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Lin, W., Chen, Y., Unadkat, J. D., Zhang, X., Wu, D., & Heimbach, T. (2022). Applications, Challenges, and Outlook for PBPK Modeling and Simulation: A Regulatory, Industrial and Academic Perspective. Pharmaceutical Research, 39(8), 1701–1731. https://doi.org/10.1007/s11095-022-03274-2

Lingineni, K., Aggarwal, V., Morales, J. F., Conrado, D. J., Corey, D., Vong, C., Burton, J., Larkindale, J., Romero, K., Schmidt, S., & Kim, S. (2022). Development of a model-based clinical trial simulation platform to optimize the design of clinical trials for Duchenne muscular dystrophy. CPT: Pharmacometrics & Systems Pharmacology, 11(3), 318–332. https://doi.org/10.1002/psp4.12753

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Liu, J., Xiu, W., Duan, G., & Dong, Q. (2022). Application of 3D Simulation Software in Chemotherapy and Hepatoblastoma Surgery in Children. Frontiers in Surgery, 9, 908381. https://doi.org/10.3389/fsurg.2022.908381

Liu, W., Hu, Y., Li, J., & Chang, J. (2022). Effect of Virtual Reality on Balance Function in Children With Cerebral Palsy: A Systematic Review and Meta-analysis. Frontiers in Public Health, 10, 865474. https://doi.org/10.3389/fpubh.2022.865474

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Malick, W. H., Butt, R., Awan, W. A., Ashfaq, M., & Mahmood, Q. (2022). Effects of Augmented Reality Intervention on the Range of Motion and Muscle Strength of Upper Extremity in Children with Spastic Hemiplegic Cerebral Palsy: A Randomized Clinical Trial. Games for Health Journal, 11(3), 168–176. https://doi.org/10.1089/g4h.2021.0128

Malik, N., Prado, W. L., Lappan, S., Popescu, M., Haddock, B., & Hill, J. O. (2022). Development of an Extended-Reality (XR)-Based Intervention to Treat Adolescent Obesity. International Journal of Environmental Research and Public Health, 19(7). https://doi.org/10.3390/ijerph19074264

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Manoharan, A., Dey, D., Putlibai, S., Ramaiah, S., Anbarasu, A., & Balasubramanian, S. (2022). Epidemiology of Multidrug Resistance among Salmonella enterica serovars typhi and paratyphi A at a Tertiary Pediatric Hospital in India Over a Decade; In-silico Approach to Elucidate the Molecular Mechanism of Quinolone Resistance. International Journal of Infectious Diseases : IJID : Official Publication of the International Society for Infectious Diseases, 119, 146–149. https://doi.org/10.1016/j.ijid.2022.03.050

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McIntosh, R. (2022). Improving Nursing Student Resilience Using Online Simulation and Resilience-Based Content in a Pediatric Course. The Journal of Nursing Education, 61(6), 348–351. https://doi.org/10.3928/01484834-20220404-09

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Munyaw, Y., Gidabayda, J., Yeconia, A., Guga, G., Mduma, E., & Mdoe, P. (2022). Beyond research: Improved perinatal care through scale-up of a Moyo fetal heart rate monitor coupled with simulation training in northern Tanzania for helping babies breathe. BMC Pediatrics, 22(1), 191. https://doi.org/10.1186/s12887-022-03249-7

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Navarro-Mora, G., Alberti, J. J., Mondou, E., Vilardell, D., Vicente Torres, J., Ayguasanosa, J., & Páez, A. (2022). Pharmacokinetic modeling and simulation of subcutaneous and intravenous IgG dosing in patients with primary immunodeficiency diseases. International Immunopharmacology, 104, 108472. https://doi.org/10.1016/j.intimp.2021.108472

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Neupane, D., Sharma, A., Thukral, A., Sankar, M. J., Agarwal, R., & Deorari, A. K. (2022). Simulation Based vs Conventional Training for Initial Steps in Delivery Room Care of Preterm Neonates: An Open Label Randomized Trial. Indian Pediatrics, S097475591600446. http://www.ncbi.nlm.nih.gov/pubmed/36036185

Nguyen, D., Shaik, J. S., Tai, G., Tiffany, C., Perry, C., Dumont, E., Gardiner, D., Barth, A., Singh, R., & Hossain, M. (2022). Comparison between physiologically based pharmacokinetic and population pharmacokinetic modelling to select paediatric doses of gepotidacin in plague. British Journal of Clinical Pharmacology, 88(2), 416–428. https://doi.org/10.1111/bcp.14996

Nianogo, R. A., & Arah, O. A. (2022). Forecasting Obesity and Type 2 Diabetes Incidence and Burden: The ViLA-Obesity Simulation Model. Frontiers in Public Health, 10, 818816. https://doi.org/10.3389/fpubh.2022.818816

Nianogo, R. A., Mueller, M. P., Keeler, B., Kreuger, K., Nhan, L. A., Nobari, T. Z., Crespi, C. M., Osgood, N., Kuo, T., Prelip, M., & Wang, M. C. (2022). Evaluating the impact of community interventions on childhood obesity in populations living in low-income households in Los Angeles: A simulation study. Pediatric Obesity, e12954. https://doi.org/10.1111/ijpo.12954

Noori, S., Ebrahimi, M., Uzunyan, M., Bazyani, D., Noori, A. J., Siassi, B., & Ramanathan, R. (2022). Effectiveness of Simulation Training in Acquiring Echocardiography Skills among Neonatology Care Providers. American Journal of Perinatology. https://doi.org/10.1055/a-1845-2083

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Pacheco, G. S., Leetch, A. N., Patanwala, A. E., Hurst, N. B., Mendelson, J. S., & Sakles, J. C. (2022). The Pediatric Rigid Stylet Improves First-Pass Success Compared With the Standard Malleable Stylet and Tracheal Tube Introducer in a Simulated Pediatric Emergency Intubation. Pediatric Emergency Care. https://doi.org/10.1097/PEC.0000000000002802

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Peer, S. M., Bukhari, S., Desai, M., Tongut, A., Ho, A., Yerebakan, C., Ramakrishnan, K., Sinha, P., Jonas, R. A., Yurasek, G., & Cleary, K. (2022). Compression Device-Assisted Extracorporeal Cardiopulmonary Resuscitation Cannulation in Pediatric Patients-A Simulation Study. World Journal for Pediatric & Congenital Heart Surgery, 13(3), 379–382. https://doi.org/10.1177/21501351221084304

Philippsen, A., Tsuji, S., & Nagai, Y. (2022). Simulating Developmental and Individual Differences of Drawing Behavior in Children Using a Predictive Coding Model. Frontiers in Neurorobotics, 16, 856184. https://doi.org/10.3389/fnbot.2022.856184

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Prieto-Patron, A., Detzel, P., Ramayulis, R., Sudikno, Irene, & Wibowo, Y. (2022). Impact of Fortified Infant Cereals on the Burden of Iron Deficiency Anemia in 6- to 23-Month-Old Indonesian Infants and Young Children: A Health Economic Simulation Model. International Journal of Environmental Research and Public Health, 19(9). https://doi.org/10.3390/ijerph19095416

Privorotskiy, A., Garcia, V. A., Babbitt, L. E., Choi, J. E., & Cata, J. P. (2022). Augmented reality in anesthesia, pain medicine and critical care: A narrative review. Journal of Clinical Monitoring and Computing, 36(1), 33–39. https://doi.org/10.1007/s10877-021-00705-0

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Qiu, H., Huang, M., Cen, J., Chen, J., Liu, X., Li, X., & Zhuang, J. (2022). VR and 3D Printing for Preop Planning of Left Ventricular Myxoma in a Child. The Annals of Thoracic Surgery, 113(6), e457–e460. https://doi.org/10.1016/j.athoracsur.2021.07.094

Rahman, A., Hossain, Z., Kabir, E., & Rois, R. (2022). An assessment of random forest technique using simulation study: Illustration with infant mortality in Bangladesh. Health Information Science and Systems, 10(1), 12. https://doi.org/10.1007/s13755-022-00180-0

Rainusso, N., Lemke, D., & Frugé, E. (2022). A Simulation Workshop for Pediatric Residents Using Team-Based Reflective Practice to Communicate Life-Altering News. Cureus, 14(2), e22695. https://doi.org/10.7759/cureus.22695

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Rizza, F., Vertemara, J., & Tisi, R. (2022). Molecular Dynamics Simulations Reveal Structural Interconnections within Sec14-PH Bipartite Domain from Human Neurofibromin. International Journal of Molecular Sciences, 23(10). https://doi.org/10.3390/ijms23105707

Rodriguez, J., Del-Valle-Soto, C., & Gonzalez-Sanchez, J. (2022). Affective States and Virtual Reality to Improve Gait Rehabilitation: A Preliminary Study. International Journal of Environmental Research and Public Health, 19(15). https://doi.org/10.3390/ijerph19159523

Sá, A. C., Barateiro, A., Bednarz, B. P., Almeida, P., Vaz, P., & Madaleno, T. (2022). Comparison of 3DCRT and IMRT out-of-field doses in pediatric patients using Monte Carlo simulations with treatment planning system calculations and measurements. Frontiers in Oncology, 12, 879167. https://doi.org/10.3389/fonc.2022.879167

Saliba, T., Schmartz, D., Fils, J.-F., & Van Der Linden, P. (2022). The use of virtual reality in children undergoing vascular access procedures: A systematic review and meta-analysis. Journal of Clinical Monitoring and Computing, 36(4), 1003–1012. https://doi.org/10.1007/s10877-021-00725-w

Sanaat, A., Jamalizadeh, M., Khanmohammadi, H., Arabi, H., & Zaidi, H. (2022). Active-PET: a multifunctional PET scanner with dynamic gantry size featuring high-resolution and high-sensitivity imaging: A Monte Carlo simulation study. Physics in Medicine and Biology, 67(15). https://doi.org/10.1088/1361-6560/ac7fd8

Sanpablo, A. I. P., Armenta-García, J.-A., Muñiz, A. F., Peñaloza, A. M., Mendoza-Arguilés, A., & Rodríguez, M. D. (2022). Integration of persuasive elements into exergames: Application in the development of a novel gait rehabilitation system for children with musculoskeletal conditions. Journal of Biomedical Informatics, 132, 104130. https://doi.org/10.1016/j.jbi.2022.104130

Sauer, S., Hedt-Gauthier, B., Rivera-Rodriguez, C., & Haneuse, S. (2022). Small-sample inference for cluster-based outcome-dependent sampling schemes in resource-limited settings: Investigating low birthweight in Rwanda. Biometrics, 78(2), 701–715. https://doi.org/10.1111/biom.13423

Schwindt, E. M., Stockenhuber, R., Kainz, T., Stumptner, N., Henkel, M., Hefler, L., & Schwindt, J. C. (2022). Neonatal simulation training decreases the incidence of chest compressions in term newborns. Resuscitation, 178, 109–115. https://doi.org/10.1016/j.resuscitation.2022.06.006

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Shahmoradi, L., & Rezayi, S. (2022). Cognitive rehabilitation in people with autism spectrum disorder: A systematic review of emerging virtual reality-based approaches. Journal of Neuroengineering and Rehabilitation, 19(1), 91. https://doi.org/10.1186/s12984-022-01069-5

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Tanriverdi, M., Cakir, E., Akkoyunlu, M. E., & Cakir, F. B. (2022). Effect of virtual reality-based exercise intervention on sleep quality in children with acute lymphoblastic leukemia and healthy siblings: A randomized controlled trial. Palliative & Supportive Care, 20(4), 455–461. https://doi.org/10.1017/S1478951522000268

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