Deep Learning ROC Curve Image Processing, Computer-Assisted Humans Stomach Neoplasm Staging Stomach Neoplasms Female Keratins Treatment Outcome Carcinoma Male Aged Follow-Up Studies Gastrectomy Middle Aged Adult Risk Assessment Observer Variation Kaplan-Meier Estimate
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Combining multi-site magnetic resonance imaging with machine learning predicts survival in pediatric brain tumors.

Scientific reports Sep 23, 2021
Brain tumors represent the highest cause of mortality in the pediatric oncological population. Diagnosis is commonly performed with magnetic resonance imaging. Survival biomarkers are challenging to identify due to the relatively low numbers of indiv...
Humans Machine Learning Brain Female Infant, Newborn Brain Neoplasms Male Risk Assessment Infant Adolescent Biopsy Survival Analysis Kaplan-Meier Estimate Magnetic Resonance Angiography Child, Preschool Diffusion Magnetic Resonance Imaging Child Image Processing, Computer-Assisted Bayes Theorem Neoplasm Grading
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Personalised Medicine for Colorectal Cancer Using Mechanism-Based Machine Learning Models.

International journal of molecular sciences Sep 15, 2021
Gaining insight into the mechanisms of signal transduction networks (STNs) by using critical features from patient-specific mathematical models can improve patient stratification and help to identify potential drug targets. To achieve this, these mod...
Models, Biological Progression-Free Survival Linear Models Kaplan-Meier Estimate Wnt Signaling Pathway Colorectal Neoplasms Gene Expression Regulation, Neoplastic Proteomics Neoplasm Proteins Humans Machine Learning Precision Medicine
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Deep learning-based gene selection in comprehensive gene analysis in pancreatic cancer.

Scientific reports Aug 13, 2021
The selection of genes that are important for obtaining gene expression data is challenging. Here, we developed a deep learning-based feature selection method suitable for gene selection. Our novel deep learning model includes an additional feature-s...
Pancreatic Neoplasms Middle Aged Humans Genes, Neoplasm Carcinoma, Pancreatic Ductal Female Survival Analysis Transcriptome Aged Case-Control Studies Pancreas Male Deep Learning Kaplan-Meier Estimate Gene Expression Regulation, Neoplastic
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