| Smart pooling: AI-powered COVID-19 testing M Escobar, G Jeanneret, L Bravo-Sánchez, A Castillo, C Gómez, ... medrxiv, 2020.07. 13.20152983, 2020 | 13 | 2020 |
| Smart pooling: AI-powered COVID-19 informative group testing M Escobar, G Jeanneret, L Bravo-Sánchez, A Castillo, C Gómez, ... Scientific Reports 12 (1), 6519, 2022 | 7 | 2022 |
| Integrating machine learning with pharmacokinetic models: Benefits of scientific machine learning in adding neural networks components to existing PK models D Valderrama, AV Ponce‐Bobadilla, S Mensing, H Fröhlich, S Stodtmann CPT: Pharmacometrics & Systems Pharmacology 13 (1), 41-53, 2024 | 6 | 2024 |
| Development of an early alert model for pandemic situations in Germany D Wang, M Lentzen, J Botz, D Valderrama, L Deplante, J Perrio, M Génin, ... Scientific Reports 13 (1), 20780, 2023 | 3 | 2023 |
| Machine Learning Methods for Precision Dosing in Anticancer Drug Therapy: A Scoping Review O Teplytska, M Ernst, LM Koltermann, D Valderrama, E Trunz, ... Clinical pharmacokinetics 63 (9), 1221-1237, 2024 | 2 | 2024 |
| A dynamic ensemble model for short-term forecasting in pandemic situations J Botz, D Valderrama, J Guski, H Fröhlich PLOS Global Public Health 4 (8), e0003058, 2024 | 1 | 2024 |
| Drivers of geophagy of large-bodied amazonian herbivorous and frugivorous mammals BM Griffiths, G Hansbrough, LG Griffiths, D Valderrama, MP Gilmore Scientific Reports 14 (1), 29707, 2024 | | 2024 |
| Eating in the hospital: Perceptions of cancer patients D Valderrama, MA Arias, AN Castillo Clinical Nutrition ESPEN 63, 1296-1297, 2024 | | 2024 |
| Comparing Scientific Machine Learning with Population Pharmacokinetic and Classical Machine Learning Approaches for Prediction of Drug Concentrations D Valderrama, O Teplytska, LM Koltermann, E Trunz, E Schmulenson, ... medRxiv, 2024.05. 06.24306555, 2024 | | 2024 |
| A dynamic ensemble model for short-term forecasting in pandemic situations. PLOS Glob Public Health 4 (8): e0003058 J Botz, D Valderrama, J Guski, H Fröhlich | | 2024 |
