AI Medical Compendium Journal:
Journal of cancer research and clinical oncology

Showing 11 to 20 of 61 articles

Deep fine-KNN classification of ovarian cancer subtypes using efficientNet-B0 extracted features: a comprehensive analysis.

Journal of cancer research and clinical oncology Jul 25, 2024
This study presents a robust approach for the classification of ovarian cancer subtypes through the integration of deep learning and k-nearest neighbor (KNN) methods. The proposed model leverages the powerful feature extraction capabilities of Effici...
Ovarian Neoplasms Cystadenocarcinoma, Serous Humans Female Deep Learning
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A prognostic framework for predicting lung signet ring cell carcinoma via a machine learning based cox proportional hazard model.

Journal of cancer research and clinical oncology Jul 25, 2024
PURPOSE: Signet ring cell carcinoma (SRCC) is a rare type of lung cancer. The conventional survival nomogram used to predict lung cancer performs poorly for SRCC. Therefore, a novel nomogram specifically for studying SRCC is highly required.
Male Middle Aged ROC Curve Aged Adult SEER Program Proportional Hazards Models Lung Neoplasms Nomograms Carcinoma, Signet Ring Cell Humans Machine Learning Prognosis Female
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Deep learning model based on endoscopic images predicting treatment response in locally advanced rectal cancer undergo neoadjuvant chemoradiotherapy: a multicenter study.

Journal of cancer research and clinical oncology Jul 13, 2024
PURPOSE: Neoadjuvant chemoradiotherapy has been the standard practice for patients with locally advanced rectal cancer. However, the treatment response varies greatly among individuals, how to select the optimal candidates for neoadjuvant chemoradiot...
Humans Chemoradiotherapy Middle Aged Deep Learning Treatment Outcome Aged Neoadjuvant Therapy Adult Rectal Neoplasms Male Retrospective Studies Chemoradiotherapy, Adjuvant Female
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Developing a deep learning model for predicting ovarian cancer in Ovarian-Adnexal Reporting and Data System Ultrasound (O-RADS US) Category 4 lesions: A multicenter study.

Journal of cancer research and clinical oncology Jul 9, 2024
PURPOSE: To develop a deep learning (DL) model for differentiating between benign and malignant ovarian tumors of Ovarian-Adnexal Reporting and Data System Ultrasound (O-RADS US) Category 4 lesions, and validate its diagnostic performance.
Retrospective Studies Female Aged Humans Deep Learning Young Adult Ultrasonography Adult Ovarian Neoplasms Middle Aged
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Machine learning identifies the role of SMAD6 in the prognosis and drug susceptibility in bladder cancer.

Journal of cancer research and clinical oncology May 20, 2024
BACKGROUND: Bladder cancer (BCa) is among the most prevalent malignant tumors affecting the urinary system. Due to its highly recurrent nature, standard treatments such as surgery often fail to significantly improve patient prognosis. Our research ai...
Humans Machine Learning Cell Proliferation Biomarkers, Tumor Urinary Bladder Neoplasms Cell Line, Tumor Drug Resistance, Neoplasm Smad6 Protein Prognosis Gene Expression Regulation, Neoplastic Tumor Microenvironment
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BiSpec Pairwise AI: guiding the selection of bispecific antibody target combinations with pairwise learning and GPT augmentation.

Journal of cancer research and clinical oncology May 7, 2024
PURPOSE: Bispecific antibodies (BsAbs), capable of targeting two antigens simultaneously, represent a significant advancement by employing dual mechanisms of action for tumor suppression. However, how to pair targets to develop effective and safe bis...
Neoplasms Antibodies, Bispecific Humans Machine Learning
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Two-headed UNetEfficientNets for parallel execution of segmentation and classification of brain tumors: incorporating postprocessing techniques with connected component labelling.

Journal of cancer research and clinical oncology Apr 29, 2024
PURPOSE: The purpose of this study is to develop accurate and automated detection and segmentation methods for brain tumors, given their significant fatality rates, with aggressive malignant tumors like Glioblastoma Multiforme (GBM) having a five-yea...
Image Processing, Computer-Assisted Glioma Magnetic Resonance Imaging Glioblastoma Humans Brain Neoplasms Deep Learning
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Integrative analysis with machine learning identifies diagnostic and prognostic signatures in neuroblastoma based on differentially DNA methylated enhancers between INSS stage 4 and 4S neuroblastoma.

Journal of cancer research and clinical oncology Mar 21, 2024
INTRODUCTION: Accumulating evidence demonstrates that aberrant methylation of enhancers is crucial in gene expression profiles across several cancers. However, the latent effect of differently expressed enhancers between INSS stage 4S and 4 neuroblas...
Risk Factors Tumor Microenvironment DNA Machine Learning Humans Calcium-Binding Proteins Forkhead Transcription Factors Prognosis Neuroblastoma Trans-Activators
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Utilizing large language models in breast cancer management: systematic review.

Journal of cancer research and clinical oncology Mar 19, 2024
PURPOSE: Despite advanced technologies in breast cancer management, challenges remain in efficiently interpreting vast clinical data for patient-specific insights. We reviewed the literature on how large language models (LLMs) such as ChatGPT might o...
Female Breast Neoplasms Humans Artificial Intelligence
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Deep learning algorithm-based multimodal MRI radiomics and pathomics data improve prediction of bone metastases in primary prostate cancer.

Journal of cancer research and clinical oncology Feb 5, 2024
PURPOSE: Bone metastasis is a significant contributor to morbidity and mortality in advanced prostate cancer, and early diagnosis is challenging due to its insidious onset. The use of machine learning to obtain prognostic information from pathologica...
Deep Learning Bone Neoplasms Retrospective Studies Magnetic Resonance Imaging Humans Prostatic Neoplasms Radiomics Algorithms Male
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