rare diseases
See the following -
Can A Mobile App Boost The Signal About Rare And Neglected Diseases?
One of the great things about mobile apps is that they are low-profile, easy-to-adopt tools that theoretically could remove traditional barriers between information sources...Nowhere is this more evident, or more important, than in the area of rare and neglected disease research, where disparate (and often desperate) information seekers need better ways to access and share information. Read More »
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Can Open Science Help Patients And Save Pharma?
Open science research and development hybrid development model can protect pharma company profits while reducing costs of medicines for consumers Read More »
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Hacking On Health: Open Source For The Rare Disease Community
[...] At first glance, rare diseases seem to only affect a small number of people, but in reality their aggregate impacts close to 30 million patients in the US, and about 25 million in the EU alone. This impact also extends to the millions of caregivers and families, who also feel and live with the disease, just in a different way. Read More »
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International Team of Scientists Open Sources Search for Malaria Cure
The Open Source Malaria (OSM) project operates along very similar lines to traditional medicinal chemistry projects in that the team is looking for an antimalarial drug candidate suitable for Phase 1 clinical trials. However, the day to day running of the project works quite differently and is probably most clearly defined by the team’s commitment to The Six Laws of Open Science... Read More »
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Proposed Orphan Drug Framework For Canada
The gold standards for Orphan Drug Policies are those in the United States and the European Union. Canada is one of the few developed countries without a regulatory framework for orphan drugs. Hopefully, that will soon change. Health Canada are currently developing a National Orphan Drug Framework.
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Recursion Releases Open Source Data from Largest Ever Dataset of Biological Images, Inviting Data Science Community to Develop New and Improved Machine Learning Algorithms for the Life Sciences Industry
Recursion, a Fast Company "Most Innovative Company" and leader in the artificial intelligence for drug discovery movement, today announced it will open-source a glimpse of the massive biological dataset the company has been building for more than five years. At more than two petabytes, and across more than 10 million different biological contexts, Recursion's data is the world's largest image-based dataset designed specifically for the development of machine learning algorithms in experimental biology and drug discovery.
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Why Open Source Drug Discovery Needs A “Champion”
Yesterday I attended the Southeast Venture Philanthropy Summit held in Chapel Hill. Attendees included VC, philanthropy types, disease foundations (big and small), bioscience organizations, scientists from all over the country... Read More »
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Sixth Hackathon On Rare Diseases - SUNY Albany April 12th
The Sixth Hackathon for Rare Diseases will take place on Saturday April 12th at the State University of New York at Albany. This is a follow up of the Fifth Hackathon for Rare Diseases that took place on February 22nd. The goal of the Hackathon is to continue implementing the prototype of a web-based platform for facilitating the information management of members of the Rare Diseases community. A first pass at the prototype is currently available here in Github, under the Apache 2.0 License.
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2014 Bio-IT World Conference & Expo
The 2014 Bio-IT World Conference & Expo plans to unite 2,500+ life sciences, pharmaceutical, clinical, healthcare, and IT professionals from 30+ countries. The Expo provides the perfect venue to share information and discuss enabling technologies that are driving biomedical research and the drug development process.
Since its debut in 2002, the annual Bio-IT World Conference & Expo has established itself as a premier event showcasing the myriad applications of IT and informatics to biomedical research and the drug discovery enterprise. The 2014 program will feature compelling talks from industry and academia on new trends in data generation, knowledge management, and information technology in life sciences and drug development, including best practice case studies and joint partner presentations relevant to the technologies, research, and regulatory issues of life science, pharmaceutical, clinical and IT professionals.
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