Maria Rosan Trani, Imelda Bilocura, Shazna Bersabal, Rhea Karla Panilagao, Bj Rosos Toledo, Eduardo Garrido, Crystal Aultman, Paul Oh, Gabriela Lima de Melo Ghisi
Effects of a comprehensive structured patient education intervention on disease-related knowledge and behaviour change among people living with type 2 diabetes in the Philippines
Frontiers in rehabilitation sciences
subcutaneous injections increasingly prevalent route administration delivering biological therapies including monoclonal antibodies mabs compared intravenous delivery subcutaneous injections reduce administration costs shorten administration time strongly preferred patient experience point view understanding absorption process mab injection site systemic circulation critical process subcutaneous mab formulation development study built model predict absorption rate constant ka denotes fast mab absorbed site administration trained model enabled xgboost algorithm machine learning predict ka mab following subcutaneous injection using silico molecular properties alone generated primary sequence model need clinically observed plasma concentrationtime data novel capability previously achieved predictive pharmacokinetic models model also showed improved performance benchmarked recently reported mechanistic model relied clinical data predict subcutaneous absorption mabs interpreted model understand molecular properties affect absorption rate showed findings consistent previous studies evaluating subcutaneous absorption direct experimentation taken altogether study reports development validation benchmarking interpretation model predict clinical ka mab using primary sequence input