Currie Lab

Developing and validating cardiothoracic surgery tools using machine learning and augmented reality. Our goal is to further understand and improve cardiothoracic surgery outcomes.

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Learn more about the cutting-edge research in this lab

Explore our latest research findings and scientific contributions.

Get to know our team and alumni

Congratulations to Maggie on her first major academic conference, where she presented her poster to an audience of over 12,000 attendees!

Huge congratulations to Chad Harper on being accepted into the prestigious Kavli Center Graduate Fellowship!

Huge congratulations to Reid and Nataliya for this exciting opportunity to share your work on an international stage!

Utilizing Machine Learning Clustering Trees to Risk Stratify Exception patients in Heart Transplantation _{^{R. Dale, G. Anyetei-Anum, N. Bahatyrevich, K. Pines, M. Leipzig, M. Currie}}	Nonlinear Effect of Body Mass Index on Postoperative Survival Following Isolated Heart Transplant _{^{R. Dale, N. Bahatyrevich, M. Leipzig, M. Currie}}	Misalignment of Ethics and Statistical Risk Models in Organ Allocation _{^{R. Dale, M. Cheng, K. Pines, M. Currie}}
Donor-Recipient Sex-Mismatching in Isolated Heart Transplant Confers No Postoperative Risk as Established by Equivalence Testing and Causal Estimation _{^{R. Dale, M. Leipzig, N. Bahatyrevich, K. Pines, Q. Chen, J. Teuteberg, J. Woo, M. Currie}}	Causal Nonlinear Dose Response Analysis of Predicted Heart Mass Mismatching _{^{R. Dale, M. Leipzig, N. Bahatyrevich, M. Currie}}	Induction therapy confers survival advantage in mechanically supported patients regardless of peak PRA in heart transplantation _{^{Bahatyrevich, R. Dale, M. Leipzig, K. Pines, S. Jimenez, M. Currie}}

Stanford's heart transplantation experience over 50 years