Oncology/Hematology

Enhanced detection of ovarian cancer using AI-optimized 3D CNNs for PET/CT scan analysis.

This study investigates how deep learning (DL) can enhance ovarian cancer diagnosis and staging usin...

The state of the art in artificial intelligence and digital pathology in prostate cancer.

Prostate cancer is among the most common cancers worldwide, with ~1.5 million new diagnoses globally...

Ensemble of Handcrafted and Learned Features for Colorectal Cancer Classification.

Colorectal cancer (CRC) remains one of the most common and lethal malignancies worldwide. The curren...

In Silico Digital Breast Tomosynthesis Dataset for the Comparative Analysis of Deep Learning Models in Tumor Segmentation.

The scarcity of publicly available digital breast tomosynthesis (DBT) datasets significantly limits ...

Can Machine Learning Predict Metastatic Sites in Pancreatic Ductal Adenocarcinoma? A Radiomic Analysis.

Pancreatic ductal adenocarcinoma (PDAC) exhibits high metastatic potential, with distinct prognoses ...

Diagnostic systematic review and meta-analysis of machine learning in predicting biochemical recurrence of prostate cancer.

Prostate cancer (PCa) is the most prevalent malignant tumor in males, and many patients remain at ri...

Combining mucosal microbiome and host multi-omics data shows prognostic potential in paediatric ulcerative colitis.

Current first-line treatments of paediatric ulcerative colitis (UC) maintain a 6-month remission in ...

Early prediction of proton therapy dose distributions and DVHs for hepatocellular carcinoma using contour-based CNN models from diagnostic CT and MRI.

BACKGROUND: Proton therapy is commonly used for treating hepatocellular carcinoma (HCC); however, it...

Machine learning prediction of early reoperation following lower extremity tumor resection and endoprosthetic reconstruction: A PARITY trial secondary analysis.

Gene expression cluster differences and molecular correlation with the STING pathway in orbital MALT lymphoma and orbital IgG4-related eye disease.

PURPOSE: Mucosa-associated lymphoid tissue (MALT) lymphoma in the orbital region and IgG4-related op...

Rethinking cancer of unknown primary: from diagnostic challenge to targeted treatment.

Cancer of unknown primary (CUP) is a metastatic malignancy for which a primary site of origin cannot...

A multimodal dataset for precision oncology in head and neck cancer.

Head and neck cancer is a common disease and is associated with a poor prognosis. A promising approa...

Artificial intelligence-based digital pathology using H&E-stained whole slide images in immuno-oncology: from immune biomarker detection to immunotherapy response prediction.

Immuno-oncology and the advent of immunotherapies, in particular immune checkpoint inhibitors (ICIs)...

Classification of patients with relapsed/refractory large B-cell lymphoma who do not develop early CRS/NE toxicity using ZUMA clinical trial data.

BACKGROUND: We aimed to develop an actionable and feasible prospective clinical model to estimate to...

Framework to Select Multi-Cancer Detection Assays in the National Cancer Institute's Vanguard Study.

BACKGROUND: The Cancer Screening Research Network (CSRN) is a new clinical trials network funded by ...

Redesigning miR-34a: structural and chemical advances in the therapeutic development of an miRNA anti-cancer agent.

MicroRNAs (miRNAs) represent a promising class of therapeutics due to their ability to down-regulate...

Integrating cell-free DNA methylation of SEPT9 and SFRP2 into a machine learning model for early diagnosis of HCC.

BACKGROUND: Hepatocellular carcinoma (HCC), a primary contributor to cancer-associated mortality, ne...

Neoantigen-driven personalized tumor therapy: An update from discovery to clinical application.

Neoantigens exhibit high immunogenic potential and confer a uniqueness to tumor cells, making them i...

Diagnostic Performance of Imaging-Based Artificial Intelligence Models for Preoperative Detection of Cervical Lymph Node Metastasis in Clinically Node-Negative Papillary Thyroid Carcinoma: A Systematic Review and Meta-Analysis.

PURPOSE: This systematic review and meta-analysis evaluated the performance of imaging-based artific...

Generating targeted and tailored health communication narratives with AI.

Customized narratives are effective tools to promote risk prevention behaviors in populations. Howev...

A technological convergence in hepatobiliary oncology: Evolving roles of smart surgical systems.

Cancer remains a major threat to human health, with the incidence of hepatobiliary tumors consistent...