Pathology

A tumor microenvironment model for glioma diagnosis and therapeutic evaluation based on the analysis of tissues and biological fluids.

Traditional glioma diagnostic methods have limitations, while liquid biopsy is a promising non-invas...

Transfer learning-motivated intelligent fault diagnosis framework for cross-domain knowledge distillation.

Transfer learning, as a transformative learning paradigm, has revolutionized the application of arti...

Identification of bacterial infection types in decomposition stages at various temperatures using pathology images and artificial intelligence algorithms.

Bacterial infections present a significant threat to human health, and accurate identification of in...

An artificial intelligence accelerated ab initio molecular dynamics dataset for electrochemical interfaces.

Understanding atomic-scale structures at electrochemical interfaces is essential for advancing resea...

3D bioprinting in tissue engineering: current state-of-the-art and challenges towards system standardization and clinical translation.

Over the past decade, 3D bioprinting has made significant progress, transforming into a key innovati...

Classifying Stereotactic Radiosurgery Patients by Primary Diagnosis Using Natural Language Processing of Clinical Notes.

PURPOSE: Accurate identification of the primary tumor diagnosis of patients who have undergone stere...

Visualizing nuclear pore complex plasticity with pan-expansion microscopy.

The exploration of cell-type and environmentally responsive nuclear pore complex (NPC) plasticity re...

Multiscale-fusion models with genomic, topological and pathomic features to predict response to radiation therapy for non-small cell lung cancer patients.

Artificial intelligence models with biomarkers to predict treatment responses to radiation would be ...

Analytical Comparison of Commonly Used Laboratory-Developed Tests for the Assessment of Ki-67 in Breast Carcinoma With an FDA-Approved Benchmark.

Ki-67 immunohistochemistry (IHC), a commonly used assay for breast cancer risk prognostication, has ...

Computational Histology Artificial Intelligence (CHAI) Enhances Risk Stratification of High-grade Ta Non-muscle-invasive Bladder Cancer in a Multicenter Cohort: Comparison to Current European Association of Urology and American Urological Association Stratification Schemes.

3D Quantification of Viral Transduction Efficiency in Living Human Retinal Organoids.

The development of therapeutics builds on testing their efficiency in vitro. To optimize gene therap...

Multi-omics integration of TPX2 in prognostic prediction in resectable hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is a malignant tumor with high incidence and mortality rates globally...

Artificial intelligence-based quantitative bone marrow pathology analysis for myeloproliferative neoplasms.

The evaluation of bone marrow pathology is essential for diagnosing and classifying myeloproliferati...

Soft-tissue prediction based on 3D photographs for virtual surgery planning of orthognathic surgery.

OBJECTIVES: In orthognathic surgery, preoperative three-dimensional soft-tissue simulations are freq...

Multivariate and Machine Learning-Derived Virtual Staining and Biochemical Quantification of Cancer Cells through Raman Hyperspectral Imaging.

Advances in virtual staining and spatial omics have revolutionized our ability to explore cellular a...

Time-Gated Raman Spectroscopy Combined with Deep Learning for Rapid, Label-Free Histopathological Discrimination of Gastric Cancer.

Gastric cancer is one of the most common malignant tumors of the digestive system, with a high morta...

A lipid atlas of the human kidney.

Tissue atlases provide foundational knowledge on the cellular organization and molecular distributio...

Diagnostic accuracy of machine learning-based magnetic resonance imaging models in breast cancer classification: a systematic review and meta-analysis.

OBJECTIVE: This meta-analysis evaluates the diagnostic accuracy of machine learning (ML)-based magne...

Extremity Soft Tissue Sarcoma Reconstruction Nomograms: A Clinicoradiomic, Machine Learning-Powered Predictor of Postoperative Outcomes.

PURPOSE: The choice of wound closure modality after limb-sparing extremity soft-tissue sarcoma (eSTS...

Improving lung cancer diagnosis and survival prediction with deep learning and CT imaging.

Lung cancer is a major cause of cancer-related deaths, and early diagnosis and treatment are crucial...

Machine learning driven biomarker selection for medical diagnosis.

Recent advances in experimental methods have enabled researchers to collect data on thousands of ana...