This book constitutes the refereed post-conference proceedings of the First International Conference on Interdisciplinary Horizons: Integrating AI in Science, Management, and Technology, AISMT 2025 held in Vadodara, India during February 20-21, 2025.The 21 full papers and 6 short papers included in this book were carefully reviewed and selected from 136 submissions.These papers are thematically grouped into three broad categories: AI in Science, which includes contributions in Healthcare AI, Catalyst Prediction, Early Disease Detection, and Nanotechnology; AI in Management, addressing areas such as AI Ethics, Business Analytics, Decision Optimization, and Strategic AI Applications; and AI in Technology, encompassing research on Artificial Intelligence, Machine Learning, Deep Learning, and Speech and Text Processing.

This book constitutes the refereed post-conference proceedings of the First International Conference on Interdisciplinary Horizons: Integrating AI in Science, Management, and Technology, AISMT 2025 held in Vadodara, India during February 20-21, 2025.The 21 full papers and 6 short papers included in this book were carefully reviewed and selected from 136 submissions.These papers are thematically grouped into three broad categories: AI in Science, which includes contributions in Healthcare AI, Catalyst Prediction, Early Disease Detection, and Nanotechnology; AI in Management, addressing areas such as AI Ethics, Business Analytics, Decision Optimization, and Strategic AI Applications; and AI in Technology, encompassing research on Artificial Intelligence, Machine Learning, Deep Learning, and Speech and Text Processing.

This book constitutes the refereed post-conference proceedings of the First International Conference on Interdisciplinary Horizons: Integrating AI in Science, Management, and Technology, AISMT 2025 held in Vadodara, India during February 20-21, 2025.The 21 full papers and 6 short papers included in this book were carefully reviewed and selected from 136 submissions.These papers are thematically grouped into three broad categories: AI in Science, which includes contributions in Healthcare AI, Catalyst Prediction, Early Disease Detection, and Nanotechnology; AI in Management, addressing areas such as AI Ethics, Business Analytics, Decision Optimization, and Strategic AI Applications; and AI in Technology, encompassing research on Artificial Intelligence, Machine Learning, Deep Learning, and Speech and Text Processing.