From Code to Cells: How AI is Changing Biology

There has been a new advancement in bioinformatics that is a agentic AI that can process information and help scientists understand it. In late 2025, a study modeled AI to help scientists analyze data from Next-Generation Sequencing (NGS). This helps reveal gene expression, aka which genes are active in any given cell. Usually, analyzing NGS data is time-consuming and complex because it requires advanced programming and biological expertise. The AI analyzed the data, drew conclusions, and offered possible biological implications at a dramatic speed. This is revolutionary, given what has been possible in the past and what it might mean for the future.

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This interested me, and I feel that it will encourage other students interested in biology and programming. This is because it displays how AI and bioinformatics are combining to make science more efficient and accessible. These tools can provide opportunities for individuals who want to investigate genomic biology without being overwhelmed by a multitude of programming languages. A new era might emerge with the aid of these intelligent algorithms, helping us grasp life at the molecular level for not only students but also all bioinformaticians.