Pathology

Latest AI and machine learning research in pathology for healthcare professionals.

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Identification of key proteins and pathways in myocardial infarction using machine learning approaches.

Acute myocardial infarction (AMI) is a leading cause of global morbidity and mortality, requiring de...

Digital removal of dermal denticle layer using geometric AI from 3D CT scans of shark craniofacial structures enhances anatomical precision.

Craniofacial morphometrics in sharks provide crucial insights into evolutionary history, geographica...

An AI-assisted fluorescence microscopic system for screening mitophagy inducers by simultaneous analysis of mitophagic intermediates.

Mitophagy, the selective autophagic elimination of mitochondria, is essential for maintaining mitoch...

Gradient-driven pixel connectivity convolutional neural networks classification based on U-Net lung nodule segmentation.

Lung cancer is a significant global health issue, heavily burdening healthcare systems. Early detect...

DeepGFT: identifying spatial domains in spatial transcriptomics of complex and 3D tissue using deep learning and graph Fourier transform.

The rapid advancements in spatially resolved transcriptomics (SRT) enable the characterization of ge...

Identifying a gene signature for age-related hearing loss through machine learning and revealing the effect of the CTSS on the mice cochlea.

Age-related hearing loss (ARHL) is one of the most common health conditions among the elderly popula...

Deep learning-based electrical impedance spectroscopy analysis for malignant and potentially malignant oral disorder detection.

Electrical impedance spectroscopy (EIS) is a powerful tool used to investigate the properties of mat...

Immuno-transcriptomic analysis based on machine learning identifies immunity signature genes of chronic rhinosinusitis with nasal polyps.

Chronic rhinosinusitis with nasal polyps (CRSwNP) is a prevalent inflammatory disease where immunomo...

Immunohistochemical biomarker scoring in gastroesophageal cancers: Can computers help us?

The increasing complexity of cancer diagnostics and treatment selection has placed a growing burden ...

Intelligent and precise auxiliary diagnosis of breast tumors using deep learning and radiomics.

BACKGROUND: Breast cancer is the most common malignant tumor among women worldwide, and early diagno...

From Molecular Precision to Clinical Practice: A Comprehensive Review of Bispecific and Trispecific Antibodies in Hematologic Malignancies.

Multispecific antibodies have redefined the immunotherapeutic landscape in hematologic malignancies....

Emerging Imaging Technologies in Forensic Medicine: A Systematic Review of Innovations, Ethical Challenges, and Future Directions.

Forensic medicine has increasingly integrated advanced imaging technologies to improve the accuracy ...

Tumor-specific draining lymph node CD8 T cells orchestrate an anti-tumor response to neoadjuvant PD-1 immune checkpoint blockade.

Elucidating the anti-tumor role of tumor-draining lymph nodes (tdLNs) in patients could offer critic...

Prediction of pathological grade of oral squamous cell carcinoma and construction of prognostic model based on deep learning algorithm.

The aim of this study is to establish a deep learning model for predicting the pathological grade of...

Screening and Identification of Basement Membrane-Related Gene Signatures for Diagnosis in Keratoconus Through WGCNA and Machine Learning.

Keratoconus (KC) can lead to severe vision loss, impacting daily life. The etiology of KC is not ye...

Recent Advancements in Smart Hydrogel-Based Materials in Cartilage Tissue Engineering.

Cartilage tissue engineering (CTE) is an advancing field focused on developing biomimetic scaffolds ...

Mechanical Modulation, Physiological Roles, and Imaging Innovations of Intercellular Calcium Waves in Living Systems.

Long-range intercellular communication is essential for multicellular biological systems to regulate...

NeoPred: dual-phase CT AI forecasts pathologic response to neoadjuvant chemo-immunotherapy in NSCLC.

BACKGROUND: Accurate preoperative prediction of major pathological response or pathological complete...

Neuromethods: Basic Techniques for Evaluating the Nervous System in Nonclinical Studies.

The first session of the 2025 European Society of Toxicologic Pathology (ESTP) Congress reviewed rou...

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