Prerna Uniyal

Papers

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About

Prerna Uniyal is a rising researcher at the forefront of computational oncology, with a focused interest in leveraging machine learning and artificial intelligence to revolutionize cancer diagnostics. Her most-cited work, "Breast Cancer Diagnosis Using Computational Model: Recent Advancement" (2024), addresses a critical global health challenge—breast cancer, which affects one in every four women. In this study, Uniyal systematically reviews and advances the development of computational models designed to simplify the identification of cancer cells, thereby streamlining the pathway to effective therapy. By synthesizing recent breakthroughs in diagnostic technologies, she highlights how algorithmic approaches can enhance accuracy and speed in detection, offering a non-invasive alternative to traditional methods. Though her career is early-stage, with 2 citations already garnered for this seminal paper, her work signals a significant contribution to the intersection of data science and medicine. Uniyal’s research is poised to impact clinical practice by providing tools that facilitate earlier, more reliable cancer diagnosis, ultimately aiming to improve patient outcomes. Her dedication to this vital area underscores her potential as a key voice in the next generation of biomedical informatics.