Latest AI and machine learning research in oncology/hematology for healthcare professionals.
BACKGROUND: Traditional health care systems have evolved to increasingly recognize patients' perspec...
BACKGROUND: Prostate cancer progression exhibits significant variability influenced by biological an...
BACKGROUND: Continuous Positive Airway Pressure (CPAP) therapy is the standard treatment for obstruc...
Diffuse large B-cell lymphoma (DLBCL) features an immunosuppressive tumor microenvironment (TME), ye...
Osteosarcoma is the most common malignant bone tumor in children and adolescents, usually affecting ...
Preoperative discrimination between follicular thyroid carcinoma (FTC) and follicular thyroid adenom...
Cell type-specific gene expression from single-cell RNA sequencing (RNA-seq) is valuable for breast ...
Magnetic soft continuum robots (MSCRs) offer the possibility for wireless manipulation, compliant sh...
PURPOSE: The inconsistent delineation of the clinical target volume (CTV) in postoperative pelvic ra...
Cell migration is a key biological process underlying wound healing, tissue development, and cancer ...
BACKGROUND AND OBJECTIVE: Radiomic studies in lung cancer have primarily analyzed single-domain feat...
Reconstructing three-dimensional (3D) anatomy from routine X-ray imaging remains a long-standing cha...
BACKGROUND: Basal cell carcinoma (BCC) is the most common skin cancer, and accurate histopathologic ...
Systemic lupus erythematosus (SLE) is a chronic, systemic autoimmune disease characterized by immune...
BACKGROUND: Ovarian cysts are a common pelvic disorder in women, and accurate differentiation betwee...
PURPOSE: Cancers present significant DNA methylation changes, which arise in a stochastic manner, ma...
PURPOSE OF REVIEW: Pleural mesothelioma remains a universally lethal cancer with a rising global bur...
Cancer remains a leading global health challenge, necessitating continuous advancements in diagnosti...
Hepatocellular carcinoma (HCC) often exhibits limited responsiveness to immune checkpoint inhibitors...
Automated segmentation of kidney tumors from computed tomography (CT) scans is crit- ical for diagno...
OBJECTIVE: To develop and evaluate the performance of a predictive machine learning model for poorly...