Latest AI and machine learning research in breast cancer for healthcare professionals.
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...
Female genital tumors (FGTs), including ovarian, endometrial, and cervical cancers, pose a major glo...
Therapeutic antibody design is a complex multi-property optimization problem with substantial promis...
Accurate breast cancer molecular subtyping is critical for treatment decisions, yet standard methods...
1. Microclimates are critical for understanding how organisms interact with their environments, infl...
Controlled exit from and re-entry into the cell cycle is essential for multi-cellular life, while ab...
Organisation and dynamics of chromatin play a key role in regulation of cell state and function. In ...
Acute myeloid leukemia (AML) often enters remission after chemotherapy but frequently relapses due t...
Given the high prevalence of vertebral fractures post-radiotherapy in patients with metastatic spine...
While mammography is commonly used for breast cancer detection, its widespread implementation in res...
HER2 expression level is a key factor in determining the optimal treatment course for breast cancer ...
Artificial intelligence (AI) foundation models such as Segment Anything Model 2 (SAM 2) offer potent...
Conventional chemotherapeutics exploit cancer’s hallmark of active cell cycling, primarily targeting...
The prognostic significance of tumor-infiltrating lymphocytes (TILs) in breast cancer has been recog...
In the field of medical crowdfunding prediction, traditional statistical methods have long been the ...