As we continue to better understand genomics and its ability to advance precision medicine
and drive more personalized care, the adoption of next-generation sequencing (NGS) is
rapidly accelerating among healthcare, life sciences, research, and government organizations
around the globe.
Studies and real-world examples continue to demonstrate the positive impact of
integrating genomics across the health ecosystem, from early disease detection to more
personalized therapeutics. However, scalability, security, and cost-effectiveness remain
barriers to widespread adoption. And although sequencing costs have fallen, resource and
cost constraints associated with compute and storage have grown, along with increased
throughput and more data-heavy applications, such as single-cell genomics.
To meet these challenges, life sciences organizations are turning to AWS to increase agility
and speed and economically grow operations to meet increased demand. At the same
time, AWS is helping them to maintain compliance and adhere to privacy and security
best practices to help safeguard sensitive data. And as genomics makes its way into clinical
practice, AWS is helping organizations reduce turnaround times, deliver results in an
expedited manner and keep up with ever-increasing throughput.