A garden of innovation: Mayo Clinic, ASU seed grant to fund medical discoveries

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Sixteen pilot studies will be explored through the Mayo Clinic and Arizona State University Alliance for Health Care Seed Grant Program — the largest amount since the program’s inception in 2016.

A garden of innovation: Mayo Clinic, ASU seed grant to fund medical discoveries

By Sophia Balasubramanian

Aug. 21, 2023

Endometriosis diagnostics. Tumor detection. Blood-based biomarkers. Bone repair. 

These are just a handful of the medical solutions Arizona State University researchers and Mayo Clinic doctors aim to explore through an innovative funding opportunity concentrated on collaboration between physicians and academics.

The Mayo Clinic and ASU Alliance for Health Care Seed Grant Program empowers investigators from both institutions to kickstart joint research projects and build a foundation to attract additional funding. The program also provides researchers with the unique advantage of finding solutions for complex biomedical problems that might not have been solved otherwise.

“When you try to take the most complex problem and solve it, at the same time you end up solving a lot of simpler problems more effectively,” says Neal Woodbury, chief science and technology officer at ASU Knowledge Enterprise.

When awarding grants, the program considers projects that encompass the following factors: transforming the health care workforce, optimizing health and the human body, establishing connected health care delivery and biomedical innovation. Among these key elements, the project should demonstrate meaningful collaboration between investigators at ASU and Mayo Clinic.

“We want this to be, more than anything, a catalyst — a spark that continues to foster our collaborative efforts,” says Rafael Fonseca, chief innovation officer at Mayo Clinic. 

The 2023 seed grant projects and its lead investigators are:

Automating data extraction from electronic health records and reasoning to assist treatment decision-making for prostate cancer

  • Chitta Baral, professor, ASU School of Computing and Augmented Intelligence
  • Dr. Irbaz Bin Riaz, oncologist, Mayo Clinic

Machine Learning Design to Predict and Manage Postprandial Hyperglycemia in Patients with Type 1 Diabetes

  • Hassan Ghasemzadeh, associate professor, ASU College of Health Solutions
  • Dr. Bithika Thompson, endocrinologist, Mayo Clinic

Characterizing healthcare provider and patient experiences with implementing genomic medicine in a federally-qualified health center

  • Rachel Gur-Arie, assistant professor, ASU Edson College of Nursing and Health Innovation
  • Richard Sharp, biomedical ethics, Mayo Clinic

The use of itaconate as an immunometabolite for improved bone repair 

  • Julianne Holloway, assistant professor, ASU School for Engineering of Matter, Transport and Energy; associate faculty member, Biodesign Center for Molecular Design and Biomimetics
  • Jennifer Westendorf, orthopedic surgery consultant, Mayo Clinic

A Holistic Approach for Improved Diagnosis and Management of BRCA Mutations in Breast Cancer Using Advanced -omics and Imaging Technologies

  • Ashif Iquebal, assistant professor, ASU School of Computing and Augmented Intelligence
  • Dr. Bhavika Patel, breast imaging radiologist, Mayo Clinic

Evolutionary Therapy to Enhance Management of Gastrointestinal Malignancies

  • Carlo Maley, professor, ASU School of Life Sciences; associate professor, Biodesign Center for Biocomputing, Security and Society
  • Dr. Ryan Carr, oncologist, Mayo Clinic

Extracorporeal Robotic Tissue Retraction with Endoscopic Resection of Complex Gastrointestinal Neoplasms

  • Hamidreza Marvi, associate professor, ASU School for Engineering of Matter, Transport and Energy
  • Dr. Terry Jue, gastroenterologist, Mayo Clinic

A Biomimetic and Organotypic Model of Brain Tumor-CAR-T Cell Interactions

  • Mehdi Nikkhah, associate professor, ASU School of Biological and Health Systems Engineering; assistant professor, Biodesign Virginia G. Piper Center for Personalized Medicine
  • Gloria Kim, immunologist, Mayo Clinic

Quantitative Gait Analysis as a novel diagnostic tool and clinical biomarker for AtypicalParkinsonian Syndromes

  • Daniel Peterson, associate professor, ASU College of Health Solutions
  • Dr. Shyamal Mehta, neurologist, Mayo Clinic

Detection and quantification of key biomarkers in CAR T-cell therapy with Quantum-NanoElectroPore (Q-NEP)

  • Quan Qing, associate professor, ASU Department of Physics; faculty member, Biodesign Center for Bioelectronics and Biosensors
  • Dr. Januario Castro, oncologist, Mayo Clinic

Conductivity Tensor Imaging to characterize the neuronal mechanisms of brain invasion in High-Grade Glioma (HGG)

  • Rosalind Sadleir, associate professor, ASU School of Biological and Health Systems Engineering
  • Dr. Leland Hu, neuroradiologist, Mayo Clinic

3D Printing-enabled Regenerative Medicine for Pelvic Organ Prolapse (POP) Treatment

  • Xiangfan Chen, assistant professor, ASU School of Manufacturing Systems and Networks
  • Jessica Lancaster, immunology consultant, Mayo Clinic

Engineering targeted strategies to diagnose and treat endometriosis

  • Jessica Weaver, assistant professor, ASU School of Biological and Health Systems Engineering
  • Dr. Megan N. Wasson, gynecologic surgeon, Mayo Clinic

Investigation of mechanisms of muscle atrophy and weakness post-ACL injury and reconstruction

  • Jeanne Wilson-Rawls, associate professor, ASU School of Life Sciences
  • Dr. Kostas Econompoulos, orthopedic surgeon, Mayo Clinic

Cardiac Amyloidosis, The Crucial Need for Blood-based Biomarkers for Early Disease Detection

  • Craig Woods, director of research projects, Infectious Disease, Institute for Future Health
  • Dr. Julie Rosenthal, cardiologist, Mayo Clinic

Adaptive Self-Supervised Contrastive Learning for Tumor Detection and Treatment Evaluation

  • Yingzhen Yang, assistant professor, ASU School of Computing and Augmented Intelligence
  • Dr. Alvin C. Silva, radiologist, Mayo Clinic

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