Developing univariate neurodegeneration biomarkers with low-rank and sparse subspace decomposition

Jan 2, 2021 | Computational methods for biomarker discovery

Sponsor: NIH Cognitive decline due to Alzheimer’s disease (AD) is closely associated with brain structure alterations captured by structural magnetic resonance imaging (sMRI). It supports the validity to develop sMRI-based univariate neurodegeneration biomarkers...

Predicting Brain Amyloid Using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy

Jan 2, 2021 | Computational methods for biomarker discovery

Sponsors: NIH, AZ Alzheimer Consortium Biomarker assisted preclinical/early detection and intervention in Alzheimer’s disease (AD) may be the key to therapeutic breakthroughs. One of the presymptomatic hallmarks of AD is the accumulation of beta-amyloid (Aβ) plaques...

Biomarker Signature to Predict the Persistence of Post-Traumatic Headache

Oct 21, 2020 | Computational methods for biomarker discovery

Sponsor: NIH In civilian populations, it is estimated that approximately 1.6-3.8 million concussions occur each year. In military populations, 380,000 traumatic brain injuries have occurred from 2000-2018. The most commonly reported pain-related symptom following...
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Research Areas

  • AI in Medicine and Imaging
  • Health information technology
  • Computational methods for biomarker discovery
  • Computational methods for design and discovery in nanotechnology
  • Biosensing for personalized health and rehabilitation
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