Oncology/Hematology

Ex vivo JAK and TNF inhibitor-modulated immune signatures guide first-line therapy selection in rheumatoid arthritis.

BACKGROUND: Rheumatoid arthritis (RA) is a heterogeneous autoimmune disease for which selecting the ...

De Novo Design of a TROP-2-Targeting Peptide PET Tracer via AI-Guided Binding Interface Mimicry.

Trophoblast cell surface antigen 2 (TROP-2) is a transmembrane glycoprotein overexpressed across a r...

Multitask Deep Learning Model for Predicting Lymph Node Metastasis and Disease-Free Survival From Cytology Images in Bladder Cancer: A Multicenter Study With Pan-Cytology Validation.

Accurate prediction of lymph node metastasis (LNM) and survival outcomes is crucial for personalized...

Colorectal cancer surveillance in Lynch syndrome: quality standards, emerging technology and complementary strategies.

Lynch syndrome is the most common hereditary colorectal cancer syndrome, and colonoscopy remains the...

Inferring tissue origin from cell-free DNA in metastatic cancer.

A major clinical challenge in metastatic cancer management is determining not only the presence of t...

Cardiovascular Toxicity Across the Cancer Immunotherapy Spectrum: Mechanisms and Management in Immune Checkpoint Inhibitor (ICI) and Chimeric Antigen Receptor T-Cell (CAR-T) Therapy.

PURPOSE OF REVIEW: This review evaluates the evolving landscape of cardiovascular toxicities associa...

Artificial intelligence for symptom assessment and patient-reported outcomes in neuro-oncology.

PURPOSE: Patient-reported outcomes (PROs) are critical tools for measuring how patients experience t...

Artificial intelligence in gamma knife radiosurgery: applications in treatment planning, response prediction, and toxicity assessment.

PURPOSE: Artificial intelligence (AI) is increasingly being developed across the Gamma Knife radiosu...

Artificial intelligence computing of blood based nanofluid transport mechanism under thermal radiation influence.

Bionanofluids along a three-dimensional wedge play a significant role in biomedical and engineering ...

Foundation models for cancer: advancing diagnosis, prognosis, and treatment response-an NCI workshop report.

From March 24-26, 2026, the National Cancer Institute convened the Foundation Models for Cancer Work...

Benchmark Evaluation of Vision-Enabled Large Language Models in Mammography: A Case-Control Study.

OBJECTIVE: To compare the diagnostic performance of five contemporary vision-enabled large language ...

Development of a Novel Real-Time Computer-Assisted Colonoscopy Diagnostic Tool for Colorectal Neoplasia and Cancer to Enable Personalized Patient Management: Protocol for a Multicenter Proof-of-Concept Study.

BACKGROUND: Accurate real-time classification of colorectal polyps during colonoscopy is essential f...

Integrative single-cell and computational pathology analyses reveal a C11orf24-associated stem-like epithelial population linked to tumor microenvironment remodeling and immune evasion in bladder cancer.

BACKGROUND: Cancer stem-like cells drive tumor progression and therapeutic resistance, yet the epith...

A deep learning radiomics model based on multiparametric MRI for predicting the efficacy of neoadjuvant chemotherapy in axillary lymph nodes of breast cancer.

OBJECTIVES: In this study, we developed and validated a deep learning radiomics clinical (DLRC) mode...

HRDPath: an explainable multi-model deep learning architecture for predicting homologous recombination deficiency from histopathology images.

Homologous recombination deficiency (HRD) is a critical biomarker for guiding treatment decisions in...

TRACE-CLDN: An Integrated Computational Pathology Framework for Tumor-Restricted Quantification of CLDN18.2 Expression Burden from H&E Whole-Slide Images in Intrahepatic Cholangiocarcinoma.

Claudin-18.2 (CLDN18.2) is a membrane-associated biomarker with emerging translational relevance in ...

ACR lung-RADS: updates and future directions.

Lung cancer remains the leading cause of cancer-related mortality worldwide, and low-dose CT (LDCT) ...

Artificial intelligence in breast cancer pharmacotherapy: Treatment optimization, medication safety, and the evolving role of oncology pharmacists.

ObjectiveTo critically review current evidence on artificial intelligence (AI) in breast cancer phar...

Opportunities and challenges of artificial intelligence and digital pathology in adult CNS tumors.

PURPOSE: For over a century, the pathologist's interpretation at the microscope was the final word o...

Comment on "machine learning prognostication in nasopharyngeal carcinoma: a european multicentre analysis of survival and risk of second malignancy" - when the best second-cancer model cannot beat predicting "no" for everyone.

Application of machine learning to identify risk factors for bloodstream infections caused by different antimicrobial resistance phenotypes in chemotherapy patients.

PURPOSE: Bloodstream infections (BSIs) remain a major cause of morbidity and mortality in patients u...