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Imagine a doctor capable of memorizing the entire world's scientific literature in a matter of seconds, capable of analyzing billions of terabytes of genomic data and predicting the onset of a disease years in advance. This is not science fiction, but the daily reality of artificial intelligence models applied to contemporary healthcare. Neural networks and deep learning algorithms are performing extraordinary diagnostic miracles, yet at the very peak of this glorious digital

The meeting of molecular biology and advanced artificial intelligence is marking a historic turning point for medicine. This is not simply about more powerful tools, but about a real paradigm shift: we are moving from a science that observes and describes life to one that can predict it — and increasingly, design it. For decades, biomedical research relied on a slow and costly trial-and-error approach. Developing a new drug could take more than ten years and cost over $2 bill

Originally published on: Vanity Fair Antonio Giordano, a leading expert in cancer genetics, cell cycle regulation and gene therapy, was...