IBM, Cleveland Clinic partner on next-gen computing for health R&D

• The organizations hope that will spur the development of clinical tools and new treatments for a range of diseases.

"In a data-hungry field like health care, data is becoming the biggest asset to deliver better care for our patients. It is only a matter of time before the field realizes how critical quantum [computing] is to this," says Lara Jehi, a physician and chief research information officer at the Cleveland Clinic.

What's happening: IBM will direct high performance cloud-based computing resources to the Cleveland Clinic's new Global Center for Pathogen Research & Human Health.

• IBM also plans to install one of its current quantum computers on-site at the center later this year — the first in the U.S. outside of an IBM facility — to be followed eventually by a more powerful version that is still in development by the company.
• The Cleveland Clinic and IBM also say they'll focus on educating and training a workforce skilled in data science and quantum computing, which is critical to the development of the technology.

What they're saying: Access to AI and high performance computing will allow clinicians to more quickly understand which therapies work better against specific cancers and to further develop vaccine immunotherapies, Jehi says.

• The top research priorities are using access to IBM's computing resources for analyzing viral genomes and vaccine development.
• They also plan to speed the development of tools that can help predict outcomes and treatment courses for people with COVID-19, as well as their risk of developing long-term complications of COVID, she adds.

The big picture: The partnership is also a testbed for efforts to accelerate the pace of scientific discovery using automation, AI, quantum computing and other technologies.

• Dario Gil, who directs IBM Research, envisions compressing the time and cost of discovery by a factor of 10 using natural language processing to mine scientific literature, simulations to conduct virtual experiments, generative AI models to come up with hypotheses, and robotics to further automate laboratories.
• "I think we are going to pioneer a new approach to how to do science with deep and profound consequences anywhere you do R&D and scientific discovery," he says.

What to watch: Whether and how new tools, particularly for making clinical care decisions, address sources of bias in data and are fairly used in health care.

Go deeper:

• The race to build a quantum economy
• Quantum computing's growing advantage