Yash Karnani
Under Graduate Student
Yash Karnani is currently working as a Junior Research Intern, focusing on the clinical applications of wearable devices and the extraction of information from medicine strips for potential use in health monitoring and medical diagnostics.
He is pursuing a B.Tech. in Computer Science and IoT at GITAM University. His academic background spans AI, IoT, and Data Science, and includes hands-on experience with projects in computer vision and web development, along with an internship as a Java Developer at Woodpecker Analytics.
Yash’s experience at Rhenix has further enhanced his expertise in AI and data analytics, enabling him to contribute to innovative solutions in the healthcare domain. He is passionate about leveraging technology to drive meaningful advancements in data-driven decision-making.
Presentations
Machine learning approaches to identify Parkinson's disease using voice signal features
Presented on:
3 July 2025
Parkinson’s Disease (PD) is a progressive neurodegenerative disorder characterized by motor and non-motor symptoms, including subtle changes in speech. Traditionally, PD diagnosis relies on...
Predicting postoperative gastric cancer prognosis based on inflammatory factors and machine learning technology
Presented on:
19 June 2025
This study developed machine learning-based models to predict postoperative mortality in patients with gastric cancer, utilizing clinical and inflammatory markers. Six algorithms were tested...
Lifestyle and occupational risks assessment of bladder cancer using machine learning-based prediction models
Presented on:
5 June 2025
This study applied machine learning to assess lifestyle and occupational risk factors for bladder cancer. A balanced case-control study of 692 bladder cancer patients...
Collaborators
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