Article | April 10, 2024

Something To Believe In — AI And Accelerated Computing In Healthcare

By Dan Spellman, Global AI Cloud Director, Healthcare & Life Sciences at Oracle

AI business analysis, innovative and business growth development-GettyImages-1274437411

The life sciences and healthcare sectors are on the cusp of a groundbreaking transformation, thanks to the incredible power of generative AI. This cutting-edge technology has the potential to revolutionize the healthcare industry, with particular applications in radiology and drug design. The advancements in supercomputing, high-performance networking, and cloud technology are paving the way for unprecedented levels of innovation and creativity in this field.

As this technology becomes more widely adopted, those in the industry have noted that accelerated computing is revolutionizing clinical sequencing, setting new records, and delivering quicker insights — potentially saving lives. From drug discovery to clinical trial implementation, the technology has quickly become integrated across the entire therapeutic development process, streamlining operations and enhancing efficiency for research teams.

However, there are challenges and ethical considerations that must be addressed, including data privacy and security, algorithmic bias, and regulatory frameworks. Despite these obstacles, the journey towards AI-powered innovation in healthcare is just beginning, holding immense potential to significantly improve health outcomes and enhance the efficiency of healthcare delivery. Discover how embracing this transformative era could lead to a brighter and healthier future for all.

access the Article!

Get unlimited access to:

Trend and Thought Leadership Articles
Case Studies & White Papers
Extensive Product Database
Members-Only Premium Content
Welcome Back! Please Log In to Continue. X

Enter your credentials below to log in. Not yet a member of Clinical Leader? Subscribe today.

Subscribe to Clinical Leader X

Please enter your email address and create a password to access the full content, Or log in to your account to continue.

or

Subscribe to Clinical Leader