Oncology/Hematology

Advances in imaging modalities and tumor classification for vestibular schwannomas.

PURPOSE: Vestibular schwannomas are benign tumors of the cerebellopontine angle that may causesignificant neurological morbidity. Magnetic resonance imaging (MRI) remainsthe diagnostic gold standard; however, recent advances in neuroradiologictechniques have improved lesion characterization and refined surgical planning.This review summarizes contemporary imaging developments and their clinicalrel...

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 (LCS) and thereby fill a knowledge gap to support ...

Zero Echo Time Magnetic Resonance Imaging of the Spine.

Zero echo time magnetic resonance imaging is an ultrashort echo time technique that enables computed tomography-like visualization of cortical and tra...

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

Drug repurposing, the identification of new therapeutic applications for existing drugs, has emerged as a pragmatic and cost-efficient strategy to acc...

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-suppressed (T2FS) sequences from standard T1- and T2-weigh...

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. The Toronto Pediatric Cancer Stage Guidelines stan...

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 certain cancers. This review evaluates the transit...

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 response to therapy. However, common mechanophenotypi...

Integrating transcriptomic data and artificial intelligence to personalize curative treatments for head and neck cancer patients.

Personalized treatment in head and neck cancer remains limited despite substantial biological heterogeneity. Using the SuPerTreat project as a case st...

Next generation approaches in cancer immunotherapy targeting mechanisms beyond PD1 and PDL1.

Predicting aggressiveness of clear cell renal cell carcinoma via mri using artificial intelligence: implications for surgical planning in a retrospective multicenter study.

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). However, this modality is operator-dependent and associ...

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 adaptive immunity, making the identification of imm...

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 diverse protein structures. The predicted conformati...

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 biopsy don't reliably detect lung cancer at early ...

A machine learning framework predicts oncogenic driver mutations from SNP profiles in lung adenocarcinoma.

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 vulnerability of epithelial ovarian cancer (EOC), p...

MicroRNAs in penile cancer: challenges, opportunities, and translational perspectives.

MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression, and dysregulated miRNA expression has been implicated in multiple cancer h...