Results 151 to 160 of about 17,069,027 (366)

Molecular imaging predicts trastuzumab‐deruxtecan (T‐DXd) response in head and neck cancer xenograft models

open access: yesMolecular Oncology, EarlyView.
Trastuzumab‐deruxtecan, a HER2‐targeting antibody‐drug conjugate, shows promising antitumor activity in head and neck squamous cell carcinoma with low HER2 expression. In vitro and in vivo studies demonstrated dose‐dependent cell death and tumor growth reduction in low HER2‐expressing cell lines, which correlated with drug accumulation measured using a
Abdullah Bin Naveed   +8 more
wiley   +1 more source

Predictive Modeling of Factors Influencing Adherence to SGLT-2 Inhibitors in Ambulatory Care: Insights from Prescription Claims Data Analysis

open access: yesPharmacy
Sodium-glucose cotransporter 2 inhibitors (SGLT2i) are novel oral anti-hyperglycemic drugs that demonstrate cardiovascular and metabolic benefits for patients with type 2 diabetes (T2D), heart failure (HF), and chronic kidney disease (CKD).
Nadia Khartabil   +2 more
doaj   +1 more source

Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses

open access: yesBehavior Research Methods, 2009
F. Faul   +3 more
semanticscholar   +1 more source

Loss of primary cilia promotes EphA2‐mediated endothelial‐to‐mesenchymal transition in the ovarian tumor microenvironment

open access: yesMolecular Oncology, EarlyView.
Loss of primary cilia in endothelial cells promotes EndMT and vascular abnormalities in the ovarian tumor microenvironment through EphA2 activation. Using human samples, in vitro models, and endothelial‐specific Kif3a‐knockout mice, we show that primary cilia loss drives the acquisition of cancer‐associated fibroblast‐like phenotypes, thereby ...
Jin Gu Cho   +11 more
wiley   +1 more source

Battle of Water Demand Forecasting: Integrating Machine Learning with a Heuristic Post-Process for Short-Term Prediction of Urban Water Demand

open access: yesEngineering Proceedings
The challenge in water demand forecasting within a Northeast Italy water distribution network (WDN) involves predicting demands across ten distinct District Metered Areas (DMAs) with varying characteristics and demand profiles.
Alexander Sinske   +2 more
doaj   +1 more source

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