Results 171 to 180 of about 73,306 (292)

Decoding per- and polyfluoroalkyl substances (PFAS) in hepatocellular carcinoma: a multi-omics and computational toxicology approach. [PDF]

J Transl Med
Hong Y, Wang D, Liu Z, Chen Y, Wang Y, Li J.   +5 more
europepmc   +1 more source

Advancing Sclerotinia risk forecasting for winter rapeseed in Germany: integrating crop phenology and disease development into a decision support system

Pest Management Science, EarlyView.
Integrating crop phenology and sclerotia germination models into SkleroPro improved Sclerotinia risk prediction accuracy from 34% to 66%, optimizing fungicide timing and supporting sustainable winter rapeseed production. Abstract BACKGROUND Sclerotinia stem rot, caused by Sclerotinia sclerotiorum, threatens winter rapeseed (Brassica napus) production ...
Vera Krause, Nazanin Zamani‐Noor, Lena Müller, Hella Kehlenbeck, Anto Raja Dominic   +4 more
wiley   +1 more source

Efficiency of pharmaceutical toxicity prediction in computational toxicology. [PDF]

Toxicol Res
Uesawa Y.
europepmc   +1 more source

Computational Toxicology Methods in Chemical Library Design and High-Throughput Screening Hit Validation. [PDF]

Methods Mol Biol, 2018
Hevener KE.
europepmc   +1 more source

Using deep learning to assess the toxicological effects of sublethal exposure of a novel green pesticide in a stored‐product beetle

Pest Management Science, EarlyView.
This study employs an AI‐driven multidisciplinary approach to increase our understanding of the toxicological effects of sublethal concentrations of carlina oxide on Prostephanus truncatus. Sublethal exposure to the carlina oxide induced changes in motor patterns and thigmotaxis, highlighting its potential role in integrated pest management strategies.
Anita Casadei, Maria C. Boukouvala, Gianluca Manduca, Nickolas G. Kavallieratos, Filippo Maggi, Marta Ferrati, Eleonora Spinozzi, Cesare Stefanini, Antonio DeSimone, Donato Romano   +9 more
wiley   +1 more source

Investigating the link between microplastic exposure (benzyl butyl phthalate) and neurodegenerative diseases using high-performance computational toxicology. [PDF]

Toxicol Res (Camb)
Abdulrahman A.
europepmc   +1 more source

Advancing Computational Toxicology in the Big Data Era by Artificial Intelligence: Data-Driven and Mechanism-Driven Modeling for Chemical Toxicity. [PDF]

Chem Res Toxicol, 2019
Ciallella HL, Zhu H.
europepmc   +1 more source

Using expert elicitation to predict feral cat, Felis catus, responses to management

Pest Management Science, EarlyView.
We generated estimates of lethal feral cat management success for 864 scenarios, only 71 lethal management scenarios met a population reduction target of 57%. Cat‐targeted poison baits, in dry conditions and arid areas were most successful. Feral cat management requires continued adaptive strategies to reduce cat impacts.
Annalie Dorph, Sarah Legge, Trent D Penman, Rebecca Cherubin, Shona Elliot‐Kerr, Erica Marshall, Kate Parkins, Guy‐Anthony Ballard   +7 more
wiley   +1 more source

Big-data and machine learning to revamp computational toxicology and its use in risk assessment. [PDF]

Toxicol Res (Camb), 2018
Luechtefeld T, Rowlands C, Hartung T.
europepmc   +1 more source

Recent Advances and Perspectives in UL‐94 V‐0 Rated Flame‐Retardant Polycarbonate: Addressing Challenges Under Per‐ and Polyfluoroalkyl Substances Bans

Safety Science and Technology, EarlyView.
Based on the challenges and motivations of global PFAS bans, this review highlights recent advances in strategies achieving UL‐94 V‐0 flame retardancy in polycarbonate while maintaining critical comprehensive performances, offering perspectives for future R&D. ABSTRACT This review focuses on the recent advancements in the development of UL‐94 V‐0 rated
Ting Sai, Xiaodi Ye, Bingtao Wang, Juan Li, Xin Zhang, Zhenghong Guo, Siqi Huo, Pingan Song, Zhengping Fang   +8 more
wiley   +1 more source