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In the realm of AI, we perceive a similar evolution of capabilities, where systems learn to adapt and refine their responses based on intricate patterns derived from vast datasets. Modern AI can innovate solutions through a process of combinatorial tinkering—adjusting parameters in expansive neural networks to better fit information and tasks.
The Coalescence of AI and Medicine
Kellis's vision extends to the future of medicine, where AI reveals the potential for a unifying framework in understanding complex diseases. As traditional boundaries dissolve, Kellis highlights a convergence across distinct scientific disciplines that enables a new approach to healthcare.