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20260316T111834Z
DTSTART;TZID=America/New_York:20260323T120000
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 0260323T125000
URL;TYPE=URI:https://www.wpi.edu/news/calendar/events/bme-s
 eminar-mohammed-salman-shazeeb-phd-umms-radiologywpi-bme-role-quantitative
 -imaging-biomarkers
BME Seminar: Mohammed Salman Shazeeb, PhD UMMS Radiology/WPI BME: “Role o
 f Quantitative Imaging Biomarkers in Guiding Clinical Care: Applications i
 n Rare Diseases and Stroke”
United States
\n\n\n      \n      \n\n\n\nSeminar Series\n“Role of Quantitative Imaging Biomarkers in Guiding Clinical Care:
  Applications in Rare Diseases and Stroke”\n\n\n\n      \n      \n\n\n\n
 Mohammed Salman Shazeeb, PhD\nAssociate Professor – Department of Radiol
 ogy, UMass Chan Medical School\nAdjunct Teaching Professor- BME and ECE WP
 I\nAbstract: In the era of precision medicine, quantitative imaging biomar
 kers (QIBs) have become essential for bridging the gap between benchside r
 esearch and bedside decision-making. In this presentation, we will explore
  the pivotal role of advanced magnetic resonance imaging (MRI) and image a
 nalysis in two distinct yet demanding clinical arenas: the long-term monit
 oring of rare pediatric neurodegenerative diseases and the immediate manag
 ement of acute ischemic stroke.\nIn the field of rare diseases, the develo
 pment and application of QIBs within the first-in-human gene therapy trial
 s for GM1 and GM2 gangliosidosis will be discussed. Drawing from collabora
 tive work with MGH, NIH, and UMass Chan, we demonstrate how brain volumetr
 ics, differential tractography, and natural history progression models pro
 vide objective evidence of therapeutic efficacy and disease modification. 
 These tools not only track neurodegeneration over years but also help supp
 ort the delivery and monitoring of robot-assisted intrathalamic gene infus
 ions.\nIn contrast, the management of acute ischemia requires immediate, a
 ctionable data. Using a canine large vessel occlusion model, we examine ho
 w intravoxel incoherent motion (IVIM) MRI can be used to characterize the 
 ischemic penumbra and evaluate the efficacy of novel neuroprotective strat
 egies, such as oxygen carriers, in slowing infarct growth. By quantifying 
 tissue at risk in real-time, these biomarkers can guide therapeutic interv
 entions and slow infarct growth during the hyper-acute phase.\nTogether, t
 hese studies highlight how quantitative imaging transforms raw data into c
 linically useful information, whether informing the success of a long-term
  gene therapy trial for a rare disease or guiding a life-saving interventi
 on in the emergency room.\nBio: Dr. Mohammed Salman Shazeeb is an Associat
 e Professor in the Department of Radiology at the University of Massachuse
 tts Chan Medical School, where he serves as Director of the Image Processi
 ng \& Analysis Core (iPAC), Director of Preclinical MRI at the Advanced MR
 I Center (AMRIC), and Co-Director of Scientific Affairs at AMRIC. He is al
 so an Adjunct Teaching Professor at Worcester Polytechnic Institute in the
  Departments of Biomedical Engineering and Electrical \& Computer Engineer
 ing. Dr. Shazeeb received his Ph.D. in Biomedical Engineering \& Medical P
 hysics from the joint Worcester Polytechnic Institute – University of Ma
 ssachusetts Chan Medical School program. He completed postdoctoral trainin
 g in both academia and industry, including research positions at UMASS Cha
 n, Martinos Center @ MGH/Harvard Medical School, and UAE University, as we
 ll as translational bioimaging research in industry at Sanofi.\nDr. Shazee
 b’s research leverages MRI and other imaging modalities, quantitative im
 age analysis, and artificial intelligence to develop biomarkers for guidin
 g diagnosis, monitoring disease progression, and supporting clinical decis
 ions. His work spans a broad spectrum of conditions, including cerebrovasc
 ular and neurological disorders (stroke, traumatic brain injury, chronic t
 raumatic encephalopathy, aneurysms, multiple sclerosis, and Alzheimer’s)
 , oncology (gliomas and breast cancer), rare diseases, gene-therapy trials
 , and diabetes. His group specializes in advanced medical image processing
  and AI methods that transform imaging data into actionable insights for t
 reatment planning and assessing disease outcomes. Additionally, he is invo
 lved in clinical trials evaluating AI tools for personalized breast cancer
  screening, focusing on the prospective validation of risk-prediction mode
 ls to optimize early detection and precision\nFor a zoom link please conta
 ct Kate Harrison at kharrison@wpi.edu\n
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