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@article{172191,
        author = {Rishav Aditya and M Chithambarathanu},
        title = {Harnessing AI for Rheumatoid Arthritis: CRP Monitoring and Side Effect Prediction},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {2276-2286},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172191},
        abstract = {Rheumatoid joint inflammation (RA) is a constant immune system illness portrayed by irritation and joint inability. C-responsive protein (CRP) fills in as a significant biomarker for evaluating RA action. Raised CRP levels show a higher probability of RA and possible joint harm, while lower levels propose a decreased gamble. This examination investigates the combination of artificial intelligence driven investigation in RA the executives, with a particular spotlight on CRP and secondary effects as key markers according to the patient's viewpoint. Utilizing K-Most calculations and man-made intelligence, exact CRP and incidental effects information investigation is given, offering significant experiences for treatment choices. AI enables medical services experts to upgrade customized therapy plans, limit aftereffects, improve therapy adequacy, and lessen costs. Moreover, artificial intelligence innovation supports early ID of extra-articular appearances related with RA, empowering convenient mediations to forestall intricacies and work on by and large understanding prosperity. The synergistic joining of simulated intelligence in RA care enables clinical specialists to pursue information driven choices, improving accuracy medication draws near and streamlining patient results.},
        keywords = {Rheumatoid arthritis (RA), C-reactive protein (CRP), Disease-modifying anti-rheumatic drugs (DMARDs), anti-cyclic citrullinated peptide (anti-CCP), Artificial intelligence (AI)},
        month = {January},
        }