Biomarkers Projects for M.E, M.Tech, Masters, MS abroad, and PhD students. These Biomarkers ieee projects are implemented with future work and extension for final year project submission with research paper publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.
Latest Biomarkers Projects
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Machine Learning Analysis of Human Skin by Optoacoustic Mesoscopy for Automated Extraction of Psoriasis and Aging Biomarkers
This project introduces a new computer system called DeepRAP that studies detailed images of human skin. It helps doctors see skin layers and tiny blood vessels using special 3D scans without needing a biopsy. The system can track skin diseases like psoriasis and even study how skin changes with age. It makes the process faster, more accurate, and less painful for patients. -
Sparse Deep Neural Network for Encoding and Decoding the Structural Connectome
This project uses a special type of artificial intelligence to study brain scans. It helps to identify patterns in the brain related to Alzheimer’s and Parkinson’s diseases. The method focuses on key brain connections while ignoring irrelevant data. This makes the model faster, more accurate, and able to find important brain regions linked to these diseases. -
Quantification of Hypsarrhythmia in Infantile Spasmatic EEG: A Large Cohort Study
This study focuses on helping doctors detect a brain disorder in infants called infantile spasms. The researchers analyzed brain wave recordings (EEG) from both affected and healthy babies. They found specific patterns in the signals that can reliably indicate the disorder. These patterns could be used to automatically diagnose infantile spasms, making the process faster and more accurate.
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