Impact of Organizational Commitment Components on the Teachers of Higher Education in Uttarakhand: An Emperical Analysis

This chapter explores the transformative potential of precision medicine and AI in revolutionizing healthcare delivery. By tailoring treatments to individual patient profiles through genomic insights and advanced analytics, personalized healthcare optimizes therapeutic efficacy, particularly in oncology, rare diseases, and chronic conditions. Case studies illustrate the economic advantages of targeted interventions, highlighting cost efficiency through reduced trial-and-error treatments and improved patient outcomes. However, the integration of AI introduces ethical dilemmas, including data privacy concerns, algorithmic biases, and the implications of genetic editing technologies. Global examples of healthcare systems implementing AI-driven personalized medicine provide valuable insights into best practices and lessons learned from early adopters. As the landscape of healthcare evolves, the chapter emphasizes the need for interdisciplinary collaboration, robust data infrastructure, and active patient engagement to navigate the complexities of precision medicine.

Harnessing the Power of Precision Medicine and AI

Sahni,

Shukla

2024

An Exhaustive Inference of Machine Learning Applications in Healthcare

Swain,

Kamila,

Jena

et al. 2024

Machine learning has become an important tool in healthcare research to solve complex classification problems effectively, efficiently, and quickly. Generally, doctors treat patients according to their medical knowledge and personal experience. Since different professionals have different experiences, they may sometimes make a wrong diagnosis and need more time for treatment. Current research mainly focuses on the problem of classifying/predicting medical data based on machine learning. There is a need to create an intelligent structure that can distribute the information stored in the database. Human data analysis capabilities are less compared to data storage. This is more important in the case of medical records because it helps search, diagnose, and treat patients based on individual records. This paper's main goal is to review the pre-researched methodologies of machine learning techniques to analyze healthcare data to diagnose and prevent illnesses. Finally, these research articles are classified based on healthcare data, machine learning techniques, and performance parameters.

Precision and Performance

Dileepkumar,

Gouda,

Kumasi

2024

The confluence of precision medicine and advanced healthcare technologies is revolutionizing sports medicine by refining diagnostics, optimizing therapeutic interventions, and elevating performance metrics. This chapter delves into the transformative role of smart healthcare systems, including wearable biosensors, machine learning algorithms, and data-driven analytics, which collectively enable a nuanced understanding of athletic health. By enhancing early injury detection and fostering customized rehabilitation strategies, these technologies epitomize a paradigmatic shift toward individualized, anticipatory healthcare in sports. Our analysis elucidates both the mechanistic functionalities and the physiological implications of these innovations, which promise to redefine the contours of athletic resilience and human potential.