Kandpal, Manoj

Metastatic cancers promote cachexia through ZIP14 upregulation in skeletal muscle

Wang, G., Biswas, A. K., Ma, W., Kandpal, M., Coker, C., Grandgenett, P. M., Hollingsworth, M. A., Jain, R., Tanji, K., Lόpez-Pintado, S., et al. (2018) · Nature Medicine

Muscle Physiology and DisordersNutrition and Health in Aging

Cited by 188

Donor-derived cell-free DNA levels predict graft injury in liver transplant recipients

Levitsky, J., Kandpal, M., Guo, K., Kleiboeker, S., Sinha, R., & Abecassis, M. (2022) · American Journal of Transplantation

Organ Transplantation Techniques and OutcomesTransplantation: Methods and Outcomes

Cited by 102

Discovery and validation of a novel blood-based molecular biomarker of rejection following liver transplantation

Levitsky, J., Asrani, S. K., Schiano, T., Moss, A., Chavin, K., Miller, C., Guo, K., Zhao, L., Kandpal, M., Bridges, N., et al. (2020) · American Journal of Transplantation

Organ Transplantation Techniques and OutcomesTransplantation: Methods and Outcomes

Cited by 44

Prediction of Liver Transplant Rejection With a Biologically Relevant Gene Expression Signature

Levitsky, J., Kandpal, M., Guo, K., Zhao, L., Kurian, S., Whisenant, T., & Abecassis, M. (2022) · Transplantation

Organ Transplantation Techniques and OutcomesTransplantation: Methods and Outcomes

Cited by 36

Opportunities and considerations for using artificial intelligence in bioinformatics education

Piccolo, S. R., Nathan, A., Brazas, M. D., Kandpal, M., Miró-Herrans, A. T., Kleinschmit, A. J., McClatchy, S., Mutheiwana, P., Nikolic, D., Gallo, L. I., et al. (2024) · Bioinformatics Advances

Genetics, Bioinformatics, and Biomedical ResearchArtificial Intelligence in Education

Cited by 2