Donating computer power to fight malaria

Help scientists tackle malaria by volunteering your...computer! CERN, the European Organization for Nuclear Research, is calling on people worldwide to donate some of the spare capacity on their home and business computers in order to run Malaria.net, a computer model for malaria epidemiology. The model aims to help improve the ability of researchers to predict, and hence control, the spread of malaria in Africa.

Malaria is the world's most frequent parasitic infection. It is a potentially deadly disease transmitted by mosquitoes, living in hot marshy regions. At least 500 million people are infected each year in the world, resulting in more than a million deaths, mostly in Africa and in young children. Malaria kills one African child every 30 seconds.

Simulation models of the transmission dynamics and health effects of malaria are an important tool for malaria control. They can be used to determine optimal strategies for delivering mosquito nets, chemotherapy, or new vaccines which are currently under development and testing. But such modelling is extremely computer intensive, requiring huge amounts of power for simulations of large human populations involving a diverse set of parameters related to biological and social factors that influence the distribution of the disease.

This is where the MalariaControl.net programme comes in. Developed by the Swiss Tropical Institute, the Malaria.net computer model can be downloaded onto any computer in the world from the AFRICA@home website to make scientific calculations. It does this in the background, while the computer is being used for other tasks. Results are collected at regular intervals and returned to the project team for evaluation.

In its first test phase, the Institute used 500 computers to run a malaria simulation, which, it claims, would otherwise have taken 150 years of processing time on a single computer. Speaking about the results obtained so far, Professor Tom Smith of the Swiss Tropical Institute said: "We have already done more epidemiological modelling in a few months than we could have achieved on our own computer cluster in a few years."

While most of the volunteer-computing power will come from the developed world - North America and Europe in particular, one of goals of the project is to involve African universities and institutions in developing and running the applications that will run on the volunteer computers. Already researchers from the University of Bamako in Mali and the Agence Universitaire de la Francophonie in Bamako and in Yaound?, Cameroon, have joined the project team. "CERN has traditionally been a meeting place for scientists from around the globe, and I am glad that we could host the joint African-European team that launched this project. This underlines our continued commitment to promoting the role of science in the information society, as emphasised at the World Summits on the Information Society in Geneva and Tunis," said Dr Robert Aymar, Director General of CERN.

For further information, please visit: http://africa-at-home.web.cern.ch/africa%2Dat%2Dhome/index.htm

Copyright ©European Communities, 2006
Neither the Office for Official Publications of the European Communities, nor any person acting on its behalf, is responsible for the use, which might be made of the attached information. The attached information is drawn from the Community R&D Information Service (CORDIS). The CORDIS services are carried on the CORDIS Host in Luxembourg – http://cordis.europa.eu.int. Access to CORDIS is currently available free-of-charge.

Most Popular Now

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

Alcidion Grows Top Talent in the UK, wit…

Alcidion has today announced the addition of three new appointments to their UK-based team, with one internal promotion and two external recruits. Dr Paul Deffley has been announced as the...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

Are You Eligible for a Clinical Trial? C…

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates. Researchers...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...