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Conditioning with cytotoxic chemotherapy and total body irradiation leaves patients severely immunocompromised. T\u2010cell reconstitution can take several years due to delayed restoration of thymic output. Understanding T\u2010cell reconstitution in children is complicated by normal immune system maturation, heterogeneous diagnoses, and sparse uneven sampling due to the long time spans involved. We describe here a mechanistic mathematical model for CD4 T\u2010cell immune reconstitution following pediatric transplantation. Including relevant biology and using mixed\u2010effects modeling allowed the factors affecting reconstitution to be identified. Bayesian predictions for the long\u2010term reconstitution trajectories of individual children were then obtained using early post\u2010transplant data. The model was developed using data from 288 children; its predictive ability validated on data from a further 75 children, with long\u2010term reconstitution predicted accurately in 81% of the patients.<\/jats:p>","DOI":"10.1002\/cpt.621","type":"journal-article","created":{"date-parts":[[2017,1,11]],"date-time":"2017-01-11T08:28:47Z","timestamp":1484123327000},"page":"349-357","source":"Crossref","is-referenced-by-count":21,"title":["Predicting CD4 T\u2010Cell Reconstitution Following Pediatric Hematopoietic Stem Cell Transplantation"],"prefix":"10.1111","volume":"102","author":[{"given":"RL","family":"Hoare","sequence":"first","affiliation":[{"name":"Centre for Mathematics and Physics in the Life Sciences and Experimental Biology University College London London United Kingdom"},{"name":"Great Ormond Street Institute of Child Health University College London London United 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