IBM, Public Health Groups Form Global Pandemic Initiative

IBM and over twenty major worldwide public health institutions, including the World Health Organization and the Centers for Disease Control and Prevention, announced the Global Pandemic Initiative, a collaborative effort to help stem the spread of infectious diseases.

With growing concerns over potential outbreaks of new strains of disease, and their ability to spread more easily because of modern transportation, IBM scientists have formed a steering committee with worldwide health organizations and universities to guide efforts to address the issue. Together, they will explore the use of advanced analytical and computer technology as part of a global preparedness program for responding to potential infectious disease outbreaks around the world.

IBM will bring to bear several of its key technologies and is establishing healthcare "Innovation Centers" at the company's worldwide Research laboratories to work with the global healthcare community in this collaborative effort.

"The threat of a pandemic is a definitively global phenomenon," said Samuel J. Palmisano, IBM's chairman and chief executive officer. "Our response must be similarly global, and must rely -- as with so many other major issues we face today -- on open, collaborative innovation. IBM is proud to join with our partners in this effort, grounded in our core value of 'innovation that matters.'"

Central to the effort will be the use of advanced software technologies, elements of which IBM intends to contribute to the open-source community, that are designed to help share information on disease outbreaks electronically and use it to predict how diseases will spread.

Among the technologies that will be used is a software framework IBM developed to allow electronic health information to be more easily shared and mined for trends, such as the outbreak of disease. Called the Interoperable Healthcare Information Infrastructure (IHII), the technology is designed to improve communication and collaboration among medical professionals and researchers by helping them collect and share health data. IBM will expand the role of IHII to include public health issues, responding to global calls for pandemic preparedness by facilitating the sharing of clinical data among medical facilities, laboratories and public health agencies.

IBM also plans to build a community of users around its epidemiological modeling framework, called Spatio-Temporal Epidemiological Modeller (STEM), which can tap the information collected from IHII, along with additional information such as roadmaps, airport locations, travel patterns, and bird migration routes around the world. It will allow users to rapidly develop models for how a disease is likely to geographically spread over time. These models can help public health experts and governmental planners develop more effective preparedness plans.

Ultimately, those plans could include development and distribution of more effective and timely vaccines as IBM taps into knowledge gained through a planned collaborative initiative known as "Project Checkmate," in which IBM and The Scripps Research Institute propose to conduct advanced biological research on influenza viruses. The collaboration is designed to predict the way viruses will mutate over time using advanced predictive techniques running on high performance computing systems, such as IBM's BlueGene supercomputer, allowing effective vaccines to be developed by drug-makers, drawing on the immunology and chemistry expertise at Scripps.

IBM scientists at the company's Research Labs in China, India, Israel, Japan, Switzerland and the U.S. will serve as focal points for the collaboration. Among the members of the Pandemic Initiative steering committee are: US Agency for International Development, Centers for Disease Control and Prevention, World Health Organization, Scripps Research Institute, University of Pittsburgh Medical Center - Center for Biosecurity.

Contact information:
Michael Loughran
IBM Media Relations
914.945.1613
This email address is being protected from spambots. You need JavaScript enabled to view it.

Most Popular Now

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

AI Tool Helps Predict Relapse of Pediatr…

Artificial intelligence (AI) shows tremendous promise for analyzing vast medical imaging datasets and identifying patterns that may be missed by human observers. AI-assisted interpretation of brain scans may help improve...

Detecting Lung Cancer 4 Months Earlier a…

GPs may soon be able to identify patients with an increased risk of lung cancer up to 4 months earlier than is currently the case. The GP should be able...

An AI Tool Grounded in Evidence-Based Me…

A powerful clinical artificial intelligence tool developed by University at Buffalo biomedical informatics researchers has demonstrated remarkable accuracy on all three parts of the United States Medical Licensing Exam (Step...

Infectious Disease Surveillance Platform…

The Biothreats Emergence, Analysis and Communications Network (BEACON) leverages advanced artificial intelligence (AI), large language models (LLMs) and a network of globally based experts to rapidly collect, analyze, and disseminate...

Right Patient, Right Dose, Right Time

While artificial intelligence (AI) has shown promising potential, much of its use has remained theoretical or retrospective. Turning its potential into real-world healthcare outcomes, researchers at the Yong Loo Lin...

AI-Powered Analysis of Stent Healing

Each year, more than three million people worldwide are treated with stents to open blocked blood vessels caused by heart disease. However, monitoring the healing process after implantation remains a...

Children's Health Ireland to Transf…

Healthcare teams responsible for paediatric care in Ireland are to save significant time in accessing important diagnostic imaging and reports, with the help of a new agreement with medical imaging...