Latest AI and machine learning research in pathology for healthcare professionals.
The Barker code is widely used in ultrasonic testing to enhance transmitted energy and achieve high-resolution pulse compression through a matched filter. However, the inherent sidelobe of the Barker code can obscure defect echoes under tough testing environments. To solve this problem, a combined processing method integrating a matched filter, Richardson-Lucy (RL) deconvolution, and a high-pass f...
2',2',4',4'-Tetrabromodiphenyl ether (BDE-47), the most widespread congener of polybrominated diphenyl ethers, has attracted considerable attention due to its environmental persistence and extensive use. Although epidemiological data associate BDE-47 exposure with increased cancer risk, its role in bladder cancer (BC) remains insufficiently characterized. We found that BDE-47 at a physiologically ...
BACKGROUND: Emerging evidence links cellular ageing and biophysical alterations with cancer susceptibility. Existing breast cancer risk models inadequ...
OBJECTIVE: To compare Trajectory Recommendation Algorithm for CT-guided Biopsy (TRAX)-generated lung biopsy puncture pathways versus physician-chosen ...
Collagen remodelling and dysregulation are the hallmarks of diverse pathological conditions. In this context, second-harmonic generation (SHG) imaging...
Atomic force microscopy (AFM) enables label-free nanoscale imaging and nanomechanical profiling but remains constrained by low throughput, operator de...
Nucleus segmentation in immunohistochemistry (IHC) images plays a critical role in cancer diagnosis and treatment assessment. However, existing method...
Fatigue in metallic materials is a cost-intensive engineering challenge due to unpredictable occurrences when undergoing cyclic loading. Particularly ...
Cell-free DNA (cfDNA) in plasma provides attractive opportunities for early cancer diagnosis. This study aimed to establish gastric cancer (GC) artifi...
BACKGROUND: The infection of high-risk human papillomavirus (hr-HPV) and related cervical cancer have greatly threatened women's health. However, the ...
Oral potentially malignant disorders (OPMDs) can directly progress to cancer, necessitating accurate risk prediction to guide clinical intervention. H...
RATIONALE AND OBJECTIVES: Breast cancer is the most common malignancy among females globally and across most Asian countries. In 2022, Asia's age-stan...
INTRODUCTION: Type 2 diabetes (T2D) is a progressive metabolic disorder characterized by insulin resistance and progressive β-cell dysfunction. Early ...
Systemic sclerosis (SSc) is characterized by fibrosis and vasculopathy affecting the skin and internal organs, leading to multiorgan dysfunction. Inju...
Increasing evidence suggests that disulfidptosis plays a crucial role in tumorigenesis and progression. This study aimed to identify biomarkers closel...
Certain characteristics, such as high heterogeneity, a complex tumor microenvironment, metastatic potential, and drug resistance, render Lung cancer (...
Gliomas are the most common type of primary brain tumors. Their management options and outcomes depend significantly on the underlying molecular-marke...
The widespread adoption of computed tomography has increased the detection of lung nodules. However, deep learning methods for classification of benig...
Accurate differentiation between benign and malignant thyroid nodules remains challenging in clinical practice. Current deep learning approaches predo...
Convolutional Neural Networks are widely used in lung cancer detection for more than a decade. However, it suffers from preserving spatial relationshi...