COVID-19 High Performance Computing Consortium Enters New Phase Focused on Helping Researchers to Identify Potential Therapies for Patients

IBMThe COVID-19 High Performance Computing (HPC) Consortium, a unique public-private effort to make supercomputing power available to researchers working on projects related to COVID-19, announced that it has entered into a new phase of operation focused on helping researchers to identify potential near term therapies for patients afflicted by the virus.

In this new phase, the Consortium plans to sharpen its focus on research projects that hold the potential to help improve patient outcomes within a six-month timeframe. This transition is due in part to the fact that there is now a greater volume of COVID-19 data available, creating more possibilities to potentially help patients than when the Consortium was launched in March 2020.

Created by IBM, The White House, and the US Department of Energy, the HPC Consortium brings together computing resources, software and services to help researchers everywhere better understand COVID-19, its treatments and potential cures. The Consortium has 43 members and has received more than 175 research proposals from researchers in more than 15 countries.

In its second phase of operation, the Consortium is particularly, though not exclusively, interested in projects focused on:

  • Understanding and modeling patient response to the virus using large clinical datasets
  • Learning and validating vaccine response models from multiple clinical trials
  • Evaluating combination therapies using repurposed molecules
  • Epidemiological models driven by large multi-modal datasets

"In just eight months, we've brought together an unprecedented scale of computing power to support COVID-19 research, and dozens of projects have already utilized these resources," said Dario Gil, Director of IBM Research. "At this stage, the Consortium partners believe that our combined computing resources now hold the potential to benefit patients in the near-term, as well as offering the potential for longer-term scientific breakthroughs."

"The Department of Energy is proud to play a significant role towards ending COVID-19," said Under Secretary for Science Paul Dabbar. "The second phase of the COVID-19 High Performance Computing Consortium can potentially provide tangible results to those affected by the virus, and we look forward to delivering these results to the American people."

Since its launch, the HPC Consortium has attracted new members from industry, government and academia worldwide. As a result, the Consortium's computing capacity has almost doubled to 600 petaflops, from 330 petaflops in March. Together, the Consortium has helped support more than 90 research projects including:

  • Understanding How Long Breath Droplets Linger: This research from a team at Utah State University simulated the dynamics of aerosols indoors, offering insight into how long breath droplets linger in the air. They found that droplets from breathing linger in the air much longer than previously thought, due to their small size when compared to droplets from coughing and sneezing.
  • Understanding How COVID-19 Impacts Different Populations Research from a team at Iowa State University on so-called orphan genes could help better understand why African Americans are more vulnerable to COVID-19. They found that a little-studied gene, F8A2, is expressed more in African Americans than European Americans in every tissue studied. Since the gene is believed to be involved in endosome mobility, this could affect COVID-19 infection.
  • Researching Drug Repurposing For Potential Treatments: A project from a team at Michigan State University screened data from about 1,600 FDA-approved drugs to see if there are possible combinations that could help treat COVID-19. They found promise in at least two FDA-approved drugs: proflavine, a disinfectant against many bacteria, and chloroxine, another antibacterial drug.
  • Examining the Potential of Indian Medicinal Plants: Research from India's Novel Techsciences screened plant-derived natural compounds from 55 Indian medicinal plants to identify compounds with anti-viral properties that could be used against eight SARS-CoV-2 proteins. They found that phytochemicals from plants Withania somnifera and Azadirachta indica show multi-potency against different coronavirus proteins, meaning that they could help fight multi-drug resistance that may arise as the virus evolves

About the HPC Consortium

The COVID-19 High Performance Computing (HPC) Consortium, https://covid19-hpc-consortium.org, is a unique private-public effort spearheaded by the White House Office of Science and Technology Policy, the U.S. Department of Energy and IBM (NYSE: IBM) to bring together federal government, industry, and academic leaders who are volunteering free compute time and resources on their world-class machines.

Most Popular Now

Philips Foundation 2024 Annual Report: E…

Marking its tenth anniversary, Philips Foundation released its 2024 Annual Report, highlighting a year in which the Philips Foundation helped provide access to quality healthcare for 46.5 million people around...

New AI Transforms Radiology with Speed, …

A first-of-its-kind generative AI system, developed in-house at Northwestern Medicine, is revolutionizing radiology - boosting productivity, identifying life-threatening conditions in milliseconds and offering a breakthrough solution to the global radiologist...

Scientists Argue for More FDA Oversight …

An agile, transparent, and ethics-driven oversight system is needed for the U.S. Food and Drug Administration (FDA) to balance innovation with patient safety when it comes to artificial intelligence-driven medical...

New Research Finds Specific Learning Str…

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto Area, differs from the real-world data, it could lead to patient harm...

Giving Doctors an AI-Powered Head Start …

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously...

AI Agents for Oncology

Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support...

Patients say "Yes..ish" to the…

As artificial intelligence (AI) continues to be integrated in healthcare, a new multinational study involving Aarhus University sheds light on how dental patients really feel about its growing role in...

Brains vs. Bytes: Study Compares Diagnos…

A University of Maine study compared how well artificial intelligence (AI) models and human clinicians handled complex or sensitive medical cases. The study published in the Journal of Health Organization...

'AI Scientist' Suggests Combin…

An 'AI scientist', working in collaboration with human scientists, has found that combinations of cheap and safe drugs - used to treat conditions such as high cholesterol and alcohol dependence...

Start-ups in the Spotlight at MEDICA 202…

17 - 20 November 2025, Düsseldorf, Germany. MEDICA, the leading international trade fair and platform for healthcare innovations, will once again confirm its position as the world's number one hotspot for...