Results 111 to 120 of about 169,283,811 (262)
IGF2 knockout reduces but does not abolish osteosarcoma growth in vitro and in vivo
To test whether endogenous IGF2 promotes osteosarcoma growth, IGF2 was knocked out in Saos2 cells via CRISPR‐Cas9. KO cells showed reduced proliferation in vitro, and knockout xenografts in mice reached only ~25% of wild‐type tumor volume. Insulin‐like growth factor 2 (IGF2) is implicated in osteosarcoma, but direct functional evidence of its role is ...
Shun Yao, Marco Archetti
wiley +1 more source
EFSA requested its Scientific Committee to prepare a guidance document on appraising and integrating evidence from epidemiological studies for use in EFSA's scientific assessments. The guidance document provides an introduction to epidemiological studies
EFSA Scientific Committee +24 more
doaj +1 more source
In vitro generation of regulatory T cells: A challenging tool for studying immune aging in humans
In vitro induction of human regulatory T cells using standard protocols generates suppressive, Foxp3‐expressing CD4+ T cells independently of TGF‐β supplementation and donor age. Regulatory T (Treg) cells play a key role in immune tolerance and homeostasis.
Lynn Muller +3 more
wiley +1 more source
Cancer treatment is associated with measurable acceleration of biological aging across epigenetic, telomere, senescence, and immune biomarkers. However, biomarker validation and interventional strategies remain limited, especially in hematologic malignancies, underscoring the need for standardized multi‐omic aging assessments and adequately powered ...
Moataz Ellithi +3 more
wiley +1 more source
On Production Function Estimation with Selectivity and Risk Considerations [PDF]
In the estimation of production functions, ignoring risk considerations can cause inefficient estimates, while biased parameter estimates arise in the presence of sample selection.
Nauges, Celine, Koundouri, Phoebe
core
Machine learning models hold promise to revolutionize cardiovascular disease (CVD) prediction in patients with type 2 diabetes, with algorithms such as neural networks demonstrating superior discriminative performance in internal validations.
Hongxuan Li +3 more
doaj +1 more source
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley +1 more source
Risk of bias. Red (−): high risk of bias; Yellow (?): unknown risk of bias; Green (+): low risk of bias.
Xia-feng Yang (524991) +4 more
core +1 more source
ABSTRACT Objectives Acute kidney injury (AKI) is a common but often underrecognized complication in ischemic stroke patients undergoing mechanical thrombectomy, particularly among those with pre‐existing renal impairment. This study evaluated the incidence, risk factors, and clinical impact of AKI in this high‐risk population.
Michał Borończyk +10 more
wiley +1 more source
Myopic Loss Aversion, Asymmetric Correlations, and the Home Bias [PDF]
Myopic loss aversion has been used to explain why a high equity premium might be consistent with plausible levels of risk aversion. The intuition is that it plays the role of high risk aversion in portfolio choice.
Kevin Amonlirdviman +1 more
core

