Current Knowledge on the Use of Computational Toxicology in Hazard Assessment of Metallic Engineered Nanomaterials. [PDF]
Chen G +3 more
europepmc +1 more source
Abstract Background This study describes the development of a data landscape analysis protocol that identifies and characterises animal health data sources to support key regulatory activities throughout the life cycle of veterinary medicines. Methods The protocol included: development of criteria to identify data sources; selection of variables to ...
Ewa Pacholewicz +4 more
wiley +1 more source
NNI Nanoinformatics Conference 2023: Movement Toward a Common Infrastructure for Federal nanoEHS Data Computational Toxicology: Short Communication. [PDF]
Mortensen HM +13 more
europepmc +1 more source
PUMAA: Establishing a protocol for utilizing machine learning in forensic anthropological analyses
Abstract The use of machine learning (ML) models in forensic anthropology (FA) has increased in the last half decade; however, there is a lack of a standardized protocol on how to curate, use, and assess ML models. We introduce PUMAA (A Protocol for Utilizing Machine Learning in Forensic Anthropological Analyses), which includes a flowchart and a ...
Eman Faisal, Tracy L. Rogers
wiley +1 more source
Toxicity assessment of four pharmaceuticals in aquatic environment before and after ferrate(VI) treatment [PDF]
Jiang, Jia-Qian +2 more
core +1 more source
Abstract The rising rate of drug‐related deaths in the United States, largely driven by fentanyl, requires timely and accurate surveillance. However, critical overdose data are often buried in free‐text coroner reports, leading to delays and information loss when coded into ICD (International Classification of Disease)‐10 classifications.
Arthur J. Funnell +8 more
wiley +1 more source
Abstract Sex estimation represents a fundamental step in forensic identification protocols, traditionally relying on morphoscopic pelvic assessment. However, the increasing integration of machine learning approaches and population‐specific validation requirements necessitate comprehensive evaluation of alternative methodologies. This study provides the
Siam Knecht +6 more
wiley +1 more source
Editorial: Leveraging artificial intelligence and open science for toxicological risk assessment
Marc Teunis +3 more
doaj +1 more source
Correction to: Computational toxicology in drug discovery: applications of artificial intelligence in ADMET and toxicity prediction. [PDF]
europepmc +1 more source
Proteomic and Transcriptomic Signatures of Poor Asthma Symptom Control in the U‐BIOPRED Cohort
No stable features were identified as associated with asthma symptom control in transcriptomics or sputum proteomics. Higher TWEAKR/TNFRSF12A and MBL/MBP‐C serum levels increased the odds of uncontrolled symptoms, while higher MK08/MAPK8 and CD5L serum levels decreased the odds, after adjustment for clinical variables.
Joana Antão +294 more
wiley +1 more source

