Pathology

Integrating scanning electron microscopy, explainable deep learning, and ITS sequencing for accurate identification in some species Geastrum.

The differentiation of species within the genus Geastrum remains a challenging task due to the strong morphological similarity among taxa and the limited discriminatory power of macroscopic characteristics alone. Although molecular approaches based on DNA extraction, PCR amplification, and ITS sequencing provide reliable taxonomic resolution, they are labor-intensive, destructive, and unsuitable f...

Estimating genotype-tissue specific gene expression using hybrid deep learning.

Genotype-tissue expression profiles are critical for understanding how genetic variation influences gene regulation across tissues, yet they are often missing or incomplete, and experimental profiling is costly and time-consuming. Although computational approaches exist for multi-tissue imputation and sequence-based expression prediction, they do not explicitly use expression information from neig...

Integrative bioinformatic analysis prioritizes TIMP1 and FN1 as angiogenesis-related candidate genes in diabetic foot ulcers.

BACKGROUND: Diabetic foot ulcers (DFUs) represent a severe chronic complication of diabetes and are characterized by persistent impairment of wound he...

TIMEL: Deep learning-statistical integration reveals spatial stromal and immune signatures of aggressive colon cancer.

BACKGROUND: Characterizing the tumor immune microenvironment (TIME) is essential for understanding anti-tumoral responses in colon cancer. This study ...

Deep learning-based 3D leukocyte differentiation using label-free higher harmonic generation microscopy.

BACKGROUND: Both in clinical practice and translational research, cell differentiation of leukocytes provides important diagnostic information and ins...

Copper transporters promote the malignant progression of glioblastoma by regulating the immunosuppressive tumour microenvironment via the SLC31A1-WNT5A axis.

BACKGROUND: The prognosis for patients with glioblastoma (GBM) remains extremely poor, a challenge largely attributable to the complex nature of its m...

Impact of Pre-freezing on Palatal Rugae-Based Postmortem Identification: Discriminant Classification of Intraoral Scans in an Ex Vivo Porcine Model.

OBJECTIVES: As the use of intraoral scanners becomes routine in digital dentistry, digitally recorded palatal anatomy may become a potential adjunctiv...

The VP1 Protein of Foot-and-Mouth Disease Virus: Bridging Pathogenicity and Control Strategies.

The Foot-and-mouth disease virus (FMDV) is a highly contagious pathogen affecting cloven-hoofed animals. Its major structural protein, VP1, serves as ...

Research progress of diffusion tensor imaging in lumbar degenerative diseases: a narrative review.

Degenerative diseases of the lumbar spine are a common cause of chronic low back pain and neurological dysfunction. Their pathological basis involves ...

Molecular Functions and Drug Prediction of MMP1 and TGFBR2 in Nasopharyngeal Carcinoma.

BACKGROUND: Nasopharyngeal carcinoma (NPC) is partially driven by epithelial-mesenchymal transition (EMT). We identified potential EMT-related biomark...

The promise of artificial intelligence in diagnostic breast pathology.

Accurate pathology diagnosis has remained the most essential factor in providing optimal breast cancer care across the globe. Core needle biopsies acc...

CBAM-Xception: An Attention-Guided Framework for Skin Cancer Classification.

Skin cancer is a potentially fatal disease that requires early and accurate diagnosis to improve patient outcomes. Deep learning has shown promise in ...

Deep Learning Framework for Early Detection of Pancreatic Cancer Using Multi-modal Medical Imaging Analysis.

Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal forms of cancer, with a five-year survival rate below 10% primarily due to late...

Molecular mechanism leading to human coronary atherosclerosis assessed by proteomic analysis and RNA sequences.

BACKGROUND AND AIMS: Atherosclerosis results from cellular and extracellular changes in the arterial wall, preceded by molecular shifts that initiate ...

Interpreting MALDI imaging data for rare types of ampullary cancer using machine learning.

Rare tumor diseases are difficult to diagnose and there is a lack of routine diagnostic procedures. Approaches must be found that allow comprehensive ...

Efficient deep learning models for oral squamous cell carcinoma classification in histopathological images.

Recent advances in deep learning have significantly improved the accuracy and efficiency of disease classification in digital pathology. Early diagnos...

Integrative bioinformatics analysis unveils neuro-cancer crosstalk-related genes and establishes prognostic risk model in Glioblastoma.

Neuro-cancer crosstalk plays an important role in the development and progression of Glioblastoma (GBM), but its specific mechanisms remain incomplete...

Cross-cancer homologous recombination deficiency prediction from whole slide images using transfer learning.

Accurate prediction of Homologous Recombination Deficiency (HRD) is vital for personalized cancer therapy, yet genomic assays are often costly and com...

Performance and generalization analysis of machine learning, deep learning, and transformer models for histopathology image classification.

Histopathology image classification plays a critical role in computer-aided diagnosis by supporting pathologists in disease detection and grading. Wit...

The evolution of prostate cancer grading: from Gleason score to risk taxonomy and the artificial intelligence revolution.

Histopathological grading remains the cornerstone of risk stratification in prostate cancer, yet conventional Gleason-based assessment is limited by i...