Oncology/Hematology

Radiolabeled drug-delivery and controlled-release nanocarriers for arthritis: Clinical evidence, kinetic modeling, radiation-safety challenges, and precision nanotheranostics.

BACKGROUND: Arthritis comprises a heterogeneous group of inflammatory and degenerative joint disorders characterized by distinct pathological mechanisms, anatomical targets, and therapeutic requirements. Although arthritis is not primarily a pharmacokinetic disorder, several pharmacokinetic and delivery barriers can limit treatment. These include rapid synovial-fluid turnover, vascular and lymphat...

Survival Prediction for Clear Cell Renal Cell Carcinoma Based on Deep Multimodal Synergistic Survival Network.

OBJECTIVE: To propose a deep multimodal synergistic survival analysis framework (Deep Multimodal Synergistic Survival Network, DMSSN) to achieve accurate prognostic analysis for clear cell renal cell carcinoma (ccRCC). METHODS: This study (DMSSN) utilized matched multimodal data from the TCGA-KIRC database, including CT imaging data, whole slide images (WSI), copy number variation (CNV) features, ...

Prediction of Lymph Node Metastasis in Early Gastric Cancer Using Foundation Model Ensembles and Patch-Based Histopathological Interpretation.

PURPOSE: Accurate prediction of lymph node metastasis (LNM) remains challenging in early gastric cancer (EGC), particularly when determining the need ...

A Scalable High-Density Microwell Assay for Single-Cell Clonal Expansion Profiling.

Traditional clonogenic assays remain central to evaluating the self-renewal capacity of tumor cells. However, the assay relies on subjective endpoint ...

Mirror Worlds: The Shared Regulatory Architecture of Cell Fate in Development and Cancer.

Lineage plasticity has emerged as a central mechanism through which cancer cells adapt to therapeutic pressure, evade immune surveillance, and acquire...

MicroRNA profiles as diagnostic tools in pediatric acute lymphoblastic leukemia.

Acute lymphoblastic leukemia (ALL) represents the most common malignancy diagnosed in children, accounting for approximately 25-30% of all pediatric c...

Predicting Synchronous Liver Metastasis in Pancreatic Cancer Using CT Radiomics and Clinical Features: A Machine Learning Approach.

RATIONALE AND OBJECTIVES: To address the challenge of preoperative prediction of synchronous liver metastasis (LM) in pancreatic cancer (PC), we devel...

Multimodal Ultrasound-Based Decision Support for Bethesda IV Thyroid Nodules: Integration of Clinical, Radiomics, Deep Learning, and Topological Features.

To develop and internally validate a multimodal ultrasound-based decision support framework for benign-malignant risk stratification of Bethesda IV th...

Attitudes, perceptions, and UTAUT-based factors influencing the acceptance of medical artificial intelligence among Chinese oncology healthcare professionals: a national cross-sectional survey.

OBJECTIVES: To conduct a nationwide survey among professionals working in oncology departments in China to investigate their attitudes, perceptions, a...

Baseline prediction of two-year prevention and remission of anxiety, depression, and eating disorders in college students receiving a digital guided self-help intervention: derivation and external validation of a machine learning algorithm across 26 population-based cohorts.

INTRODUCTION: We examined whether machine learning identified baseline variables that predicted two-year prevention and remission from anxiety, depres...

From accuracy to service: deciding what artificial intelligence outputs may do in veterinary diagnostic laboratories.

Artificial intelligence (AI) tools are entering veterinary diagnostic laboratory service, but reported model accuracy does not determine what the labo...

Uncoupling Type I Interferon Benefits From Inflammatory Toxicity: Transformer-Prioritized Precision Agonists for Potent and Safer Cancer Immunotherapy.

Paclitaxel (PTX) chemotherapy is constrained by an "immunomodulatory paradox," where antitumor Type I Interferon (IFN-I) activation is coupled with de...

Mesoporous-Shell Monolayer Plasmonic Architecture Enables Quantitative and Decision-Guided SERS.

Quantitative surface-enhanced Raman spectroscopy (SERS) has long been impeded by stochastic hotspot formation, signal instability, and limited chemica...

Multimodal artificial intelligence in prostate cancer: integrating multiparametric MRI with clinicopathological, molecular, and functional imaging data.

Multimodal artificial intelligence (AI) is reshaping prostate cancer imaging by moving beyond MRI-only algorithms toward models that integrate multipa...

Artificial neural network prediction of nonlinear radiative heat transfer and entropy generation in tangent hyperbolic tetra hybrid nanofluid flow over a porous wedge.

An artificial neural network (ANN)-based surrogate modelling approach for forecasting entropy production and heat transfer properties in a tetra-hybri...

AI-Assisted Tumor Boundary Delineation via Targeted Ultrasmall Iron Oxide Nanoprobe for High-Contrast HER2-Positive Tumor Imaging.

Breast cancer continues to be a leading cause of cancer-related mortality in women globally, where precise diagnosis and clear tumor demarcation are c...

An ICD gene set-derived immune contexture signature for colorectal cancer prognosis: integrated single-cell and bulk transcriptomic analysis with external validation.

Immunogenic cell death (ICD) links tumor cell demise with antitumor immunity, but the transcriptional features associated with ICD gene expression pat...

Single-cell and bulk transcriptomic profiling of M2-like tumor-associated macrophages reveals a prognostic signature and an inflammation-metabolism crosstalk program in multiple myeloma.

BACKGROUND: M2-like tumor-associated macrophages (TAMs) contribute to multiple myeloma (MM) progression and treatment resistance, yet their internal h...

Radiologic, Pathologic, and Deep Learning Predictors of Response to Immune Checkpoint Blockade in Renal Cell Carcinoma Patients Undergoing Post-Treatment Nephrectomy.

Response assessment of primary kidney tumors in the consolidation cytoreductive and neoadjuvant settings offers a unique opportunity to inform postope...

Artificial intelligence (AI)-enabled platforms for cancer vaccine engineering.

Cancer vaccines are emerging as a promising approach in immuno-oncology, with the potential to generate tumour-specific and long-lasting immune respon...