Dante Genomics , a global leader in genomics and precision medicine, announced a strategic AI collaboration with Amazon Web Services (AWS) to bring generative AI to clinical patient care. with genomic diseases.
Dante Genomics’ initial focus on whole-genome sequencing provides the company with a natural competitive advantage in creating large language models (LLMs) for clinical genomics. Each genome has 10,000 times more data than a traditional genetic panel and more than 20 times more data than whole exome sequencing.
“While companies were debating whether the exome contained too much data, we were focusing on whole-genome sequencing,” said Mattia Capulli , PhD, co-founder and chief scientific officer of Dante Genomics. “It wasn’t easy, but the time spent and strategic investments are paying off, providing us with an incredible source of data to advance clinical genomics LLMs.”
Dante Genomics uses the Amazon Bedrock Large Language Model (LLM) on the AWS platform to enable Dante customers to better access and navigate its extensive and growing collection of more than 130 genomic reports with genomic applications in clinical areas, including proactive detection, longevity and personalized medicine.
“For more than seven years, Dante Genomics has been steadfast in its mission to deliver whole genome sequencing at scale, and with an ever-growing database, our expertise in the clinical utility of the genome is unmatched,” said Andrea Riposati. , co-founder and CEO of Dante Genomics. “By partnering with the technology experts at AWS, Amazon Bedrock as a platform will help us make great strides in revolutionizing the daily application of genomic data in personalized medicine, delivering better health outcomes with genomic data as the foundation.”
In this collaboration, Dante Genomics aims to enable a subset of phenotypes, such as eye color, ancestry, and monogenic disorders such as cardiomyopathies, respiratory conditions, and seizures, to be explored using a chat-style interface.
This is an innovative use case for LLMs in genomic medicine based on extensive research into training honest and responsible AI systems. The system will transmit the result of genetic inference to the patient, allow the patient to easily distinguish comorbidities and request additional information, and accurately identify when a physician’s involvement is necessary.
SOURCE: Prnewswire