The Stanford Center for Clinical Research (SCCR), led by Kenneth Mahaffey, MD (professor of cardiovascular medicine), and AstraZeneca, are pleased to announce that they have entered into the third year of their collaboration.

The collaboration focuses on cardio-metabolic and respiratory diseases, oncology, mobile health (mHealth), innovations in clinical trial design and operations, big data and novel data analytics approaches and innovative education and training initiatives. 

Two million dollars in funding has been provided to support 6 innovative research projects by Stanford investigators over the three-year collaboration.

The collaboration committee has recently selected two research projects to fund for 2018-2019, the third year of this collaboration.

1) “Implementation of a Patient-Centered Distributed Clinical Trial/Registry to Optimize Follow-Up and Patient Reported Outcomes Data Collection,” PI: Oliver Aalami, MD, (Clinical Associate Professor, Surgery – Vascular Surgery).

Dr. Aalami’s project aims to

• improve long-term follow up in patient registries, and

• add patient reported outcomes (active & passive activity data + surveys) to registries through the implementation of a “distributed database” architecture to registries. Patients will be directly connected to a registry rather than connected only to hospitals.

2) “Cardio-Oncology: Identifying Cardiac Safety Signals in Era of Precision Medicine,” PI: Joseph Wu, MD, PhD (Professor of Radiology).

Dr. Wu’s project proposes to utilize the human induced pluripotent stem cell-derived cardiomyocyte (iPSC-CM) platform to assess their functional and biochemical response to tyrosine kinase inhibitors (TKI) from patients who have developed TKI-induced cardiotoxicity.

For this, his group will recruit cancer patients who have developed TKI-induced cardiotoxicity to discover novel disease pathways.

Moreover, his proposal aims to identify small molecules or compounds that can rescue TKI-induced cardiotoxicity.

The awardees for Year 2 (2017-2018) of the collaboration were:

1) “A System to Enable Distributed Precision Medicine,” PI: Daniel Rubin, MD, MS

2) “Machine Learning Classifiers for Automated Staging of Prostate Cancer Patients,” PI: Tina Hernandez-Boussard, PhD

The awardees for Year 1 (2016-2017) of the collaboration were:

1) “Smartphone guided cardiac rehabilitation and medication adherence management after acute coronary syndrome,” PI: Mintu Turakhia, MD

2) “Learning Personalized Treatment Guidelines,” PI: Nigam Shah, MBBS, PhD

Contact Nicole Ventre, MS, at nventre@stanford.edu with any questions about this collaboration.