IITKGP Alumnus Joyita Dutta (B.Tech/2004/EECE) and her UMASS Colleagues Develop a Personalized Approach for Subtyping Alzheimer’s Disease

Joyita Dutta and her research colleagues have come up with a groundbreaking approach for subtyping Alzheimer’s disease that promises “broad diagnostic utility,” according to research presented during the 2023 annual meeting of the Society of Nuclear Medicine and Molecular Imaging (SNMMI). This new computational technique for subtyping the genetically complex Alzheimer’s disease combines genomic and tau PET imaging data and is based on a novel clustering framework using “Sparse Canonical Correlation Analysis” (SCCA).
“By identifying different subtypes of Alzheimer’s disease using both imaging and genomic information, researchers could gain potential new insights into the underlying biology of the disease and its progression,” said Dutta in a story published by Imaging Technology News. “Understanding the specific genetic associations for each subtype could also lead to the development of personalized treatment approaches in the future.” Dutta and her collaborators have identified four subtypes of Alzheimer’s disease in their analysis: medial temporal lobe (MTL)-dominant; posterior; MTL-sparing; and lateral-temporal. The four researchers also identified top genes that were associated with each subtype.
Joyita earned her B.Tech in EECE from IITKGP in 2004 and her MS & PhD in EE from USC. She is an Associate Professor in the Department of Biomedical Engineering at the University of Massachusetts Amherst and directs the Biomedical Imaging and Data Science Lab (BIDSLab).
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