Ejaz, Aslam

Neoadjuvant cabozantinib and nivolumab convert locally advanced hepatocellular carcinoma into resectable disease with enhanced antitumor immunity

Ho, W. J., Zhu, Q., Durham, J., Popovic, A., Xavier, S., Leatherman, J., Mohan, A., Mo, G., Zhang, S., Gross, N., et al. (2021) · Nature Cancer

Hepatocellular Carcinoma Treatment and PrognosisCancer Immunotherapy and Biomarkers

Cited by 360

Telemedicine: Patient-Provider Clinical Engagement During the COVID-19 Pandemic and Beyond

Contreras, C. M., Metzger, G. A., Beane, J. D., Dedhia, P. H., Ejaz, A., & Pawlik, T. M. (2020) · Journal of Gastrointestinal Surgery

Telemedicine and Telehealth ImplementationCOVID-19 and healthcare impacts

Cited by 357

Use of machine learning for prediction of patient risk of postoperative complications after liver, pancreatic, and colorectal surgery

Merath, K., Hyer, J. M., Mehta, R., Farooq, A., Bagante, F., Sahara, K., Tsilimigras, D. I., Beal, E., Paredes, A. Z., Wu, L., et al. (2020) · Journal of Gastrointestinal Surgery

Cardiac, Anesthesia and Surgical OutcomesArtificial Intelligence in Healthcare

Cited by 131

Novel machine learning approach to identify preoperative risk factors associated with super-utilization of medicare expenditure following surgery

Hyer, J. M., Ejaz, A., Tsilimigras, D. I., Paredes, A. Z., Mehta, R., & Pawlik, T. M. (2019) · JAMA Surgery

Cardiac, Anesthesia and Surgical OutcomesHealthcare Policy and Management

Cited by 49