We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Project Checkmate A research collaboration (with the Scripps…
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > Project Checkmate A research collaboration (with the Scripps…
Business Intelligence

Project Checkmate A research collaboration (with the Scripps…

JackMason
JackMason
3 Min Read
Project Checkmate A research collaboration (with the Scripps...
Illustrative image generated with OpenAI gpt-image-1.
SHARE

Project Checkmate
A research collaboration (with the Scripps Research Institute) with the objective to anticipate, manage and contain infectious diseases. The project uses the capabilities of supercomputing in IBM’s Blue Gene with computational biology algorithms, biopatterning and microfluidics research, along with Scripps’s knowledge of biochemical modeling and drug discovery.

In the simplest terms, Project Checkmate is using advanced computing to determine the most likely, most infectious, and most lethal mutations the H5N1 virus might undergo, and then to help determine the best vaccine against such mutations. It represents a “first” for the fields of epidemiology and infectious diseases, since all previous vaccines have been created to combat existing, rather than expected, virus mutations, often with a “wait-and-see” approach which produces and deploys the vaccine often before knowing with any certainty whether that particular mutation will, in fact, turn out to be the most lethal and transmissible.

Project Checkmate, on the other hand, could provide much-needed information about the avian flu virus’s future state before it has reached that state—which could even allow pharmaceutical manufacturers to have a vaccine ready in time to head off what might otherwise become a deadly global bird flu pandemic.

More Read

5 Ways To Use Big Data For Small Businesses
5 Ways To Use Big Data For Small Businesses
Make Sure Metrics Don’t Kill Your Business
Big Data Helps Gaming Industry Implement Cross-Regional CS Strategies
The Newest Market Research Trade Organization
AI Advances Improve Collaboration of Project Management Tools

IBM – The race against bird flu – United States

Link to original post
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article is about replacing informal co-located management with deliberate asynchronous workflows
Managing a Software Development Dedicated Team Across Time Zones
Development Exclusive Software
Technical architecture diagram and decision framework for wikipedia editing services and ai training data: why llms still treat wikipedia as a source of truth
Wikipedia Editing Services and AI Training Data: Why LLMs Still Treat Wikipedia as a Source of Truth
Artificial Intelligence Exclusive
Flat editorial illustration: The article connects fragmented social-service records through shared pathways and selective informa
Turning Disconnected Information Data Into Better Social Service Outcomes
Big Data
Flat editorial illustration: The article explains how one KYC upload becomes separate records held by a verification vendor and a
What Happens to My KYC Data Behind the Approval Screen?
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

A Tale of Two Seas
Best PracticesBusiness IntelligenceData QualityData Warehousing

A Tale of Two Seas

6 Min Read
Harvard Gets Access to Twitter Data Stream to Predict Foodborne Illness Outbreaks
AnalyticsBig DataBusiness IntelligenceData MiningExclusiveModelingPredictive AnalyticsSocial DataText Analytics

Harvard Gets Access to Twitter Data Stream to Predict Foodborne Illness Outbreaks

4 Min Read
Innovation Management
Best PracticesBusiness IntelligenceKnowledge ManagementPolicy and Governance

Innovation Management

13 Min Read
BI in the Cloud
Business IntelligenceCloud Computing

BI in the Cloud

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?