Pathology

Cervical cancer prediction using machine learning models based on routine blood analysis.

Cervical cancer (CC) is the fourth most common cancer among women globally. The key to preventing an...

The construction of HMME-PDT efficacy prediction model for port-wine stain based on machine learning algorithms.

Hematoporphyrin monomethyl ether-photodynamic therapy (HMME-PDT) is a safe and effective treatment f...

Optimizing the early diagnosis of neurological disorders through the application of machine learning for predictive analytics in medical imaging.

Early diagnosis of Neurological Disorders (ND) such as Alzheimer's disease (AD) and Brain Tumors (BT...

CLASEG: advanced multiclassification and segmentation for differential diagnosis of oral lesions using deep learning.

Oral cancer has a high mortality rate primarily due to delayed diagnoses, highlighting the need for ...

RS-SCBiGRU: a noise-robust neural network for high-speed motor fault diagnosis with limited samples.

Convolutional Neural Networks, with their excellent capabilities for automatic feature discriminatio...

Clustering cell nuclei on microgrooves for disease diagnosis using deep learning.

Various diseases including laminopathies and certain types of cancer are associated with abnormal nu...

Research on fault diagnosis method for variable condition planetary gearbox based on SKN attention mechanism and deep transfer learning.

Deep learning network models are widely applied to fault diagnosis of planetary gearboxes. However, ...

Developing an innovative lung cancer detection model for accurate diagnosis in AI healthcare systems.

Accurate Lung cancer (LC) identification is a big medical problem in the AI-based healthcare systems...

Label-Free Evaluation of Lung and Heart Transplant Biopsies Using Tissue Autofluorescence-Based Virtual Staining.

We present a panel of virtual staining neural networks for lung and heart transplant biopsies, prov...

Benford's Law in histology.

Digital pathology is an emerging field that is gaining popularity due to its numerous advantages ove...

Photoacoustic-Integrated Multimodal Approach for Colorectal Cancer Diagnosis.

Colorectal cancer remains a major global health challenge, emphasizing the need for advanced diagnos...

Transforming heart transplantation care with multi-omics insights.

Heart transplantation (HTx) remains the definitive treatment for patients with end-stage heart disea...

Translational medicine research on the role of key gene network modulation mediated by procyanidin B2 in the precise diagnosis and treatment of multiple sclerosis.

OBJECTIVE: The present study aimed to investigate the potential role and molecular mechanism of proc...

Deep learning radiomics and mediastinal adipose tissue-based nomogram for preoperative prediction of postoperative‌ brain metastasis risk in non-small cell lung cancer.

Leveraging commonality across multiple tissue slices for enhanced whole slide image classification using graph convolutional networks.

BACKGROUND: Accurate classification of histopathological whole slide images (WSIs) is essential for ...

Development and clinical validation of deep learning-based immunohistochemistry prediction models for subtyping and staging of gastrointestinal cancers.

BACKGROUND: Immunohistochemistry (IHC) is a critical tool for tumor diagnosis and treatment, but it ...

Attention-driven hybrid deep learning and SVM model for early Alzheimer's diagnosis using neuroimaging fusion.

Alzheimer's Disease (AD) poses a significant global health challenge, necessitating early and accura...

The value of machine learning based on spectral CT quantitative parameters in the distinguishing benign from malignant thyroid micro-nodules.

BACKGROUND AND AIMS: More cases of thyroid micro-nodules have been diagnosed annually in recent year...

Deep learning-based lung cancer classification of CT images.

Lung cancer remains a leading cause of cancer-related deaths worldwide, with accurate classification...

Validation of an AI-enabled exome/transcriptome liquid biopsy platform for early detection, MRD, disease monitoring, and therapy selection for solid tumors.

Effective clinical management of patients with cancer requires highly accurate diagnosis, precise th...

Quantitative ultrasound classification of healthy and chemically degraded ex-vivo cartilage.

In this study, we explore the potential of ten quantitative (radiofrequency-based) ultrasound parame...