Ni, Yizhao

DeepImmuno: deep learning-empowered prediction and generation of immunogenic peptides for T-cell immunity

Li, G., Iyer, B., Prasath, V. B. S., Ni, Y., & Salomonis, N. (2021) · Briefings in Bioinformatics

vaccines and immunoinformatics approachesImmunotherapy and Immune Responses

Cited by 168

Increasing the efficiency of trial-patient matching: automated clinical trial eligibility Pre-screening for pediatric oncology patients

Ni, Y., Wright, J., Perentesis, J., Lingren, T., Deleger, L., Kaiser, M., Kohane, I., & Solti, I. (2015) · BMC Medical Informatics and Decision Making

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 142

Implementation of Machine Learning Pipelines for Clinical Practice: Development and Validation Study

Kanbar, L. J., Wissel, B., Ni, Y., Pajor, N., Glauser, T., Pestian, J., & Dexheimer, J. W. (2022) · JMIR Medical Informatics

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 30

Using deep learning and electronic health records to detect Noonan syndrome in pediatric patients

Yang, Z., Shikany, A., Ni, Y., Zhang, G., Weaver, K. N., & Chen, J. (2022) · Genetics in Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 20