Other Cancers

A temporal keyword co-occurrence network mining framework for detecting structural transitions in cancer biomarker research (2006-2023).

Biomarker research for cancer diagnosis and prognosis has rapidly expanded technologically and thematically, along with advancements in molecular diagnostics, liquid biopsy, immunotherapy, and artificial intelligence (AI)-based technologies. However, few studies have systematically structured these technological transitions and research framework changes using time-series analyses. Accordingly, th...

Multicenter machine learning model for assessing the impact of malignancy on in-hospital mortality in heart failure patients: a clinical decision support system with interpretable artificial intelligence.

Heart failure (HF) and malignancy represent two major global health burdens that frequently coexist and lead to poor clinical outcomes. However, the specific impact of malignancy on in-hospital mortality in HF patients remains incompletely understood, and reliable predictive tools specifically for HF patients with comorbid malignancy are currently lacking. This multicenter retrospective study anal...

Deep learning for predicting patient drug response by transferring gene-level and cell-level knowledge to tumors.

Prediction of patient-level drug response is critical for precision oncology but remains limited by the scarcity of clinical data. While machine learn...

AI-driven volumetric approach for automatic chemotherapy response assessment in colorectal liver metastases.

OBJECTIVES: This study evaluates the clinical utility of an artificial intelligence (AI)-driven volumetric approach for assessing treatment response i...

Habitat analysis and other AI technologies for Ki-67 prediction in hepatocellular carcinoma: a multi-center study.

OBJECTIVES: To develop various artificial intelligence (AI) models including radiomics, deep transfer learning (DTL) and habitat analysis models, as w...

Integrative interpretable learning reveals shared patterns of epitranscriptomic regulation across multiple cancer types.

BACKGROUND: Cancer is a complex set of diseases caused by the dysregulation of cell proliferation, differentiation, and apoptosis, ultimately leading ...

Multicenter validation and randomized crossover reader evaluation of deep learning-assisted tri-sequence three-dimensional MRI segmentation for hypopharyngeal tumor.

BACKGROUND AND PURPOSE: Accurate MRI-based target delineation for hypopharyngeal squamous cell carcinoma (HPSCC) is clinically important but expertise...

Evaluation and enhancement of the prognostic ability of the eighth edition of TNM staging in cutaneous malignant melanoma: a population-based study, using machine learning, of 111 871 patients.

BACKGROUND: Melanoma is the fifth most common cancer in the USA and the UK, with global incidence on the rise. The TNM staging system guides treatment...

Prospects and Challenges of Personalized Immunotherapy in Breast Cancer Treatment and Long-term Cancer Management.

Breast cancer is highly heterogeneous,and different molecular subtypes exhibit significant variations in their response to immunotherapy.While signifi...

Unraveling the Multifunctional and Translational Paradigm of Nanoparticulate Systems against Colorectal Cancer.

Colorectal cancer (CRC) is a health burden due to its high mortality rate, recurrence rate, and drug resistance. The limitations of traditional method...

Novel biomarkers driving treatment selection in metastatic castration-sensitive prostate cancer: fundamentals of personalized clinical decision making.

INTRODUCTION: Prostate cancer is well known to be androgen-dependent, with growth directly relying on the androgen receptor signaling pathway. In fact...

Nanomedicine carrier-based combined antitumor strategy integrating phototherapy and immunotherapy.

INTRODUCTION: The combination of phototherapy (PTT/PDT) and immunotherapy holds promise for cancer treatment but is hindered by poor spatiotemporal co...

Elasticity-guided tumor resection: applying biomechanical information to neurosurgical practice.

Tumor stiffness and adhesion are decisive factors in neurosurgical strategy, yet they remain absent from standard planning and navigation. Advances in...

APTw CEST MRI in therapy-naive IDH-wildtype glioblastoma: insights into tumor heterogeneity and molecular subtypes.

PURPOSE: Advanced MRI techniques may provide non-invasive insight into the molecular heterogeneity of glioblastoma. Amide proton transfer-weighted (AP...

Genome-wide variation in cell-free DNA end motif entropy predicts immunotherapy response in head and neck cancer.

BACKGROUND: Minimally invasive biomarkers predicting immunotherapy response in head and neck squamous cell carcinoma (HNSCC) remain an unmet clinical ...

Temporally consistent longitudinal brain tumor segmentation using a temporal spatial transformer network.

Proper monitoring of tumor progression and evaluation of treatment responses highly depend on longitudinal brain tumor segmentation from MRI data. Cur...

Robust transcriptomic signatures of Alzheimer's disease progression: validated explainable AI approach.

The lack of validated stage-specific biomarkers hampers the understanding of Alzheimer's disease (AD) progression and clinical translation. Current tr...

Development and validation of artificial intelligence-based model for bladder cancer immunophenotyping using whole slide images.

The classification of immunophenotypes in muscle-invasive bladder cancer (MIBC) is critical for predicting immunotherapy response and clinical outcome...

Deep learning-based prediction of lymph node metastasis and occult tumor cells in gastric cancer using histopathological images: a retrospective study.

BACKGROUND: Lymph node metastasis (LNM) is an important prognostic factor but is often underdiagnosed due to limitations in conventional assessment me...

Artificial intelligence integrated multi-omics and multimodal studies promote the efficacy of neoadjuvant chemotherapy in breast cancer: opportunities, challenges, and future perspectives.

BACKGROUND: Neoadjuvant chemotherapy (NAC) is a critical therapeutic strategy for locally advanced breast cancer; however, its clinical utility is con...