Bioinformatics Meets AI: Transforming Big Data into Breakthroughs in Biotechnology
Keywords:
artificial intelligence, big data, bioinformatics, biotechnology innovation, computational biologyAbstract
The convergence of bioinformatics and artificial intelligence (AI) is revolutionizing the biotechnology landscape, transforming biological big data into actionable insights and groundbreaking innovations. Bioinformatics, with its ability to manage and analyze massive datasets from genomics, proteomics, and systems biology, faces challenges of complexity and scale. AI's advanced techniques—machine learning, deep learning, and natural language processing—provide unprecedented tools for deciphering patterns, making predictions, and driving automation. This synergy has catalyzed remarkable progress in precision medicine, drug discovery, gene editing, and synthetic biology, heralding a new era of data-driven breakthroughs. This review explores the foundations, transformative applications, and recent breakthroughs at the intersection of bioinformatics and AI, while addressing challenges and envisioning a future where interdisciplinary collaboration unlocks the full potential of this powerful partnership.
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