Latest AI and machine learning research in other cancers for healthcare professionals.
Early detection of esophageal cancer (EC) remains a major challenge due to the limited understanding...
BACKGROUND AND AIMS: Liver fibrosis is a progressive accumulation of extracellular matrix proteins w...
OBJECTIVES: This study proposes a deep learning framework and an annotation methodology for the auto...
Cyclin-dependent kinase 4/6 inhibitors (CDK4/6i) are an integral first-line treatment for hormone re...
OBJECTIVE: To investigate the performance of various convolutional neural networks (CNNs) in identif...
Accurate identification of material structures is crucial for establishing reliable structure-proper...
Low-permeability (LP) tumor vasculature constitutes a major barrier to efficient nanomedicine delive...
The tumor immune microenvironment and intratumoral microbiota play critical roles in cancer progress...
PURPOSE: Soft tissue tumors (STT) are highly heterogeneous neoplasms with more than 100 recognized s...
CLINICAL/METHODICAL ISSUE: Eosinophilic pneumonias are rare inflammatory lung diseases with heteroge...
BACKGROUND: N-Nitrosodimethylamine (NDMA), classified as a Group 1 carcinogen by the International A...
Pheochromocytomas and paragangliomas (PPGLs) are rare neuroendocrine tumors originating from neural ...
OBJECTIVES: To develop and validate a primary tumor-derived, multiparametric MRI-based deep learning...
Colorectal cancer (CRC) is the third most common malignancy worldwide, and early detection is vital ...
OBJECTIVE: Chronic kidney disease (CKD) is a significant concern following renal tumor surgery, impa...
CONTEXT.—: Lymph node (LN) assessment plays a critical role in cancer staging and prognosis but rema...
Classification of tumors in neuro-oncology today relies on molecular patterns (mostly DNA methylatio...
This study employed an integrative computational and systems biology framework to define a diagnosti...
BACKGROUND: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analy...
Molecularly imprinted technology （MIT） represents an advanced synthetic strategy that emulates biolo...
The scarcity of reliable biomarkers and predictive models for platinum resistance in lung adenocarci...