We are proud to present the inaugural issue of the International Journal of Future Research and Innovation – Volume 1, Issue 1 (April 2025). This multidisciplinary issue brings together original research and critical reviews from across domains such as biotechnology, pharmaceutical sciences, artificial intelligence, financial technology, public health, linguistics, and blockchain innovation.

The selected papers reflect the journal’s core mission: to promote forward-thinking, inclusive, and application-oriented research that addresses current challenges while envisioning sustainable and transformative futures. From DNA extraction protocols and antacid formulation analysis to decentralized finance, migration-driven language change, and AI-powered fraud detection, this issue showcases both scientific depth and real-world relevance.

IJFRI is committed to providing a platform for global researchers, young scholars, and practitioners to collaborate, contribute, and innovate.

The June 2025 edition (Volume 1, Issue 3) of the International Journal of Future Research and Innovation marks the continuation of our commitment to multidisciplinary research and timely academic dissemination. This mini-issue features a focused scholarly contribution addressing emerging issues in its respective field. While additional manuscripts are currently under peer review for subsequent issues, we are publishing this article independently to maintain our monthly release schedule and uphold transparency with our readers and contributors.

We thank our authors, reviewers, and editorial team for their continued support and welcome submissions for upcoming editions.

Volume 1, Issue 2 (May 2025) of the International Journal of Future Research and Innovation showcases original research at the forefront of technological innovation, behavioral studies, and multidisciplinary applications. This issue explores critical themes including AI-powered web security, predictive analytics in healthcare, digital behavior and loneliness, and lightweight machine learning models for real-time environments.

Each article reflects IJFRI’s commitment to bridging theory with practical insight, encouraging research that is ethical, scalable, and socially impactful.