Results 151 to 160 of about 612,057 (203)
Deep learning prediction of mammographic breast density using screening data. [PDF]
Chen C +7 more
europepmc +1 more source
Interface transmigration reprograms triple‐negative breast cancer cells, triggering a shared switch toward more aggressive and invasive phenotypes. Using a collagen I interface model, this study identifies shared transcriptional changes involving proliferation, chromatin remodeling, and DNA repair pathways.
Cornelia Clemens +3 more
wiley +1 more source
Breast density and risk of breast cancer: masking and detection bias. [PDF]
Lange JM +4 more
europepmc +1 more source
This study shows that stem‐like cells isolated from breast cancer brain metastases drive the spread and growth of tumors in the brain. Among them, a highly adhesive subgroup initiates metastasis and resists many drugs. By closely reflecting patient tumors, these models help identify new targets and improve the development of effective treatments ...
Stefania Faletti +27 more
wiley +1 more source
Breast Density Changes after Risk-Reducing Salpingo-oophorectomy in Women with a Pathogenic Germline Variant in BRCA1 or BRCA2. [PDF]
Loehrer EA +17 more
europepmc +1 more source
An in vitro testicular model is developed by generating connective tissue equivalents from human dermal fibroblast‐derived microtissues and coupling them with human Sertoli cells or human Sertoli cell spheroids. This engineered microenvironment supports Sertoli cell maturation and functionality, providing a promising platform for studying human ...
Annachiara Scalzone +4 more
wiley +1 more source
Cross-field strength and multi-vendor reliability of MagDensity for MRI-based quantitative breast density analysis. [PDF]
Ying J, Cattell R, Huang C.
europepmc +1 more source
Model‐Driven Optimization of Subcutaneous Polymer Prodrugs Achieves Cancer Remission in Mice
A pharmacokinetics/pharmacodynamics (PK/PD) model was developed to evaluate multiple dosing regimens for subcutaneously administered water‐soluble polymer prodrug for cancer therapy. The model enabled prediction of in vivo performance and contributed to the optimization of anticancer efficacy.
Anne Rodallec +5 more
wiley +1 more source
Correlations Between Mammographic Breast Density and Outcomes After Neoadjuvant Chemotherapy in Patients with Locally Advanced Breast Cancer. [PDF]
Agarwal V +5 more
europepmc +1 more source

