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Cloud systems are now being used by some of the world's largest pharmaceutical companies to collaborate and accelerate clinical trials through geographically distributed R&D teams.
FREMONT, CA: As one unlocks the power of both human and health data, next-generation technologies such as artificial intelligence (AI) and machine learning promise to improve the way people live. Pharma and biotech companies are looking at new and better ways to offer IT services that are flexible, cost-effective, and stable. Improved analytics and real-time data processing are some of the most critical factors in accelerating drug discovery.
Embracing the Cloud for Enhanced Collaboration and Accessibility
While pharma companies have been reluctant to implement new technology like cloud computing due to enforcement and regulatory issues, the need for greater communication and data sharing forces them to accept the transition. According to one report, over the next 12-18 months, 65 percent of healthcare organizations will increase their technology spending on public cloud infrastructure services. Furthermore, when it comes to data center modernization, 20 percent of pharma companies will spend the most on hybrid cloud management software. Cloud systems are now being used by some of the world's largest pharmaceutical companies to collaborate and accelerate clinical trials through geographically distributed R&D teams. One company uses a cloud-based computational platform to design each mRNA (messenger Ribonucleic Acid) sequence using various algorithms.
Artificial Intelligence Can Fast-Track Data Analysis
Data is one of the most important aspects of the pharmaceutical industry since it can make or break a company's success. The pace at which an idea can be derived and the time it takes to enact or act on that insight can mean the difference between curing cancer and failing to get an FDA drug approved. As a result, for businesses to thrive and gain useful insights, they must efficiently use data analytics tools and technologies. Modern pharma companies understand the value of easily exchanging insights or sharing patient outcomes by using data visualization.
Whether an organization is performing drug trials (pre-clinical or phase 1/2/3) and wants to exchange data with a patient based on individual outcomes, or highlighting how different drugs or procedures affect different parts of the body, timely access to accurately visualized data has a direct effect on patient satisfaction. Computational drug discovery, for example, makes the drug creation process quicker and less expensive by combining cloud computing and artificial intelligence. The major pharmaceutical companies are putting this new approach to the test thanks to AI and cloud computing power developments. Pharma companies are using this tech-driven process to create both conventional drugs and entirely new types of medications that function at the level of DNA and RNA to prevent disease.