Oncology/Hematology

dECM bioinks for 3D bioprinted tumor models: Advances, challenges, and drug screening.

The pressing need for high-fidelity in vitro tumor models that accurately recapitulate the native tu...

Unveiling the power of TIIC: A prognostic tool for esophageal adenocarcinoma.

BACKGROUND: Esophageal adenocarcinoma (EAC) remains a lethal malignancy with limited prognostic tool...

Comment on "The diagnostic value of artificial intelligence in oral squamous cell carcinoma: A systematic review and meta-analysis".

Predicting Intratumoral Heterogeneity and Stratifying Prognostic Risk in Gastric Cancer Using a Histology-Based Pathomics-Deep Learning Fusion Model.

Intratumoral heterogeneity (ITH) is a fundamental driver of clonal evolution and therapeutic resista...

Urinary Biomarkers for Cancer Diagnosis and Surveillance: From Analytical Promise to Clinical Utility.

Urine is an attractive source of cancer biomarkers because it can be collected non-invasively and re...

Idiopathic inflammatory myopathies as a damage-data-endotype continuum: A roadmap to precision trials and computable biomarkers.

Idiopathic inflammatory myopathies (IIM) are heterogeneous immune-mediated diseases characterized by...

An integrated automated pipeline for cloning, transient expression, and purification augmenting the plant cell pack platform for biopharmaceutical screening.

Biopharmaceuticals, particularly monoclonal antibodies (mAbs), are a rapidly expanding class of ther...

Radiation dose optimization and dosimetry in pediatric nuclear medicine: Current concepts and future directions.

Pediatric nuclear medicine plays an essential role in the diagnosis and treatment of a wide range of...

Radiomics Model Predicts Efficacy of First-Line CDK4/6 Inhibitor Combined with Endocrine Therapy in HR+/HER2- Advanced Breast Cancer.

INTRODUCTION: The combination of CDK4/6 inhibitors and endocrine therapy is the first-line standard ...

Online adaptive radiotherapy in pelvic and thoracic cancers - comparing toxicities, clinical outcomes and technical parameters between conventional image-guided radiotherapy and online adaptive radiotherapy - the study protocol for the prospective, registry-based cohort study (PRoART).

BACKGROUND: Conventional image-guided radiotherapy (IGRT) typically relies on a computed tomography ...

EBV status prediction in gastric carcinoma biopsy images using multiple bag instance learning and foundation model in multicenter data.

Epstein-Barr virus associated gastric carcinoma (EBVaGC) represents a distinct molecular subtype of ...

Predictive Value of Endoscopy in the Identification of Complete Response After Neoadjuvant Therapy for Rectal Adenocarcinoma.

BACKGROUND: Large-scale evidence on the role of endoscopy alone as the assessment tool to identify c...

Monitoring the Microwave Synthesis of d0-Free Disordered Rocksalt Cathodes Using In Situ Infrared Pyrometry.

A detailed understanding of solid-state reaction pathways is essential for connecting predictive fra...

Artificial intelligence in pituitary surgery: the path to clinical solutions.

Artificial intelligence (AI) is rapidly moving from conceptual innovation to high-performing algorit...

Quantitative magnetic resonance imaging radiomics predicts photoreceptorness status in retinoblastoma.

BACKGROUND: Molecular characteristics of retinoblastoma cannot be assessed before treatment because ...

High-performance MXene/CuNWs/MH-TPU piezoresistive strain sensors fabricated via template-assisted phase separation with integrated thermal-EMI dual protection for emergency rescue.

In recent years, complex and extreme fire environments have posed a severe threat to the safety of f...

TSTScope Unifies Single-Cell Multi-Omics to Identify Functional T Cell States Predictive of Immunotherapy Response.

Immune checkpoint blockade (ICB) can produce durable responses in cancer, but reliable predictors of...

Evaluating Artificial Intelligence Translation Tools for Language Equivalence of Oncology-Informed Consent Forms From English to Spanish.

PURPOSE: Approximately 8% of the US population speaks primary languages other than English. Limited ...

Integrative cfDNA profiling from low-pass whole-genome sequencing enables tissue-of-origin prediction in cancer.

Cancer type classification is challenging due to tumor heterogeneity and undefined tissue of origin ...

Prognostic risk modeling based on integrated multi-omics analysis identifies CRY2 as a key regulator in tumor immunity and patient survival in colorectal cancer.

BACKGROUND: Colorectal cancer (CRC) exhibits substantial metabolic heterogeneity. This study develop...

Spatially resolved tissue architecture and computational pathology in pancreatic cancer.

Pancreatic ductal adenocarcinoma (PDAC) is a complex disease characterized by high levels of cellula...