Typing the human genome letter-for-letter will result in a stack of paper as tall as the Statue of Liberty. These huge data sets require fast processing to solve complex healthcare issues that can save or improve lives. Cloud solutions can accelerate time-to-insight for a range of applications, including clinical genomic sequencing, drug design, and cancer research. Cloud-based artificial intelligence (AI) and analytics tools can be used to help doctors identify and locate diseases faster by processing and analyzing the genome files.
The flexibility of multi-cloud tools layered over cloud-adjacent big data lakes makes these life-altering analytics possible in shorter amounts of time, with less complexity and reduced management overhead.
LEVERAGE AI TO SPEED UP DIAGNOSIS AND PATTERN RECOGNITION
Hospitals can store and organize Picture Archiving and Communication System (PACS) data in a centralized location, accessible by all clouds simultaneously. This allows teams to leverage innovative and cutting-edge AI tools of choice to analyze medical images that could lead to early diagnosis of life-threatening issues
ACCELERATE RESEARCH AND TIME TO INSIGHT
Geographically dispersed researchers around the world can share and access the same datasets with on-demand scalable cloud compute resources, reducing migration time that can quickly evaporate research grants.
BOOST REGULATORY COMPLIANCE
Maintaining ownership of data improves regulatory compliance and protects IP, especially as it pertains to personal identifying information (PII), protected health information (PHI), and regulated medical and personal records.