Latest AI and machine learning research in cardiovascular for healthcare professionals.
The tumor microenvironment (TME) is a complex ecosystem of diverse cell types whose interactions gov...
Cancer of unknown primary (CUP) remains a major diagnostic hurdle, compromising therapies that depen...
The metabolic heterogeneity of breast cancer represents a significant challenge for the identificati...
Patient-derived organoids (PDOs) are emerging as advanced 3D ex vivo novel alternative method (NAM) ...
While gene sequencing is routine in cancer care, translating sequences into treatment decisions rema...
Breast cancer (BRCA) is a leading cause of cancer-related mortality in women, characterized by marke...
Transformer-based single-cell foundation models often rely on ranked-gene (RG) sequences where genes...
Accurate RNA splicing is essential for gene expression and protein function, yet the mechanisms gove...
Artificial intelligence (AI) is making notable advances in digital pathology but faces challenges in...
Advancements in transmission electron microscopy (TEM) have enabled in-depth studies of biological s...
Accurate molecular subtyping of cancer is crucial for advancing personalized medicine. Although mult...
Identifying image features that associate strongly with diagnostic or prognostic classes in large-sc...
Adoptive cell therapy with tumor-infiltrating lymphocytes (ACT-TILs) involves autologous TILs that a...
Esophageal-gastric cancers (EC) represent a significant global health concern, with esophageal cance...
Spaceflight presents unique environmental stressors, such as microgravity and radiation, that signif...
Recurrence related to poor prognosis is a leading cause of mortality in patients with breast cancer ...
Triple-negative breast cancer (TNBC) is an aggressive malignancy with limited targeted therapies and...
The tumor microenvironment (TME) significantly impacts cancer progression and overall patient surviv...
Muscle-Invasive Bladder Cancer (MIBC) is a heterogeneous disease with distinct molecular subtypes in...
Accurately estimating changes in binding free energy (ΔΔG) is essential for understanding protein-pr...
Precision oncology aims to guide treatment decisions using biomarkers. While DNA-based panels are in...