AIMC Topic: Prognosis

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Current and future applications of artificial intelligence in lung cancer and mesothelioma.

Thorax
BACKGROUND: Considerable challenges exist in managing lung cancer and mesothelioma, including diagnostic complexity, treatment stratification, early detection and imaging quantification. Variable incidence in mesothelioma also makes equitable provisi...

[Opportunities and challenges in the pathological diagnosis of pediatric tumors in the molecular and artificial intelligence era].

Zhonghua bing li xue za zhi = Chinese journal of pathology
Pediatric tumors differ significantly from adult cancers, possessing unique developmental origins, histological features, and molecular genetic changes. With the rapid advancement of multi-omics technologies, such as genomics, transcriptomics, proteo...

Leveraging Hematologic Single-Cell Measurements for Patient Triage and Outcome Prediction.

The journal of applied laboratory medicine
BACKGROUND: The complete blood count (CBC) is widely used across nearly all areas of medicine. While standard CBC markers reflect basic summaries of the blood cells, modern hematology analyzers generate many additional markers from the underlying dat...

FDG-PET Intensity Normalization Improves Radiomics-Based Survival Prediction in Patients with Oropharyngeal Cancer: A Comparison of the Standardized Uptake Value with Alternative Normalization Techniques.

AJNR. American journal of neuroradiology
BACKGROUND AND PURPOSE: Despite the widespread research application of radiomics, there is a knowledge gap regarding the optimal voxel intensity normalization strategy for FDG-PET radiomics. We investigated the impact of 3 normalization strategies on...

Emerging biomarkers for pancreatic cancer: from early detection to personalized therapy.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico
Pancreatic cancer (PC) remains one of the most lethal malignancies, primarily due to its poor prognosis and late diagnosis. Biomarkers are essential in enhancing diagnostic accuracy, prognostic assessments, and therapeutic strategies, thereby address...

Interplay of PRMTs and Identification of Biomarkers Through Machine Learning Algorithms in Pan-Cancer, Highlighting PRMT3 as a Biomarker in Pancreatic Cancer.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology
Protein arginine methylation was a common post-translational modification, playing a key role in many biological processes and disease. But the regulatory mechanisms of protein arginine methyltransferases (PRMTs) in cancer were not well understood. T...

Comprehensive Analysis of Epigenetic Signatures in Non-Small Cell Lung Cancer: Development and Validation of an Epigenetics-Based Prognostic Model for Drug Sensitivity Prediction.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology
Non-small cell lung cancer (NSCLC) exhibits complex epigenetic dysregulation that impacts treatment response and prognosis, yet comprehensive analysis linking epigenetic signatures to clinical outcomes remains limited. We integrated single-cell RNA s...

Predicting prognosis of light-chain cardiac amyloidosis by magnetic resonance imaging and deep learning.

European heart journal. Cardiovascular Imaging
AIMS: Light-chain cardiac amyloidosis (AL-CA) is a progressive heart disease with high mortality rate and variable prognosis. The presently used Mayo staging method can only stratify patients into four stages, highlighting the necessity for a more in...

Sex-specific prognostic value of automated epicardial adipose tissue quantification on serial lung cancer screening chest computed tomography.

European heart journal. Cardiovascular Imaging
AIMS: Epicardial adipose tissue (EAT) is a metabolically active fat depot associated with coronary atherosclerosis and cardiovascular (CV) risk. While EAT is a known prognostic marker in lung cancer screening, its sex-specific prognostic value remain...