Methods A PubMed search with keywords (“breast neoplasm” or “breast cancer”) and
(“pathology” or “histopathology”) and (“artificial intelligence” or “deep learning”) was …

Breast cancer incidence has increased in the last two decades and, simultaneously, survival
has improved due to earlier detection and improved treatment options. Despite this …

Gene expression profiling is a powerful tool that has been extensively used to investigate
the underlying biology and etiology of diseases, including cancer. Microarray gene …

Background Grading based on histopathologic indicators cannot accurately assess the
prognosis of phyllodes tumor (PT) of the breast. This article aimed to investigate the …

Background Triple-negative breast cancer (TNBC) is the subtype of breast cancer with the
worst prognosis, and traditional survival analysis methods are biased when predicting …

Background Osteosarcoma is the most common primary bone tumor with a poor prognosis.
The aim of this study was to establish a competitive risk model nomogram to predict cancer …

Simple Summary This study aimed to develop an innovative non-linear statistical model to
predict clinical benefit in women with newly diagnosed breast cancer. A logistic generalized …

Methods We included 23,394 individuals with complete baseline clinical data and survival
information who were diagnosed with primary TNBC between 2010 and 2015 based on the …

Utilizing multicellular aggregates (spheroids) for in vitro cancer research offers a
physiologically relevant model that closely mirrors the intricate tumor microenvironment …

OBJETIVO: Identificar los factores asociados con la recidiva de cáncer de mama en
pacientes con cirugía conservadora. MATERIALES Y MÉTODOS: Estudio observacional, de …