Oncology/Hematology

Cancer-associated fusion transcripts: mechanisms, functional roles, and clinical implications.

Fusion transcripts are hybrid RNA molecules generated through genomic rearrangements or RNA-level fusion mechanisms. They represent important molecular features of many cancers and can function as oncogenic drivers, diagnostic biomarkers, prognostic indicators, and therapeutic targets. Since the discovery of the BCR::ABL1 fusion in chronic myeloid leukemia, numerous cancer-associated fusion transc...

Silencing SLC52A2 promotes tertiary lymphoid structure formation and inhibits IL-17 pathway to ameliorate melanoma progression.

Tertiary lymphoid structure (TLS) correlates with improved prognosis in melanoma. The role of solute carrier family 52 member A2 (SLC52A2) in mediating this interplay and influencing melanoma progression remains unclear. Integrated bioinformatics analysis of melanoma datasets (GSE3189, GSE19234, GSE46801, GSE4587, GSE238207, GSE53223) were applied to identify TLS-associated candidate genes. Machin...

A Deep Learning Framework to Classify Oral Squamous Cell Carcinoma arising in Oral Submucous Fibrosis using Whole-slide Images.

OBJECTIVES: Oral submucous fibrosis (OSF) is a chronic and progressive potentially malignant disorder with an increased risk of transformation to oral...

Graph-Based Neural Network for Malignancy Detection in Breast Ultrasound Images using Medically Significant Features.

OBJECTIVE: Breast ultrasound imaging is widely used for the early detection of malignant breast lesions. Although deep learning models have shown stro...

Comparison and interpretability of machine learning algorithms to predict survival of patients with prostate cancer.

OBJECTIVE: To evaluate the performance and interpretability of multiple ML algorithms for survival prediction in prostate cancer (CaP) and to assess w...

Three current approaches to preclinical oral squamous cell carcinoma research: a practical, stepwise framework integrating cell lines, organoids, and animal models.

Oral squamous cell carcinoma (OSCC) continues to be associated with a poor prognosis despite recent advances in surgical and adjuvant treatment. Altho...

Association of sarcopenia with treatment tolerance in older adults with acute myeloid leukemia using artificial intelligence computed tomography-segmentation and a geriatric assessment.

Exploratory immunomonitoring during radiochemotherapy in HNSCC and machine-learning reveal immune parameters associated with disease-free survival.

Immunological biomarkers are increasingly relevant for personalized cancer treatment, but peripheral blood-derived biomarkers are not yet used to guid...

Apparent diffusion coefficient radiomics for differentiating benign and malignant PI-RADS 3-5 prostate lesions: external validation.

PURPOSE: To develop and externally validate a simplified apparent diffusion coefficient (ADC)-based MRI radiomics model for differentiating benign and...

Deep Learning Algorithm-Reconstructed Triple-Rule-Out CT: Image Quality and Performance in Evaluating Coronary Lumen Stenosis.

To assess radiation burden and contrast medium load, image quality, and the performance of AI-reader and junior radiologists in evaluating coronary st...

Multi-task Deep Learning via UNETR for PSMA PET/CT Image for Prostate Cancer: Simultaneous Assessment of Prostate Cancer Disease Burden, Treatment Selection and Survival Outcomes.

Prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA PET/CT) provides rich molecular imaging across the prostate ...

Multi-Omics-Driven Insights into Cancer Biology and Therapeutic Targeting.

The increasing biological complexity and heterogeneity of cancer have driven a shift in oncology drug discovery from single-target approaches toward s...

Artificial intelligence for translational personalized neoantigen cancer vaccine development.

Personalized neoantigen cancer vaccine is a promising strategy for precision immunotherapy by targeting patient-specific and mutation-derived tumor an...

Knowledge-driven multimodal mutual learning for cell line-targeted anticancer peptide prediction.

MOTIVATION: As unique drugs positioned between small and macro molecules, anticancer peptides (ACPs) hold great potential in oncotherapy owing to thei...

Integration of Bulk RNA Sequencing and Single-Cell Sequencing to Identify Prognostic Genes Associated With MCDRGs in Neuroblastoma.

Neuroblastoma (NB) is a common pediatric tumor that exhibits significant clinical heterogeneity and substantial prognostic variability. However, there...

Patient-Derived Organoid and Single-Cell Multiomics Reveal Evolution Driven by CEACAM6/KRT19-Mediated Heterogeneity.

Colorectal cancer (CRC) remains a leading cause of cancer mortality globally, with therapeutic efficacy hindered by tumor heterogeneity and drug resis...

Impact of Aggregation Functions and Learning Settings in Privacy-Preserving Federated Learning for Skin Cancer Detection.

Skin cancer is among the most common malignant tumors worldwide, and early detection is essential to improve patient survival and recovery. Convention...

Machine learning provides individualized prediction of outcomes after first complete remission without allo-HSCT consolidation in adult acute myeloid leukemia-A HARMONY study.

Allogeneic hematopoietic stem cell transplantation (allo-HSCT) is a curative treatment option for a significant proportion of patients with acute myel...

Artificial intelligence-based detection of small and intermediate-to-large lymphocytes for cytologic diagnosis of canine lymphoma.

Lymphoma is a common cancer in dogs, which often presents as generalized peripheral lymphadenopathy. Fine needle aspiration is frequently used to inve...

Multi-omics, machine learning, and molecular simulation identify CD44 as a candidate target in endocrine-disrupting chemical-associated thyroid cancer progression.

Endocrine-disrupting chemicals (EDCs) are widely present in the environment and consumer products and may disturb thyroid hormone homeostasis. However...