Deep Learning Boosts PET Kinetic Parameter Estimation for Liver Cancer
A deep neural network-based trust region optimization algorithm outperformed conventional fitting methods in estimating kinetic parameters of hepatocellular carcinoma from ...
A deep neural network-based trust region optimization algorithm outperformed conventional fitting methods in estimating kinetic parameters of hepatocellular carcinoma from ...
A prospective study of 290 Chinese children undergoing stem cell transplantation built a population pharmacokinetic model for busulfan showing that ...
A multidisciplinary 2026 collection links epidemiological, diagnostic, microbiological, immunological and modeling studies to an integrated view of nontuberculous mycobacterial pulmonary ...
A pharmacokinetic and pharmacodynamic modeling study finds that single-dose netupitant maintains neurokinin-1 receptor occupancy far longer than aprepitant, suggesting extended ...
A new review argues that pharmacokinetic modeling frameworks such as PBPK, PopPK, and the proposed MIND workflow can bridge the ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine