| Applications of machine learning in healthcare C Toh, JP Brody Smart manufacturing: When artificial intelligence meets the internet of …, 2021 | 40 | 2021 |
| Improved measurement of proteins using a solid-state nanopore coupled with a hydrogel S Acharya, A Jiang, C Kuo, R Nazarian, K Li, A Ma, B Siegal, C Toh, ... ACS sensors 5 (2), 370-376, 2020 | 25 | 2020 |
| Evaluation of a genetic risk score for severity of COVID-19 using human chromosomal-scale length variation C Toh, JP Brody Human genomics 14, 1-5, 2020 | 16 | 2020 |
| Genetic risk score for ovarian cancer based on chromosomal-scale length variation C Toh, JP Brody BioData mining 14, 1-11, 2021 | 11 | 2021 |
| Disruption of artificial lipid bilayers in the presence of transition metal oxide and rare earth metal oxide nanoparticles S Acharya, B Lu, S Edwards, C Toh, A Petersen, C Yong, P Lyu, A Huang, ... Journal of Physics D: Applied Physics 52 (4), 044002, 2018 | 7 | 2018 |
| A genetic risk score using human chromosomal-scale length variation can predict schizophrenia C Toh, JP Brody Scientific reports 11 (1), 18866, 2021 | 2 | 2021 |
| Genetic Risk Score for Predicting Schizophrenia Using Human Chromosomal-Scale Length Variation C Toh, JP Brody | 2 | 2021 |
| Abstract PR-09: Genetic risk scores for breast cancer based on machine learning analysis of chromosomal-scale length variation C Ko, C Toh, JP Brody Clinical Cancer Research 27 (5_Supplement), PR-09-PR-09, 2021 | 1 | 2021 |
| Chromosomal scale length variations as a genetic risk score for predicting complex human diseases in large scale genomic datasets CEL Toh University of California, Irvine, 2021 | 1 | 2021 |
James P BrodyDepartment of Biomedical Engineering, University of California, IrvineVerified email at uci.edu
