Latest AI and machine learning research in other cancers for healthcare professionals.
Breast ultrasound imaging is an important noninvasive method for early breast cancer diagnosis, but ...
Despite years of methodological progress, how far AI has come in liver fibrosis staging has never be...
This study presents a methodology for constructing a clinically verified dataset of dermatoscopic im...
Background Background breast features are frequently noted in pathology reports alongside invasive b...
General-purpose large language models (LLMs) are trained on large corpora to acquire broad knowledge...
Perturbations of genes with functional importance in T cells could be used to change the distributio...
Accurate brain tumor segmentation using multiparametric MRI is critical for effective treatment plan...
Treatment of advanced head and neck squamous cell carcinoma (HNSCC) often involves radiotherapy comb...
Soft tissue sarcomas are a rare, heterogeneous group of tumors whose diagnosis remains challenging b...
Despite the fundamental role of spatial context in driving tumor progression, most current computati...
Delayed diagnosis and poor antiretroviral therapy (ART) adherence remain primary drivers of HIV-rela...
Distant melanoma metastasis at the time of diagnosis is uncommon, but has major implications for pat...
Head and neck squamous cell carcinoma (HNSC) is a prevalent malignancy associated with poor prognosi...
Purpose: In clinical practice, accurate prediction of disease risk must be accompanied by transparen...
In histopathology, human experts primarily rely on color as a means of enhancing contrast to interpr...
Malignant pleural mesothelioma (MPM) is an aggressive asbestos-linked cancer with limited therapeuti...
Spatial transcriptomics enables investigation of tissue organization while preserving molecular and ...
Drug repurposing offers a cost-effective strategy to accelerate therapeutic discovery, but most comp...
Background: Per- and polyfluoroalkyl substances (PFAS), particularly perfluorooctane sulfonate (PFOS...
Introduction Cellular differentiation and lineage commitment are known to be associated with differe...
Effective anti-tumor T cell response depends on both neoantigen quality (non-selfness) and quantity ...