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Pengwei Xiao

Showing results (11-20 of 24) with videos related to

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Journal of the Mechanical Behavior of Biomedical Materials|August 15, 2021
Removal of glycosaminoglycans affects the in situ mechanical behavior of extrafibrillar matrix in boneYan Han, Joel Gomez, Rui Hua, et al.
Journal of Hazardous Materials|June 15, 2020
Degradation of polyvinyl chloride microplastics via an electro-Fenton-like system with a TiO<sub>2</sub>/graphite cathodeFei Miao, Yanfeng Liu, Mingming Gao, et al.
Biomechanics and Modeling in Mechanobiology|January 16, 2020
Three-dimensional rendering of trabecular bone microarchitecture using a probabilistic approachMatthew Kirby, Abu Hena Morshed, Joel Gomez, et al.
The Journal of Arthroplasty|May 14, 2026
Underperformance of Machine Learning Algorithms Predicting Extended Lengths of Stay and Readmission in Underrepresented Patient Cohorts After Primary Total Hip ArthroplastyMarium M Raza, Michelle Riyo Shimizu, Pengwei Xiao, et al.
Archives of Orthopaedic and Trauma Surgery|January 17, 2025
Machine learning to predict periprosthetic joint infections following primary total hip arthroplasty using a national databaseMehdi S Salimy, Anirudh Buddhiraju, Tony L-W Chen, et al.
The Journal of Arthroplasty|April 12, 2026
Utility of Machine Learning in Predicting Catastrophic Cardiac Complications Following Hip and Knee Periprosthetic Fracture Surgery Using Preoperative ParametersWilliam T Sampson, Isaiah A Freeman, Michelle R Shimizu, et al.
Nature Communications|August 28, 2019
Fermi level-tuned optics of graphene for attocoulomb-scale quantification of electron transfer at single gold nanoparticlesQing Xia, Zixuan Chen, Pengwei Xiao, et al.
Knee Surgery & Related Research|January 13, 2025
Comparing prediction accuracy for 30-day readmission following primary total knee arthroplasty: the ACS-NSQIP risk calculator versus a novel artificial neural network modelAnirudh Buddhiraju, Michelle Riyo Shimizu, Tony Lin-Wei Chen, et al.
Orthopaedics & Traumatology, Surgery & Research : OTSR|April 4, 2025
Machine learning models based on a national-scale cohort accurately identify patients at high risk of deep vein thrombosis following primary total hip arthroplastyZiwei Huang, Anirudh Buddhiraju, Tony Lin-Wei Chen, et al.
Journal of Orthopaedics|August 5, 2024
Socioeconomic area deprivation index is not associated with postoperative complications following revision total hip and knee joint arthroplastyMichelle Riyo Shimizu, Anirudh Buddhiraju, Tony Lin-Wei Chen, et al.
Pageof 3

Showing results (11-20 of 24) with videos related to

Sort By:
Pageof 3
Journal of the Mechanical Behavior of Biomedical Materials|August 15, 2021
Removal of glycosaminoglycans affects the in situ mechanical behavior of extrafibrillar matrix in boneYan Han, Joel Gomez, Rui Hua, et al.
Journal of Hazardous Materials|June 15, 2020
Degradation of polyvinyl chloride microplastics via an electro-Fenton-like system with a TiO<sub>2</sub>/graphite cathodeFei Miao, Yanfeng Liu, Mingming Gao, et al.
Biomechanics and Modeling in Mechanobiology|January 16, 2020
Three-dimensional rendering of trabecular bone microarchitecture using a probabilistic approachMatthew Kirby, Abu Hena Morshed, Joel Gomez, et al.
The Journal of Arthroplasty|May 14, 2026
Underperformance of Machine Learning Algorithms Predicting Extended Lengths of Stay and Readmission in Underrepresented Patient Cohorts After Primary Total Hip ArthroplastyMarium M Raza, Michelle Riyo Shimizu, Pengwei Xiao, et al.
Archives of Orthopaedic and Trauma Surgery|January 17, 2025
Machine learning to predict periprosthetic joint infections following primary total hip arthroplasty using a national databaseMehdi S Salimy, Anirudh Buddhiraju, Tony L-W Chen, et al.
The Journal of Arthroplasty|April 12, 2026
Utility of Machine Learning in Predicting Catastrophic Cardiac Complications Following Hip and Knee Periprosthetic Fracture Surgery Using Preoperative ParametersWilliam T Sampson, Isaiah A Freeman, Michelle R Shimizu, et al.
Nature Communications|August 28, 2019
Fermi level-tuned optics of graphene for attocoulomb-scale quantification of electron transfer at single gold nanoparticlesQing Xia, Zixuan Chen, Pengwei Xiao, et al.
Knee Surgery & Related Research|January 13, 2025
Comparing prediction accuracy for 30-day readmission following primary total knee arthroplasty: the ACS-NSQIP risk calculator versus a novel artificial neural network modelAnirudh Buddhiraju, Michelle Riyo Shimizu, Tony Lin-Wei Chen, et al.
Orthopaedics & Traumatology, Surgery & Research : OTSR|April 4, 2025
Machine learning models based on a national-scale cohort accurately identify patients at high risk of deep vein thrombosis following primary total hip arthroplastyZiwei Huang, Anirudh Buddhiraju, Tony Lin-Wei Chen, et al.
Journal of Orthopaedics|August 5, 2024
Socioeconomic area deprivation index is not associated with postoperative complications following revision total hip and knee joint arthroplastyMichelle Riyo Shimizu, Anirudh Buddhiraju, Tony Lin-Wei Chen, et al.
Pageof 3