An Integrated AIVIVE-PBPK-QIVIVE Framework with HTTK Validation for Probabilistic Risk Assessment of Neodymium Nitrate

Ning Wang, Jing Leng, Hui-min Zhang, Jing Xu, Ke-lei Qian, Xiu-li Chang, Na-na Sun, Ping Xiao, Xin-yu Hong, Da-sheng Lu · 2026

Read An Integrated AIVIVE-PBPK-QIVIVE Framework with HTTK Validation for Probabilistic Risk Assessment of Neodymium Nitrate by Ning Wang, Jing Leng, Hui-min Zhang, Jing Xu, Ke-lei Qian, Xiu-li Chang, Na-na Sun, Ping Xiao, Xin-yu Hong, Da-sheng Lu (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13188159.txt.

Description

Ning Wang leads a ten-author team assessing a rare earth compound's risks almost entirely by computation, in a study from two thousand twenty-six. Neodymium nitrate is industrially important but toxicologically data-poor. Tests that lean on animals in bulk cannot keep pace with such chemicals.

Their frame chains four methods into one line of work. It starts with an artificial intelligence extrapolation tool. A physiologically based pharmacokinetic model comes next, then a quantitative in-vitro-to-in-vivo bridge. High-throughput toxicokinetic validation caps the line. Generative models predicted toxicity pathways from multi-omics data. Key parameters, like plasma protein binding, were measured to anchor the models. The loop lets computation design the few experiments that count most.

Catalog record

CREATORNing Wang, Jing Leng, Hui-min Zhang, Jing Xu, Ke-lei Qian, Xiu-li Chang, Na-na Sun, Ping Xiao, Xin-yu Hong, Da-sheng Lu
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE31 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC13188159

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