Machine Learning Prediction of Attrition and Cervical Abrasion Using Clinical Images

Abstract

Bioinformatics serves as a bridge between computational methodologies and the intricate challenges of modern healthcare. At the Bioinformatics Lab, Department of Biomedical Engineering, Saveetha Engineering, India, our research led by Swarnambiga Ayyachamy focuses on developing robust data-driven solutions that address critical needs in clinical diagnostics, personalized medicine, and biomedical innovation. By harnessing advanced machine learning algorithms, statistical modeling, and systems biology approaches, we aim to uncover meaningful patterns in genomic, proteomic, and imaging datasets. Our interdisciplinary efforts strive to optimize patient care by informing precise diagnostics, enhancing therapeutic strategies, and enabling predictive analytics in healthcare. Through collaborative projects with clinicians and researchers, the lab emphasizes translational impact—ensuring that computational discoveries are swiftly integrated into real-world clinical applications.