Tapping your genome with AI and quantum computing could deliver on the promise of personalized medicine – but practical and ethical hurdles remain
Scientists are working to understand the human genome using AI and quantum computing to deliver personalized medicine, but practical and ethical hurdles remain. Combining AI and quantum computing has the potential to accelerate genomic analysis and inform urgent treatment decisions.
Decades after the human genome was first sequenced, scientists are still working to understand it. AI can help decipher genetic variations, but requires comparing thousands of genomes, a task that is computationally intensive and prone to error. Quantum computing can facilitate this process by checking multiple possibilities simultaneously. Researchers face challenges related to scalability, error correction, and hardware development, with experts estimating it may be at least a decade before quantum computing is truly useful outside the laboratory. If these challenges are overcome, combining AI and quantum computing may enable scientists to better understand the human genome and improve patient care. Currently, researchers can use AI to analyze genomic data in combination with limited amounts of other biological information.
This content was automatically generated and/or translated by AI. It may contain inaccuracies. Please refer to the original sources for verification.