Publications by authors named "Shiyi Fu"
Article Synopsis
- Physiologically Based Pharmacokinetic (PBPK) models can predict how drugs like ractopamine (RAC) behave in organisms, and this study focused on developing a PBPK model specifically for goats after multiple oral doses of RAC.
- The model successfully forecasted the drug's distribution across various tissues, with the lung blood flow volume being the most influential factor affecting plasma, liver, and kidney drug concentrations.
- The research also determined the withdrawal time for RAC, finding that it takes 13 days for the drug to clear from the kidneys, which is crucial for safe drug administration in goats.
Unsorted retired batteries with varied cathode materials hinder the adoption of direct recycling due to their cathode-specific nature. The surge in retired batteries necessitates precise sorting for effective direct recycling, but challenges arise from varying operational histories, diverse manufacturers, and data privacy concerns of recycling collaborators (data owners). Here we show, from a unique dataset of 130 lithium-ion batteries spanning 5 cathode materials and 7 manufacturers, a federated machine learning approach can classify these retired batteries without relying on past operational data, safeguarding the data privacy of recycling collaborators.
View Article and Find Full Text PDFBackground: Triple-negative breast cancer (TNBC) is a highly heterogeneous subtype of breast cancer, showing aggressive clinical behaviors and poor outcomes. It urgently needs new therapeutic strategies to improve the prognosis of TNBC. Bioinformatics analyses have been widely used to identify potential biomarkers for facilitating TNBC diagnosis and management.
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