AI Generated Fake Audio as a New Threat to Information Security
Shubham Kumar Sharma, Devendra Sharma, Vipul Harsh, S. Shivam Gupta · 2025
This report explores machine learning applications in healthcare, focusing on diagnosis, treatment, and beyond.The executive summary provides a snapshot of key findings and recommendations.The introduction sets the stage by discussing the historical context of technology in healthcare and outlining the report's purpose and scope.The fundamentals of machine learning, including its definition, types, and basic algorithms, are explored in the third section.The report delves into the applications of machine learning in diagnosis, featuring case studies on diseases such as cancer and diabetes.The subsequent section explores the role of machine learning in treatment, personalised medicine, and drug discovery.Predictive analytics and prognosis are discussed in detail, emphasizing the use of machine learning in predicting disease progression and developing prognostic models.The report then outlines future trends in machine learning and healthcare, including potential advancements and the role of AI in addressing global health challenges.