CAMBRIDGE, Mass.--(BUSINESS WIRE)--Quantori, a leading global provider of end-to-end software engineering, data science, and digital transformation services for the life sciences and healthcare, today announced support for the AWS for Health initiative from Amazon Web Services to accelerate, simplify, and achieve data-driven decisions that innovate drug development and improve patient care. With deep domain knowledge, Quantori combines advanced data analytics, scientific knowledge management, and best-in-class software engineering to develop intelligent solutions that provide actionable insights for clinical decision support and for optimizing every step of the drug development process.
AWS for Health is an initiative featuring services and solutions from AWS and AWS partners, built specifically for healthcare, biopharma, and genomics customers. The initiative makes it easier for healthcare customers to select the right tools and partners for their highest-priority workloads across the healthcare ecosystem. For customers looking to accelerate deployments with solution-specific support, AWS for Health also identifies dedicated AWS healthcare industry specialists, AWS professional services teams, and leading AWS partners in each solution area.
“Quantori is proud to be an AWS Select Consulting Partner to help biopharma companies innovate on the AWS cloud platform,” said Richard Golob, Quantori’s CEO. “The life sciences industry has experienced rapid growth in the volume and types of biomedical data over the past 20 years, and Quantori has the expertise to deploy deep analytics and domain knowledge across expansive datasets to provide researchers and clinicians with actionable insights for developing precision therapies that improve patient lives.”
Quantori has been innovating at the intersection of data and life sciences for decades and boasts multiple AWS certifications and a host of cloud engineering projects and solutions based on AWS platforms for its customers. One such project involved developing a durable and scalable multi-tiered data warehouse (DWH) using Amazon Simple Storage Service (Amazon S3) and Amazon Relational Database Service (Amazon RDS). The customer, a U.S.-based biotech company, was challenged with an overly complex multi-source, multi-consumer data pipeline. Quantori swiftly developed a mature governance approach to DWH that provided the startup with data consistency and minimized the manual activity among its stakeholders by 45%.
For another project, Quantori employed AWS solutions for a research institute to develop and accelerate a machine learning (ML) pipeline for a complex bio-computational analysis of high-content nuclei images. Engaging various AWS services including SageMaker, Lambda, Batch, S3, EC2, and Gateway, Quantori developed an agile ML environment that allowed the research institute to scale analysis from thousands up to millions of nuclei images and enabled the scientists to achieve 90% nuclei detection.
In addition, Quantori utilizes leading AWS services to build High Performance Computing solutions for customers that include AWS ParallelCluster, Lustre FSx, S3 and EC2 integrated with data science tools like Jupyter, Rstudio, SLURM, and Dask. The HPC platform provides scientists with a great level of flexibility, allowing them to do research the way they want plus the ability to accelerate the computation using HPC in the cloud. One case example of this platform is performing molecular docking for millions of molecules on thousands of CPUs with results ready for analysis in hours. In addition to increasing the speed of research, another big advantage is having all the computation resources on-demand, paying only for what was used. The cost reduction compared to conventional HPC infrastructure in the cloud is up to 50% and more if spot instances are utilized.
“Digital and cloud-based technologies are proving transformative for biopharma companies, allowing them to power business agility, reduce costs, and accelerate drug discovery at every stage of the value chain, from R&D through commercialization,” said Yuriy Gankin, PhD, Quantori’s Chief Scientific Officer.
Quantori is a leading provider of end-to-end engineering, scientific informatics, and digital transformation services for life science and healthcare organizations around the world. Quantori’s value proposition is a combination of best-in-class software engineering, deep domain knowledge, and unsurpassed data science expertise that helps life science and healthcare companies successfully improve the agility of the research process and speed the time-to-market for life-saving therapeutics. Learn more by emailing firstname.lastname@example.org or visit the website at www.quantori.com and connect on social media @Twitter, @LinkedIn, and Facebook.