Oncology/Hematology

A cross-sectional protocol for experimental tongue high-density surface electromyography to detect and classify radiation-associated hypoglossal neuropathy.

BACKGROUND: Hypoglossal neuropathy is the most common lower cranial neuropathy detected as a delayed sequelae of Human Papillomavirus (HPV) -driven oropharyngeal cancer (OPC). Needle electromyography (EMG) is the gold standard for electrodiagnostic testing, but it is invasive and relies on subjective interpretation of the EMG signal. This study explores the potential of non-invasive high-density s...

Capturing "source" and "evolution": A 5-year recurrence risk prediction model for nasopharyngeal carcinoma based on integrated radiomic spatial heterogeneity of primary tumor and lymph nodes.

OBJECTIVE: This study aims to deeply mine the radiomic features of the primary tumor (GTVp) and cervical metastatic lymph nodes (GTVn) in nasopharyngeal carcinoma (NPC) to construct a multi-target synergistic prediction model. The goal is to achieve precise risk stratification for 5-year recurrence in patients at the initial diagnosis stage, providing a scientific basis for formulating individuali...

Cheminformatics analysis, machine learning-based QSAR model building and virtual screening: identification of dual ROCK1 and TGFBR1 inhibitors for the treatment of cancer metastasis.

Rho-associated coiled-coil kinase 1 (ROCK1) and Transforming Growth Factor Beta Receptor 1 (TGFBR1) are pivotal mediators of epithelial-mesenchymal tr...

Distinct bile mycobiome signature identifies fungal peptide panel predictive for gallbladder carcinoma.

Carcinoma of the gallbladder (CAGB) carries a poor prognosis. While alterations in the bile microbiome and lipidome have been linked to CAGB developme...

Digital twins in urological oncology and surgery: A review of emerging applications.

BACKGROUND: Digital twin technology represents a transformative approach in healthcare, creating virtual replicas of physical entities that enable rea...

The Role of Molecular Testing in Head and Neck Squamous Cell Carcinoma of Unknown Primary.

Squamous cell carcinomas of unknown primary (SCCUP), accounting for approximately 5% of head and neck malignancies, present significant clinical chall...

Integrating single-cell transcriptomics and machine learning to predict breast cancer prognosis and immunotherapy sensitivity: a study based on proliferating T cells.

Genetic Predictors of Progression and Skin Rash in Japanese mCSPC Patients Treated With Apalutamide: CUARTET Study.

Despite promising evidence of the efficacy of the androgen deprivation therapy (ADT) plus apalutamide in metastatic castration-sensitive prostate canc...

Quantitative whole-body measurement of inflammothrombotic immunologic response disease using Fleming method for tissue and vascular differentiation and metabolism.

BACKGROUND: Precision theranostics in nuclear medicine requires reproducible, calibrated quantification of tissue perfusion, and metabolism. This stud...

Volumetric phase-specific three-dimensional radiomics and machine learning for differentiation of non-mass enhancement in breast magnetic resonance imaging.

PURPOSE: Non-mass enhancement (NME) in breast magnetic resonance imaging (MRI) is a diagnostically challenging entity due to overlapping benign and ma...

Machine learning-based disentanglement of meteorological and anthropogenic drivers of ozone pollution in the Chengdu-Chongqing urban agglomeration.

To clarify the relative contributions of meteorological conditions and anthropogenic activities to ozone (O3) pollution in the Chengdu-Chongqing urban...

Application of artificial intelligence in paediatric oncology imaging.

Paediatric oncology relies heavily on medical imaging for diagnosis, treatment planning, and longitudinal disease monitoring. Yet the field faces uniq...

Integrating single-cell and bulk transcriptomes to reveal prognostic and immunological features of ecDNA-related genes in osteosarcoma.

BACKGROUND: The role of extrachromosomal DNA (ecDNA)-related genes in osteosarcoma remains largely unexplored. The aim of this study is to investigate...

OCTN1 variants shape innate immunity and predict individual response to anti-TNFα in ulcerative colitis patients: An exploratory study.

BACKGROUND: Ulcerative colitis (UC) exhibits substantial heterogeneity in inflammatory pathways and therapeutic response. The organic cation transport...

CASER: A semi-supervised model with multi-omics data integration prioritizes cancer-associated epigenetic regulator genes.

Prioritizing a reliable list of cancer-associated epigenetic regulators (cERs) is critical for cancer diagnosis and discovery of drug targets. While v...

Evaluation of AI-Driven Automatic Segmentation Algorithms for Lung Shunt Fraction Estimation in 90Y-Labeled Microsphere Therapy.

90Y-labeled microsphere (90Y-microsphere) hepatic arterial radioembolization is a direct treatment for hepatic neoplasms. Before therapy, the fraction...

Next-generation AI for visually occult pancreatic cancer detection in a low-prevalence setting with longitudinal stability and multi-institutional generalisability.

BACKGROUND: Failure of conventional imaging to detect pancreatic ductal adenocarcinoma (PDA) at its visually occult pre-diagnostic stage is a primary ...

[Current status of artificial intelligence applications in cervical cancer screening: a systematic review].

Objective: To systematically summarize and evaluate the current application status and research progress of artificial intelligence (AI) in cervical c...

Face aging rate quantifies change in biological age to predict cancer outcomes.

Chronological age predicts cancer survival but does not capture differences in biological aging rates. We apply FaceAge, an artificial intelligence al...

Graph augmented transformers improve chemotherapy toxicity symptom extraction from clinical notes.

Chemotherapy is essential for cancer treatment but may cause adverse events requiring emergency department visits and hospitalizations, placing substa...