Oncology/Hematology

Combining computed tomography radiomics and clinical features to predict lymph node metastasis in patients with lung cancer.

BACKGROUND: Accurate preoperative assessment of lymph node metastasis (LNM) is crucial for treatment...

scCAPReSE: detection of large-scale genomic rearrangements from single-cell Hi-C based on few-shot learning.

Large-scale genomic rearrangements are prevalent in cancer genomes and can profoundly rewire three-d...

Comprehensive Multiomics Characterization of Perineural Invasion in Cervical Cancer Reveals Diagnostic Markers, Molecular Drivers, and Therapeutic Strategies.

UNLABELLED: Perineural invasion (PNI) is an important pathologic feature of cervical cancer that is ...

Discovery of Novel MLKL PROTAC Degraders for the Treatment of Hepatocellular Carcinoma via Promoting Parthanatos.

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, primar...

Predicting intrahepatic recurrence of colorectal cancer liver metastases after curative hepatectomy using a machine learning model with data integration of ultrasound radiomics and clinicopathological parameters.

OBJECTIVES: To develop and validate a machine learning model integrating ultrasound radiomics and cl...

An integrated microfluidic system for automatic and self-validated analysis of cervical extracellular vesicle markers PD-L1 and ERBB3.

The early and precise diagnosis of gynecological malignancies, such as cervical cancer, is critical ...

Identified BIRC5 and HDAC1 as novel diagnostic biomarkers linked to centrosome-immune crosstalk for cutaneous squamous cell carcinoma via machine learning-based multi-omics analysis.

CT acquisition protocols in lung cancer screening: implications for guideline development from a worldwide survey.

OBJECTIVES: To assess the currently applied CT image acquisition protocols in lung cancer screening ...

Zero Echo Time Magnetic Resonance Imaging of the Spine.

Zero echo time magnetic resonance imaging is an ultrashort echo time technique that enables computed...

Drug repurposing in oncology: Bridging computational discovery to clinical application.

Drug repurposing, the identification of new therapeutic applications for existing drugs, has emerged...

Smart graphene-enhanced ceramic material refractive index sensor simulation design developed for highly sensitive breast Cancer detection optimized with machine learning.

Based on the surface plasmon resonance (SPR) technique, the proposed biosensor is investigated as an...

Deep learning synthesis of virtual T2-weighted fat-suppressed MR images: a multi-center study.

OBJECTIVES: To develop a Generative Adversarial Network (GAN) for generating virtual T2 fat-suppress...

Development and Validation of an Automated Pediatric Cancer Staging Calculator Using the Toronto Pediatric Cancer Stage Guidelines.

BACKGROUND: Pediatric cancer stage at diagnosis is critical for prognosis and research comparisons. ...

Toward personalized iodine-131 therapy: A review of dosimetric strategies.

BACKGROUND: Iodine-131 (131I) therapy is a cornerstone of nuclear medicine for thyroid diseases and ...

Portable microrobotic platform for non-prehensile mechanophenotyping of biopsy-derived human cancer tissues.

Mechanical characterization of cancer tissues is crucial for understanding tumor progression and res...

Interpretable deep learning radiomics from 18F-FDG PET/CT for differentiating diffuse large B-cell lymphoma and follicular lymphoma.

Study of bladder cancer detection in standard white light versus AI-supported endoscopy-01 (RAISE-01) - Development and validation of an AI-based support tool.

BACKGROUND: Diagnosis and surveillance of bladder cancer rely on white-light cystoscopy (WLC). Howev...

GeoPMB: An Interface-Aware Geometric Deep Learning Framework for Peptide-MHCI Binding Prediction with Evolutionary Insight.

The binding of peptides to class I major histocompatibility complex (MHCI) molecules is central to a...

Free Energy Calculation Method Based on Enhanced Sampling of Diverse Protein Conformations Predicted by Artificial Intelligence.

Recent advances in artificial intelligence (AI) have enabled the rapid and accurate prediction of di...

Integrative Approaches in Lung Cancer Diagnosis: Bridging Molecular Biomarkers and AI Driven Imaging.

Though critical, traditional diagnostic approaches such as X-ray, CT scans, bronchoscopy and tissue ...

Homologous recombination deficiency in Ovarian cancer: The game-changer for first-line maintenance therapy.

Homologous recombination deficiency (HRD) plays a central role in the pathogenesis and therapeutic v...