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Principal Investigator  
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Additional Investigators  
Investigator's Name: Samsad Beagum
Proposed Analysis: Our goal in the research is a review on the various invasive and non-invasive biomarkers related to AD patients and the classification techniques used in the early diagnosis of Alzheimer’s disease. It highlights the factors that affect early AD detection. It concludes that further research on bio-markers is necessary for early AD detection. Optimization of classification techniques can help improve the classification accuracy to some extent. Combining the features obtained from different neuro-images including functional and structural MRI and PET images and other biomarkers can help to improve the prediction rate of MCI from normal patients.
Investigator's Name: Amera Almas
Proposed Analysis: Our goal in the research is a review on the various invasive and non-invasive biomarkers related to AD patients and the classification techniques used in the early diagnosis of Alzheimer’s disease. It highlights the factors that affect early AD detection. It concludes that further research on bio-markers is necessary for early AD detection. Optimization of classification techniques can help improve the classification accuracy to some extent. Combining the features obtained from different neuro-images including functional and structural MRI and PET images and other biomarkers can help to improve the prediction rate of MCI from normal patients.