Latest AI and machine learning research in other cancers for healthcare professionals.
Invasive breast cancer (IBC) is a prevalent malignant tumor in women, and precise grading plays a pi...
Tertiary lymphoid structures (TLS) are ectopic lymphoid aggregates that form under specific patholog...
Glioblastoma multiforme, one of the most malignant types of brain tumor, heavily relies on glycolyti...
Dysregulation of hepatic metabolism is a crucial factor in the development of fatty liver disease an...
The association between obesity and cancer risk carries substantial public health ramifications as o...
Automatic sleep staging from single-channel electroencephalography (EEG) using artificial intelligen...
Non-small cell lung cancer (NSCLC) constitutes over 80% of lung cancer cases and remains a leading c...
Despite the STING-type-I interferon pathway playing a key role in effective anti-tumor immunity, the...
Accurate prediction of prognosis and postoperative radiotherapy response is critical for personalize...
BACKGROUND: Lung squamous cell carcinoma (LUSC) is a leading cause of cancer-related mortality, and ...
OBJECTIVES: For patients with colorectal liver metastases (CRLM), total tumor volume (TTV) is progno...
BACKGROUND: Current antidepressants have shown certain limitations in the treatment of unipolar depr...
Psychotherapy and antidepressant medications are first-line treatments for depression, and they bot...
Precise intraoperative delineation of tumor margin is critical for maximizing resection completeness...
Glioma is a highly malignant brain tumor with limited treatment options. We employed the Computation...
Liquid biopsy has gained attention in oncology as a non-invasive diagnostic tool, offering valuable ...
BACKGROUND: Malignant pleural mesothelioma (MPM) is a rare type of tumor closely associated with asb...
OBJECTIVES: To develop a machine learning-based model to predict the relapse risk of Primary Autoimm...
Sickle cell retinopathy (SCR) is an ocular manifestation of sickle cell disease (SCD). In SCR abnorm...
PURPOSE: To develop a combined dosiomics and deep learning (DL) model for predicting radiation derma...
Metastasis remains the leading cause of cancer-related mortality, yet predicting future metastasis i...