Results 251 to 260 of about 820,187 (404)
Assessing risk of bias in toxicological studies in the era of artificial intelligence. [PDF]
Hartung T, Hoffmann S, Whaley P.
europepmc +1 more source
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod+10 more
wiley +1 more source
Network toxicology reveals glyphosate mechanisms in kidney injury and cancer. [PDF]
Dong Y, Zhu J.
europepmc +1 more source
The Chemistry and Toxicology of Dichlorohexafluorobutene [PDF]
Ellis N. Cohen+3 more
openalex +1 more source
Machine‐Learning‐Guided Analysis of Breast Tumor Malignancy Based on Nuclear Morphological Features
Through statistical and machine learning approaches, we evaluate a clinically relevant dataset comprising more than 500 instances of patient breast tumor nuclei with 10 size and shape features. Our study underscores the significance of nuclear morphological features as potential breast tumor malignancy biomarkers and their combined use with statistical
Aditi Birwadkar+3 more
wiley +1 more source
Meta-analysis of maternal and neonatal outcomes of cannabis use in pregnancy current to March 2024. [PDF]
Sainz K+7 more
europepmc +1 more source
AI‐Driven Microphysiological Systems for Advancing Nanoparticle Therapeutics
This review outlines recent advances in integrating artificial intelligence with microphysiological systems for nanoparticle evaluation. It highlights data‐driven optimization, image‐based prediction, and AI‐enabled analysis frameworks that advance translational research and support the development of personalized nanomedicine. Nanoparticles (NPs) play
Yedam Lee+3 more
wiley +1 more source