Innovative Biochemical Approaches for Early Cancer Detection and Prognostication

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Nihar Ranjan Kar, N. Aravindha Babu, Manish Maheshwari

Abstract

This examination explores "Imaginative Biochemical Methodologies for Early Malignant Growth Identification and Anticipation" by coordinating fluid biopsy, metabolomics, and proteomics. In the fluid biopsy tests, circulating tumor DNA (ctDNA), circulating tumor cells (CTCs), and exosomes have been examined, uncovering a tremendous distinction in ctDNA fixation between disease patients and controls (p = 0.023). Designated sequencing of ctDNA distinguished noteworthy hereditary changes, underlining the indicative capability of fluid biopsy. Metabolomic profiling divulged unmistakable metabolic movements, including raised lactate levels, predictable with the Warburg impact seen in malignant growth digestion. Proteomics examination distinguished differentially communicated proteins related to vital disease-related pathways, giving bits of knowledge into the atomic complexities of danger. This interdisciplinary exploration lines up with late examinations investigating AI in diabetes conclusion, the scene of imaginative techniques for gastric malignant growth discovery, and the use of nano biosensors for disease antigen 125 (CA-125) identification. Utilizing man-made consciousness and organization draws near, our work coordinates consistently into the developing scene of accuracy medication. The relative investigation highlights the novel commitments of our review, situating it as an extraordinary investigation of early disease discovery. As it explores customized restorative systems, our examination holds a guarantee for upsetting clinical practices and working on quiet results in the complicated domain of disease the executives.

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How to Cite
Nihar Ranjan Kar, et al. (2023). Innovative Biochemical Approaches for Early Cancer Detection and Prognostication. International Journal on Recent and Innovation Trends in Computing and Communication, 11(9), 4614–4621. https://doi.org/10.17762/ijritcc.v11i9.9983
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