Latest AI and machine learning research in pathology for healthcare professionals.
To further reduce atmospheric particulate matter concentrations, there is a need for a more precise ...
Understanding molecular dynamics at the nanoscale remains challenging due to limitations in the temp...
Colorectal cancer (CRC) is the second popular cancer in females and third in males, with an increase...
In prostate cancer (PCa), risk calculators have been proposed, relying on clinical parameters and ma...
Thyroid nodules are a common endocrine condition, and accurate differentiation between benign and ma...
Gastric cancer (GC) is one of the most common tumors; one of the reasons for its poor prognosis is t...
BACKGROUND: Tumour vascular density assessed from CD-31 immunohistochemistry (IHC) images has previo...
Histopathological image segmentation is a laborious and time-intensive task, often requiring analysi...
In clinical practice, frozen section (FS) images can be utilized to obtain the immediate pathologica...
RATIONALE AND OBJECTIVES: To develop and validate a machine learning-based prediction model for the ...
Human epidermal growth factor receptor 2 (HER2) is an important biomarker for prognosis and predicti...
Esophagitis is a frequent, but at the molecular level poorly characterized condition with diverse un...
The selection of high-performing cell lines is crucial for biopharmaceutical production but is often...
INTRODUCTION: Oral cancer, especially oral squamous cell carcinoma (OSCC), is a global health challe...
The thyrohyoid complex and cervical spine fracture distribution patterns may reflect the knot positi...
Motivated by the need of rapid detection of living microalgae cells in ship ballast water, this stud...
With the advancement of population aging, the incidence of orthopedic diseases increases annually. T...
OBJECTIVE: Although artificial intelligence (AI) is increasingly being applied to ultrasound imaging...
Biomarkers for discrimination among different subgroups of idiopathic inflammatory myopathies (IIM) ...
This paper introduces SkinWiseNet (SWNet), a deep convolutional neural network designed for the dete...
Malignant gliomas, including glioblastoma, are amongst the most aggressive primary brain tumours, ch...