Abstract: This study examines the profound influence of Big Data (BD) on healthcare and bioinformatics, elucidating the synergistic relationship between data science and these disciplines. It emphasizes the transformative impact of big data on healthcare delivery, disease management, and biological research. Throughout our discussions, we highlight how advanced analytical methodologies, machine learning (ML), and artificial intelligence (AI) are pivotal in facilitating the acceleration of genomic research, clarifying the genetic foundations of diseases, and advancing innovative therapies. We further detail the different computational tools in bioinformatics, highlighting their instrumental role in decoding intricate biological processes, allowing scientists to rapidly and proficiently unravel the mysteries of the human genome. The study addresses the dual aspects of benefits and challenges posed by BD, envisioning a future where data-driven innovations catalyze breakthroughs in healthcare and advance our understanding of the biological world. Finally, this study guides professionals, researchers, policymakers, and key stakeholders in navigating the fast-evolving landscape of healthcare and bioinformatics in this data-driven era.
Real-Time Artificial Intelligence (AI), Taylor and Francis, 2026
Kassim Kalinaki, Wasswa Shafik, Khairul Eahsun Fahim
The Convergence of Federated Learning and Healthcare 5.0 and Beyond: A New Era of Intelligent Health Systems, Springer, 2026
Wasswa Shafik, Kassim Kalinaki
Emerging Technologies and Business Development in the Tropics, Taylor and Francis, 2026
Afiqah Amin; Kassim Kalinaki
IGI Global, Global Perspectives on Digital Governance and National Transformation, 2025
Madinah Nabukeera, Kassim Kalinaki, Moses Matovu