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What if the next scientific breakthrough isn’t found in a lab—but in an algorithm? Across the life sciences, researchers are drowning in data—from genomics to clinical trials to biomedical literature. The real bottleneck isn’t discovery—it’s the process of making discoveries. Now, AI is becoming the invisible co-researcher. Intelligent systems can analyze complex genomic datasets, draft study protocols, summarize new papers, and even perform quality checks on single-cell RNA data—all through nat
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Master of Science in Engineering, Computer Science
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