AIMC Topic: Progression-Free Survival

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Machine learning algorithms able to predict the prognosis of gastric cancer patients treated with immune checkpoint inhibitors.

World journal of gastroenterology Oct 28, 2024
BACKGROUND: Although immune checkpoint inhibitors (ICIs) have demonstrated significant survival benefits in some patients diagnosed with gastric cancer (GC), existing prognostic markers are not universally applicable to all patients with advanced GC.
Adult Stomach Neoplasms Biomarkers, Tumor Aged Aged, 80 and over Decision Trees Predictive Value of Tests Progression-Free Survival Humans Male Machine Learning Middle Aged Algorithms Immune Checkpoint Inhibitors Prognosis Retrospective Studies Female
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Improving Prediction of Survival and Progression in Metastatic Non-Small Cell Lung Cancer After Immunotherapy Through Machine Learning of Circulating Tumor DNA.

JCO precision oncology Jun 1, 2024
PURPOSE: To use modern machine learning approaches to enhance and automate the feature extraction from the longitudinal circulating tumor DNA (ctDNA) data and to improve the prediction of survival and disease progression, risk stratification, and tre...
Progression-Free Survival Circulating Tumor DNA Middle Aged Disease Progression Lung Neoplasms Immunotherapy Antibodies, Monoclonal, Humanized Carcinoma, Non-Small-Cell Lung Female Aged Male Humans Machine Learning
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Avelumab first-line maintenance in advanced urothelial carcinoma: Complete screening for prognostic and predictive factors using machine learning in the JAVELIN Bladder 100 phase 3 trial.

Cancer medicine Jun 1, 2024
BACKGROUND: Avelumab first-line (1 L) maintenance is a standard of care for advanced urothelial carcinoma (aUC) based on the JAVELIN Bladder 100 phase 3 trial, which showed that avelumab 1 L maintenance + best supportive care (BSC) significantly prol...
Humans Machine Learning Prognosis Male Middle Aged Antibodies, Monoclonal, Humanized Female Aged Biomarkers, Tumor Progression-Free Survival Carcinoma, Transitional Cell Maintenance Chemotherapy Antineoplastic Agents, Immunological Urinary Bladder Neoplasms
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Radiographical assessment of tumour stroma and treatment outcomes using deep learning: a retrospective, multicohort study.

The Lancet. Digital health Jun 1, 2021
BACKGROUND: The tumour stroma microenvironment plays an important part in disease progression and its composition can influence treatment response and outcomes. Histological evaluation of tumour stroma is limited by access to tissue, spatial heteroge...
Tomography, X-Ray Computed Female Stomach Neoplasms Biomarkers, Tumor Male Middle Aged Neural Networks, Computer Prognosis Retrospective Studies Radiography Humans Progression-Free Survival Disease-Free Survival Proportional Hazards Models Stomach Chemotherapy, Adjuvant ROC Curve Deep Learning Predictive Value of Tests China Area Under Curve
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Interactive Web Application for Plotting Personalized Prognosis Prediction Curves in Allogeneic Hematopoietic Cell Transplantation Using Machine Learning.

Transplantation May 1, 2021
BACKGROUND: Allogeneic hematopoietic cell transplantation (allo-HCT) is a curative treatment option for malignant hematological disorders. Transplant clinicians estimate patient-specific prognosis empirically in clinical practice based on previous st...
Computer Graphics Adolescent Time Factors Predictive Value of Tests Risk Assessment Disease Progression Hematopoietic Stem Cell Transplantation Transplantation, Homologous Recurrence Cause of Death Internet Progression-Free Survival Risk Factors Aged Young Adult Adult Male Middle Aged Decision Support Techniques Retrospective Studies Female Humans Machine Learning
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