Liquid Biopsy Projects for M.E, M.Tech, Masters, MS abroad, and PhD students. These Liquid Biopsy 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 Liquid Biopsy Projects
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Deep Learning-Based, Multiclass Approach to Cancer Classification on Liquid Biopsy Data
This project focuses on using blood tests to detect different types of cancer in a simple and less painful way. It uses deep learning to study RNA in blood platelets and classify the type of cancer. The method can help doctors identify where cancer is in the body more accurately. It also highlights important genes that influence the predictions, making the results easier to understand. -
Deep Learning-Based Multiclass Approach to Cancer Classification on Liquid Biopsy Data
This project uses a simple blood test to detect and identify different types of cancer without surgery. It studies RNA from blood platelets and uses deep learning to recognize patterns linked to specific cancers. The method can help doctors find the type and location of cancer early. It also highlights the key genes that influence the predictions to make the results easier to trust.
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