AIMC Topic: Kaplan-Meier Estimate
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Ultrasound-based nomogram to predict the recurrence in papillary thyroid carcinoma using machine learning.
BMC cancer
Jul 7, 2024
BACKGROUND AND AIMS: The recurrence of papillary thyroid carcinoma (PTC) is not unusual and associated with risk of death. This study is aimed to construct a nomogram that combines clinicopathological characteristics and ultrasound radiomics signatur...
Comprehensive Bioinformatics Analysis and Machine Learning of TTK as a Transhepatic Arterial Chemoembolization Resistance Target in Hepatocellular Carcinoma.
Molecular biotechnology
Jul 2, 2024
Transhepatic arterial chemoembolization (TACE) is the standard treatment for intermediate-stage hepatocellular carcinoma (HCC). However, a significant proportion of patients are non-responders or poor responders to TACE. Therefore, our aim is to iden...
Databases, Genetic
Prognosis
Drug Resistance, Neoplasm
Biomarkers, Tumor
Carcinoma, Hepatocellular
Humans
Chemoembolization, Therapeutic
Gene Expression Profiling
Protein Interaction Maps
Machine Learning
Kaplan-Meier Estimate
Liver Neoplasms
Computational Biology
Cell Cycle Proteins
Gene Expression Regulation, Neoplastic
Matrix metalloproteinase 9 expression and glioblastoma survival prediction using machine learning on digital pathological images.
Scientific reports
Jul 2, 2024
This study aimed to apply pathomics to predict Matrix metalloproteinase 9 (MMP9) expression in glioblastoma (GBM) and investigate the underlying molecular mechanisms associated with pathomics. Here, we included 127 GBM patients, 78 of whom were rando...
Integrative machine learning and neural networks for identifying PANoptosis-related lncRNA molecular subtypes and constructing a predictive model for head and neck squamous cell carcinoma.
European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
Jun 24, 2024
PURPOSE: PANoptosis is considered a novel type of cell death that plays important roles in tumor progression. In this study, we applied machine learning algorithms to explore the relationships between PANoptosis-related lncRNAs (PRLs) and head and ne...
Developing a prognostic model using machine learning for disulfidptosis related lncRNA in lung adenocarcinoma.
Scientific reports
Jun 7, 2024
Disulfidptosis represents a novel cell death mechanism triggered by disulfide stress, with potential implications for advancements in cancer treatments. Although emerging evidence highlights the critical regulatory roles of long non-coding RNAs (lncR...
Prediction of recurrence risk in endometrial cancer with multimodal deep learning.
Nature medicine
May 24, 2024
Predicting distant recurrence of endometrial cancer (EC) is crucial for personalized adjuvant treatment. The current gold standard of combined pathological and molecular profiling is costly, hampering implementation. Here we developed HECTOR (histopa...
Pathomic model based on histopathological features and machine learning to predict IDO1 status and its association with breast cancer prognosis.
Breast cancer research and treatment
May 23, 2024
PURPOSE: To establish a pathomic model using histopathological image features for predicting indoleamine 2,3-dioxygenase 1 (IDO1) status and its relationship with overall survival (OS) in breast cancer.
Effect of chemotherapy on prognosis in patients with primary pancreatic signet ring cell carcinoma: A large real-world study based on machine learning.
PloS one
May 13, 2024
BACKGROUND: Primary pancreatic signet ring cell carcinoma (PSRCC), an extremely rare histologic variant of pancreatic cancer, has a poor prognosis. This study aimed to investigate the prognostic value of chemotherapy in PSRCC.
Dynamic Treatment Strategy of Chinese Medicine for Metastatic Colorectal Cancer Based on Machine Learning Algorithm.
Chinese journal of integrative medicine
Mar 27, 2024
OBJECTIVE: To establish the dynamic treatment strategy of Chinese medicine (CM) for metastatic colorectal cancer (mCRC) by machine learning algorithm, in order to provide a reference for the selection of CM treatment strategies for mCRC.
An artificial intelligence-driven predictive model for pediatric allogeneic hematopoietic stem cell transplantation using clinical variables.
European journal of haematology
Feb 9, 2024
BACKGROUND: Hematopoietic stem cell transplantation (HSCT) is a procedure with high morbidity and mortality. Identifying patients for maximum benefit and risk assessment is crucial in the decision-making process. This has led to the development of pr...
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