Andrew A. Badachhape, PhD
Assistant Professor, Baylor College of Medicine
Languages: English
Departments:
Get to know Andrew A. Badachhape, PhD
Personal Statement
My lab seeks to apply foundational science principles in novel contrast mechanisms, machine learning, and radiological science to solve some of the most pressing medical concerns of our time. Over the past decade, I have conducted clinical and preclinical imaging research to improve our understanding of a wide host of pathologies including traumatic brain injury, placenta accreta, renal and hepatic cancer, and type 1 diabetes. My vision is to translate new findings from the benchtop into clinical practice to make medical imaging more effective and more efficient.
Clinical Interests
- Neurodegenerative diseases
- Placenta accreta spectrum (PAS) disorder
- Renal and hepatic cancers
- Type 1 diabetes
Education
| School | Education | Degree | Year |
|---|---|---|---|
| Rice University | Bachelors | Bachelor of Science in Bioengineering | 2013 |
| Washington University at St. Louis | Masters | Master of Science in Biomedical Engineering | 2016 |
| Washington University at St. Louis | PhD | Doctor of Philosopy in Biomedical Engineering | 2017 |
Organizations
| Organization Name | Role |
|---|---|
| The Society for Pediatric Radiology | Allied Member |
| International Society for Magnetic Resonance in Medicine | Member |
* Texas Children’s Hospital physicians’ licenses and credentials are reviewed prior to practicing at any of our facilities. Sections titled From the Doctor, Professional Organizations and Publications were provided by the physician’s office and were not verified by Texas Children’s Hospital.
Research interests
- Magnetic Resonance Imaging (MRI)
- Machine Learning and Artificial Intelligence (ML/AI)
- Novel contrast mechanisms
- Parallel image processing
- Implantable devices
Badachhape AA, Bhandari P, Devkota L, Srivastava M, Tanifum EA, George V, Fox KA, Yallampalli C, Annapragada AV, Ghaghada KB. Nanoparticle Contrast-enhanced MRI for Visualization of Retroplacental Clear Space Disruption in a Mouse Model of Placental Accreta Spectrum (PAS). Academic Radiology. 2022 Sep 24.
Tao L, Mohammad MA, Milazzo G, Moreno-Smith M, Patel TD, Zorman B, Badachhape AA, Hernandez BE, Wolf AB, Zeng Z, Foster JH. MYCN-driven fatty acid uptake is a metabolic vulnerability in neuroblastoma. Nature Communications. 2022 Jun 28;13(1):1-7.
Parekh P, Mu Q, Badachhape AA, Bhavane R, Srivastava M, Devkota L, Sun X, Bhandari P, Eriksen JL, Tanifum E, Ghaghada K. A surrogate marker for very early-stage tau pathology is detectable by molecular magnetic resonance imaging. Theranostics. 2022;12(12):5504.
Li Y, Okamoto R, Badachhape AA, Wu C, Bayly P, Daphalapurkar N. Simulation of harmonic shear waves in the human brain and comparison with measurements from Magnetic Resonance Elastography. Journal of the Mechanical Behavior of Biomedical Materials. 1 June 2021;118:104449.
Badachhape AA, Kumar A, Ghaghada KB, Stupin IV, Srivastava M, Devkota L, Starosolski Z, Tanifum EA, George V, Fox KA, Yallampalli C, Annapragada AV. Pre-clinical magnetic resonance imaging of retroplacental clear space throughout gestation. Placenta. 2019;77:1-7.
Badachhape AA, Okamoto RJ, Durham RS, Efron BD, Nadell SJ, Johnson CL, Bayly PV. The relationship of three-dimensional human skull motion to brain tissue deformation in magnetic resonance elastography studies. Journal of Biomechanical Engineering. 2017;139(5).