Genomics: How Can Employing AI Enhance Healthcare?
The most expensive part of drug research is discovery, and improving drug candidate quality increases clinical trial success rates. A genomics-driven approach could enhance disease biology understanding, minimize R&D costs and time to market, and bring more targeted drugs to patients faster.
FREMONT, CA : Genomics is allowing for more personalized treatment by revealing which genes are involved in different medical conditions. Scientists are using genomics to figure out how Covid-19 spreads and influences the immune system, for example. This information can aid in the development of vaccines.
The data produced by a single human genome sequence ranges from 300GB to 1TB. Over the last decade, technological advancements have driven down the cost of sequencing, a previously expensive procedure, and resulted in an explosion of genomic data. This has opened up a plethora of possibilities for Artificial Intelligence (AI) in space. Companies are attempting to commercialize AI-based genomics solutions to produce improved pharmaceuticals, improve disease detection, and help clinicians identify the most appropriate therapies.
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Drug discovery and screening
According to one study, AI in drug discovery will be a 40 billion dollar market by 2027.
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