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The Future of Life Sciences: Computational and Digital Twins
The future of life sciences was predicted to be computational back in 1981, emphasizing the construction of digital twins of living systems. Building digital twins enables conducting experiments and asking questions that would be dangerous or impossible in reality, allowing for informed decision-making. This approach proved critical in solving the protein folding problem using the protein data bank as raw data. This concept has since been applied in various fields, such as financial modeling, allowing for the exploration of different scenarios and decision-making based on the insights gained.