Results 291 to 300 of about 8,300,854 (416)
Development and external validation of a machine learning model to predict bronchopulmonary dysplasia using dynamic factors. [PDF]
Choi HJ+7 more
europepmc +1 more source
Measuring AMP‐activated protein kinase (AMPK) activity in vitro is crucial for testing AMPK activators or inhibitors with therapeutic potential. Here, we report an enzyme‐linked immunosorbent assay (ELISA)‐based AMPK activity assay with simple steps and high sensitivity, which offers a simple, robust, and cost‐effective alternative to traditional ...
Trezze P. Nguyen, Shangze Lyu, Yang Liu
wiley +1 more source
Machine learning based identification of suicidal ideation using non-suicidal predictors in a university mental health clinic. [PDF]
Ballı M, Dogan AE, Senol SH, Eser HY.
europepmc +1 more source
The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik+3 more
wiley +1 more source
The molecular characteristics of DNA damage and repair related to P53 mutation for predicting the recurrence and immunotherapy response in hepatocellular carcinoma. [PDF]
Ma J+14 more
europepmc +1 more source
SLC7A11 frequently migrates faster in SDS‐PAGE. The present study found that the high hydrophobicity of SLC7A11 causes its anomalous migration in SDS‐PAGE with a low concentration of acrylamide gel. Replacing isoleucine with asparagine reduced hydrophobicity and restored its normal migration at 55 kDa, revealing the role of hydrophobicity and gel ...
Nsengiyumva Emmanuel+13 more
wiley +1 more source
Limited generalizability and high risk of bias in multivariable models predicting conversion risk from mild cognitive impairment to dementia: A systematic review. [PDF]
Vermeulen RJ+6 more
europepmc +1 more source