O
Onyi N. Irrechukwu
Researcher at National Institutes of Health
Publications - 13
Citations - 222
Onyi N. Irrechukwu is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 6, co-authored 8 publications receiving 179 citations.
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Journal ArticleDOI
Nondestructive assessment of engineered cartilage constructs using near-infrared spectroscopy
Doruk Baykal,Onyi N. Irrechukwu,Ping Chang Lin,Kate Fritton,Richard G. Spencer,Nancy Pleshko +5 more
TL;DR: The ability of NIRS to monitor macromolecular content of cartilage constructs is demonstrated and is the first step towards employing NIR to assess engineered cartilage in situ.
Journal ArticleDOI
Mapping proteoglycan-bound water in cartilage: improved specificity of matrix assessment using multiexponential transverse relaxation analysis
David A. Reiter,Remigio A. Roque,Ping Chang Lin,Onyi N. Irrechukwu,Stephen B. Doty,Dan L. Longo,Nancy Pleshko,Richard G. Spencer +7 more
TL;DR: The results demonstrate the feasibility of performing imaging‐based multiexponential analysis of transverse relaxation data to map PG in cartilage and demonstrate the accuracy and precision of the determination was within 2%, which is well‐within the observed tissue differences.
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Improved MR-based characterization of engineered cartilage using multiexponential T2 relaxation and multivariate analysis
David A. Reiter,Onyi N. Irrechukwu,Ping Chang Lin,Somaieh Moghadam,Sarah Von Thaer,Nancy Pleshko,Richard G. Spencer +6 more
TL;DR: Two new approaches for the evaluation of tissue engineered constructs using MR provide improved sensitivity to changes in matrix development and specificity to matrix composition in tissue engineered cartilage and for extension to other tissue engineering constructs.
Journal ArticleDOI
Multivariate analysis of cartilage degradation using the support vector machine algorithm.
Ping Chang Lin,Onyi N. Irrechukwu,Remy Roque,Brynne Hancock,Kenneth W. Fishbein,Richard G. Spencer +5 more
TL;DR: Results, combined with the previous investigation of Gaussian cluster‐based tissue discrimination, indicate that the combinations (T1, km) and (T 1, km, ADC) may emerge as particularly useful for characterization of early cartilage degradation.
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Performance assessment and economic analysis of a human Liver-Chip for predictive toxicology
Lorna Ewart,Athanasia Apostolou,Skyler A. Briggs,Christopher V. Carman,J. Chaff,Anthony Heng,Sushma Jadalannagari,Jeshina Janardhanan,Kyung-Jin Jang,S. Joshipura,Mahika M. Kadam,Marianne Kanellias,Ville J. Kujala,Gauri Santosh Kulkarni,C. Y. Le,Carolina Lucchesi,Dimitris V. Manatakis,Kairav K. Maniar,M. Quinn,Joseph S. Ravan,Ann Catherine Rizos,John F. Sauld,Josiah Sliz,William Tien-Street,Dennis Ramos Trinidad,James W. Velez,Max Wendell,Onyi N. Irrechukwu,Prathap Kumar S. Mahalingaiah,Donald E. Ingber,Jack W. Scannell,Daniel Levner +31 more
TL;DR: In this article , the authors evaluated 870 Liver-Chips to determine their ability to predict drug-induced liver injury caused by small molecules identified as benchmarks by the Innovation and Quality consortium, who has published guidelines defining criteria for qualifying preclinical models.