Latest AI and machine learning research in other cancers for healthcare professionals.
Cancer vaccines are an attractive immunotherapeutic approach, and numerous clinical trials are ongoing. However, most candidates have not achieved statistically significant improvements in patient survival. To address these limitations, nanotechnology-enabled cancer nanovaccine platforms have attracted increasing attention. Relative to conventional vaccine formats, cancer nanovaccines can improve ...
The expanding availability of multi-omics profiling and advances in artificial intelli-gence (AI) and machine learning (ML) are changing precision oncology. Molecular testing strategies such as longitudinal liquid biopsy assessment, germline variant analysis, and the evaluation of tumor-infiltrating clonal hematopoiesis (TI-CH) are gain-ing attention, given their potential to inform treatment deci...
BACKGROUND: Large language models (LLMs) and large reasoning models (LRMs) have shown excellent performance on medical benchmarks, although evaluation...
The therapeutic landscape of colorectal cancer (CRC) has evolved with the identification of molecular subtypes, including mismatch repair-deficient/mi...
BACKGROUND: Artificial intelligence (AI)-based computer-aided detection (CADe) systems improve adenoma detection in average-risk colorectal cancer scr...
CONTEXT: Statistical and artificial intelligence (AI)-based methods have informed clinical prognostication for decades, evolving into machine learning...
Accurate differentiation between benign and malignant thyroid nodules on ultrasound remains clinically important, yet interpretation is operator-depen...
Treatment effectiveness is hindered by the phenotypic plasticity of cancer and the genetic complexity of tumors. However, CRISPR-Cas-based medicines f...
Cervical cancer is still a major public-health challenge, especially in low and middle-income countries where there are limited numbers of specialists...
BACKGROUND: Glioblastoma (GBM) has an extremely poor prognosis, and its malignant progression is closely associated with glutamine metabolic reprogram...
BACKGROUND: To investigate the feasibility of MRI-based habitat radiomics to differentiate indeterminate Grade 3 nasopharyngeal lesions into nasophary...
BACKGROUND: The objective of this study was to evaluate whether deep learning radiomic (DLR) models utilizing B-mode ultrasound (BUS) and contrast-enh...
This Tutorial aims to help users analyze molecular dynamics (MD) simulation trajectories while requiring only minimal prior knowledge, identify key me...
BACKGROUND: Positron emission tomography with magnetic resonance imaging (PET/MRI) provides noninvasive molecular characterization of breast cancer an...
The rise of multidrug-resistant microbes, rapidly evolving viruses, and recurring pandemics underscores the urgent need for advanced vaccine technolog...
BACKGROUND: The transition from ductal carcinoma in situ (DCIS) to invasive ductal carcinoma (IDC) is a critical but poorly understood step in breast ...
Uveal melanoma is the most frequent primary intraocular malignancy in adults and is characterized by an aggressive clinical course, high propensity fo...
BACKGROUND: High-risk subsolid pulmonary nodules, especially mixed ground-glass nodules, can represent precancerous or early-stage lung adenocarcinoma...
Gastric cancer (GC) shows strong biological heterogeneity and frequent disruption of inflammatory and metabolic programs, which affect tumor progressi...
BACKGROUND: Current risk stratification for oral tongue squamous cell carcinoma (OTSCC) has limited accuracy in identifying patients who would benefit...