Pathology

Diagnostic performance of deep learning models on ultrasound images for distinguishing benign from malignant ovarian cysts.

BACKGROUND: Ovarian cysts are a common pelvic disorder in women, and accurate differentiation between benign and malignant types is essential for guiding treatment decisions and prognostic evaluations. However, traditional ultrasound examinations heavily depend on the operator's experience, introducing subjectivity and diagnostic inconsistencies. In recent years, deep learning technologies have de...

Contrastive multimodal deep learning for survival prediction in grade 2/3 gliomas.

BACKGROUND: Accurate survival prediction for grade 2/3 glioma patients remains challenging due to tumor biological heterogeneity and limitations of current prognostic methods that rely on single-modality data. METHODS: We developed a multimodal deep learning framework integrating histopathology whole-slide images, somatic mutations, and clinical-demographic data. A three-stage training pipeline co...

Single-molecule microscopy of biomolecular condensates: From liquid droplets to heterogeneous networks.

Single-molecule microscopy has transformed our view of biomolecular condensates-membraneless organelles that organize cellular biochemistry and are fr...

Update on pleural mesothelioma.

PURPOSE OF REVIEW: Pleural mesothelioma remains a universally lethal cancer with a rising global burden. This underscores the need for pulmonologists ...

Recent Advances in Transducers for Through-Tissue Ultrasonic Power Transfer.

Ultrasonic power transfer (UPT) is gaining traction for wireless energy delivery to implants and wearables because it combines centimeter-scale penetr...

Recent Advances in Analytical Techniques for Cancer Diagnostics and Therapeutics: Combining State-of-the-Art Technologies for Precision Oncology.

Cancer remains a leading global health challenge, necessitating continuous advancements in diagnostics and therapeutics to enhance patient outcomes. A...

Deep learning-enhanced transparent transducer-based photoacoustic microscopy with improved SNR and resolution.

Transparent ultrasonic transducer enables compact coaxial photoacoustic microscopy, but the trade-off between optical transparency and sensitivity and...

A Method for the Detection of Tire Wear Microplastics in Zebrafish Guts by Laterally Resolved LA-ICP-MS-Based Elemental Fingerprinting and Chemometrics.

Tire wear particles (TWPs) are generated by mechanical abrasion of tires on road surfaces and represent a significant source of microplastic pollution...

AI triage of duodenal biopsies improves workflow.

AIMS: To develop, deploy and evaluate artificial intelligence (AI) for triaging duodenal biopsies within a National Health Service (NHS) histopatholog...

Comparative Evaluation of 3D-QALAS Myelin Volume Fraction, Inhomogeneous Magnetization Transfer, and Myelin Water Fraction.

BACKGROUND AND PURPOSE: Accurate in vivo quantification of myelin remains challenging despite advances in MRI. We evaluated three-dimensional syntheti...

A deep learning-based digital biopsy for predicting early recurrence in gastric cancer.

Early postoperative recurrence is a major cause of treatment failure in patients with locally advanced gastric cancer (LAGC), yet current staging syst...

FT-MDNNMDs: early detection of breast cancer using fine-tuned multi-deep neural networks with TCGA and clinical image datasets.

Breast cancer remains one of the leading causes of cancer-related mortality among women worldwide. Early and accurate detection is critical for improv...

AI-Generated Clinical Images of Head-and-Neck Lesions in Plastic Surgery Education: An Expert Evaluation.

BACKGROUND: Clinical images are essential in plastic and reconstructive surgery education, particularly for understanding pathology, planning reconstr...

Cytoplasmic lattices are megadalton storage complexes in mammalian oocytes.

Mammalian oocytes store proteins for embryonic development on abundant structures known as cytoplasmic lattices (CPLs)1; however, the mechanisms by wh...

Malignant Cerebral Edema after Large-Core Anterior Circulation Stroke in the Thrombectomy Era: Prediction and Neurocritical Care Pathways.

Large-core anterior circulation ischemic stroke (LCIS) complicated by malignant cerebral edema (MCE) remains a leading cause of early death and profou...

Convergence of multiplexed immunosensors, nanotechnology, and AI for early pancreatic cancer diagnosis.

Pancreatic cancer (PC) remains one of the deadliest malignancies, largely because of its asymptomatic onset, rapid progression, and absence of sensiti...

Multi-site validation of an AI-based biomarker test for determining ER, PR, and HER2 status from H&E-stained breast cancer slides.

BACKGROUND: The assessment of estrogen/progesterone receptors (ER/PR) and human epidermal growth factor receptor 2 (HER2) is essential for managing br...

Deep Learning-Based Multimodal Fusion of Ultrasound, Cytology, and Clinical Features to Distinguish Follicular Thyroid Carcinoma from Adenoma: A Multicenter Study.

RATIONALE AND OBJECTIVES: Preoperative differentiation between follicular thyroid carcinoma (FTC) and follicular thyroid adenoma (FTA) remains challen...

Imaging Immune Heterogeneity in Nasopharyngeal Carcinoma: A Multidimensional Radiomics Perspective.

RATIONALE AND OBJECTIVES: Nasopharyngeal carcinoma (NPC) is characterized by a distinctive virologic and immunologic profile, in which Epstein-Barr vi...

Multimodal large language models in brain tumor imaging: clinical applications and future perspectives.

The use of multimodal data is essential for the precise diagnosis and treatment of brain tumors. In this context, multimodal data encompass multiseque...