Other Cancers

AdaptiveInvolutionNet: Spatially-adaptive involution with channel-wise attention for breast MRI tumor classification.

BACKGROUND: Early and accurate classification of breast tumors from MRI scans is essential for improving patient outcomes. However, a key limitation of conventional deep learning models, such as Convolutional Neural Networks (CNNs), is their difficulty in capturing the subtle, spatially variant features that are crucial for precise medical image interpretation. OBJECTIVE: To address this limitatio...

In silico discovery and biological evaluation of a novel selective HDAC8 inhibitor featuring 1H-pyrazolo[3,4-b]pyridine scaffold.

Histone deacetylase 8 (HDAC8), a pivotal epigenetic regulator orchestrating chromatin remodeling and transcriptional control, has emerged as a compelling anticancer target owing to its frequent dysregulation in malignancies. The development of isoform-selective inhibitors, however, confronts substantial challenges because of the pronounced structural conservation across HDAC isoforms. This study d...

KRT15 identified by scRNA-Seq and machine learning as stemness regulator and prognostic biomarker in ESCC.

Postoperative recurrence and metastasis in esophageal squamous cell carcinoma (ESCC) are closely associated with cancer stem cells (CSCs), though the ...

The value of artificial intelligence combined with multimodal data analysis in tumor immunotherapy and targeted therapy.

The advent of immunotherapy and targeted therapy has revolutionized oncology treatment in recent years, marking a transformative shift toward precisio...

The role of artificial intelligence in pre-operative prediction of completeness of cytoreduction for peritoneal surface malignancies: a scoping review.

BACKGROUND: Complete cytoreduction is the most important prognostic factor for patients with peritoneal surface malignancies (PSM) and its prediction ...

Oncogenic function and transcriptional dynamics of MYCN in liver tumorigenesis.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality. It is often diagnosed at advanced stages and characterized by high recu...

Novel Lipid Nanoparticle (LNP) Delivery Systems Enabling the Advancement of RNA Therapeutics.

Lipid nanoparticle (LNP)-mRNA technology has profoundly transformed the biomedical landscape, establishing itself as a highly versatile and powerful p...

Where New and Old Technologies Converge: In Search of a Better Way to Predict Pathologic Fracture: Commentary on an article by Shinn Kim, MD, et al.: "Deep Learning Model for Differentiating Between Neoplastic Pathologic Fracture and Nonpathologic Fracture Using Hip Radiographs".

Contemporary Management of Radiation Necrosis: Insights and Avenues.

Radiation necrosis (RN) remains a challenging complication of upfront radiation therapy for both brain metastases and primary tumors. Despite developm...

An odyssey of monoclonal gammopathies: focusing on precursors and the progression from MGUS and SMM to multiple Myeloma, with a brief overview of novel therapeutic strategies.

Monoclonal gammopathies span a continuum from monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM) to overt...

Accuracy of ChatGPT in differentiating ocular surface neoplasms using text-based summaries: a comparative analysis of pterygium, pseudopterygium, and CIN.

PURPOSE: Differentiating conjunctival intraepithelial neoplasia (CIN) from pterygium and pseudopterygium remains clinically challenging, especially in...

Artificial intelligence-powered predictive tools to improve end-of-life decision-making: mini-review.

BACKGROUND: Uncertainty around a patient's prognosis at the end of life remains a major barrier to timely palliative-care involvement and alignment of...

A Multimodal fusion model for predicting nasopharyngeal necrosis after re-irradiation in recurrent nasopharyngeal carcinoma.

OBJECTIVES: To construct a multimodal model integrating computed tomography (CT) imaging, radiotherapy dose, and clinical features to address the clin...

Single-cell systems network and machine learning dissection of ferroptosis in recurrent glioblastoma highlights astrocytic ZFP36 as a therapeutic hub for network medicine repurposing.

BACKGROUND: Recurrent glioblastoma multiforme (rGBM) arises after conventional treatment strategies for primary GBM (pGBM) fail, leading to a more agg...

Development and multicenter validation of a predictive model for malignant pleural effusion recurrence.

Early prediction of malignant pleural effusion (MPE) recurrence within 3 months is essential for optimizing management in lung cancer patients. This s...

Automated CLL cell population detection using a weakly supervised approach and CLL MRD flow cytometry data.

Minimal/measurable residual disease detection is routinely performed as part of post-diagnostic treatment plans for many types of cancer, for which mu...

ERBB2 as a Prognostic Biomarker in Prostate Cancer: Integration of Single-Cell Transcriptomics, Deep Learning, and Immunohistochemical Validation.

Biochemical recurrence (BCR) is a critical factor affecting the prognosis of prostate cancer (PCa) patients, while T cell exhaustion and metastatic pr...

Machine learning-based cfDNA fragmentation profiling using automated capillary electrophoresis for early detection of hepatocellular carcinoma.

BACKGROUND: Early detection of hepatocellular carcinoma (HCC) remains a significant clinical challenge due to the limited sensitivity of current surve...

Germline Pathogenic Variant Prediction Model for Tumor-Only Sequencing Based on Japanese Clinicogenomic Database.

PURPOSE: Germline pathogenic variants (GPV) are frequently identified as secondary findings in cancer gene panel testing. Due to limited data on germl...

Nuclear medicine in predicting hepatocellular carcinoma response.

Immune checkpoint inhibitors and anti-angiogenic targeted therapies have improved outcomes in hepatocellular carcinoma (HCC), but responses remain het...