Publications by authors named "J Vijay Jayachandran"

Background: Skin cancer is one of the highly occurring diseases in human life. Early detection and treatment are the prime and necessary points to reduce the malignancy of infections. Deep learning techniques are supplementary tools to assist clinical experts in detecting and localizing skin lesions.

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Background: Many blood operators around the world face the challenge of increasing the number of donors of African ancestry to meet the transfusion needs of people living with sickle cell disease. This article reports results of the barriers to blood donation for young adults (aged 19-35) in Canada who identify as African, Caribbean, or Black.

Study Design And Methods: A community-based qualitative study was conducted by researchers from community organizations, blood operator, and universities.

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Epithelial to mesenchymal transition (EMT) is a biological process that plays an important role during embryonic development. During this process, the epithelial cells lose their polarity and acquire mesenchymal properties. In addition to embryonic development, EMT is also well-known to participate in tissue repair, inflammation, fibrosis, and tumor metastasis.

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Synopsis of recent research by authors named "J Vijay Jayachandran"

  • - J Vijay Jayachandran's research primarily focuses on healthcare challenges, particularly in early disease detection, barriers to health services, and understanding biological processes related to conditions like skin cancer and sickle cell disease.
  • - His recent work includes developing a novel deep learning technique, ViT-GradCAM, for predicting and classifying skin lesions to aid in early cancer detection, demonstrated in his 2024 publication.
  • - Additionally, Jayachandran investigates sociocultural barriers affecting blood donation among African, Caribbean, and Black young adults in Canada, highlighting the need for targeted strategies to increase donor participation in this demographic, as detailed in his 2023 study.