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

AI-Powered CRISPR could Lead to Faster G…

Stanford Medicine researchers have developed an artificial intelligence (AI) tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help...

AI Tools Help Predict Severe Asthma Risk…

Mayo Clinic researchers have developed artificial intelligence (AI) tools that help identify which children with asthma face the highest risk of serious asthma exacerbation and acute respiratory infections. The study...

ChatGPT 4o Therapeutic Chatbot 'Ama…

One of the first randomized controlled trials assessing the effectiveness of a large language model (LLM) chatbot 'Amanda' for relationship support shows that a single session of chatbot therapy...

AI Distinguishes Glioblastoma from Look-…

A Harvard Medical School–led research team has developed an AI tool that can reliably tell apart two look-alike cancers found in the brain but with different origins, behaviors, and treatments. The...

AI Model Forecasts Disease Risk Decades …

Imagine a future where your medical history could help predict what health conditions you might face in the next two decades. Researchers have developed a generative AI model that uses...

Smart Device Uses AI and Bioelectronics …

As a wound heals, it goes through several stages: clotting to stop bleeding, immune system response, scabbing, and scarring. A wearable device called "a-Heal," designed by engineers at the University...

Overcoming the AI Applicability Crisis a…

Opinion Article by Harry Lykostratis, Chief Executive, Open Medical. The government’s 10 Year Health Plan makes a lot of the potential of AI-software to support clinical decision making, improve productivity, and...

AI Model Indicates Four out of Ten Breas…

A project at Lund University in Sweden has trained an AI model to identify breast cancer patients who could be spared from axillary surgery. The model analyses previously unutilised information...

Dartford and Gravesham Implements Clinis…

Dartford and Gravesham NHS Trust has taken a significant step towards a more digital future by rolling out electronic test ordering using Clinisys ICE. The trust deployed the order communications...