Prying open the AI black box | ScienceDaily

Meet SQUID, a new computational tool. Compared with other genomic AI models, SQUID is more consistent, reduces background noise, and can yield better predictions regarding critical mutations. The new system aims to bring scientists closer to their findings' true medical implications.

How does it work so much better? The key, CSHL Assistant Professor Peter Koo says, lies in SQUID's specialized training. "In silico experiments are no replacement for actual laboratory experiments. Nevertheless, they can be very informative. They can help scientists form hypotheses for how a particular region of the genome works or how a mutation might have a clinically relevant effect," explains CSHL Associate Professor Justin Kinney, a co-author of the study.

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