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160P Predicting immune-related adverse events using biomarkers in early-phase cancer immunotherapy trials

Autor: Fairfax, B.P., Schmid, V.C., Lamparter, D.F., Kam-Thong, T., Scepanovic, P., Duchateau-Nguyen, G., Roller, A., Mohindra, R., Karanikas, V., Heinzmann, D., Adams, C., Mycroft, S.L., Städler, N.

Publikováno v: In Annals of Oncology September 2024 35 Supplement 2:S279-S279

Evaluating parasite densities and estimation of parameters in transmission systems

Autor: Heinzmann D., Torgerson P.R.

Publikováno v: Parasite, Vol 15, Iss 3, Pp 477-483 (2008)

Mathematical modelling of parasite transmission systems can provide useful information about host parasite interactions and biology and parasite population dynamics. In addition good predictive models may assist in designing control programmes to red

Externí odkaz: https://doaj.org/article/d0acab3722e94af387a012233a8307a5

Assessing impact of immunogenicity on clinical outcome: Estimating the treatment effect in post-randomization categorical variables in an RCT

Autor: Heinzmann, D, Kong, S

Publikováno v: 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS); 20200906-20200909; Berlin; DOCAbstr. 54 /20210226/

Background: Immunogenicity refers to the immune response of patients against the therapeutic protein, and in certain instances may affect clinical efficacy or safety. Immunogenicity can be measured by anti-drug antibodies (ADAs) and neutralizing anti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::607397aa3b0b5e8eb8cd23fa47d92495

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