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IJLS PEER REVIEWED OPEN ACCESS INDEXED ONLINE MULTIDISCIPLINARY JOURNAL WIDE PUBLICATION

A Synopsis on the Yin Yang of Biology and Evolving Computational Science

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ABSTRACT

               With the continuous evolution and adaptation of analytical approaches, the digital pro forma that Biology now presents has become a compelling domain of work. As a discipline, Biology has undergone multifaceted growth, effectively leveraging the benefits of significant methodological advancements. This transformation has shifted the field from its historical reliance on qualitative observations and foundational discoveries to one increasingly dominated by high-throughput data generation and sophisticated computational analysis, setting the stage for an even more integrated and predictive future. This review aims to briefly document this profound journey, exploring the field’s past, its current state, and my perspective on its promising future.

KEYWORDS: Artificial intelligence, High-throughput data, Deep learning. Biology, Disease progression