CADD and Predictive Analytics
Informing the public of CADD (Computer Aided Drug Design) for "in silica" solutions to rare disease, as well as predictive analytics for monitoring and forecasting the risk of rare disease in community. This can be accomplished by a free online course. To encourage the subscription to the course addressing rare disease by this approach, CADD is presented in terms of how the algorithms have applications in other computer simulation applications as well.
The course finds essential analogies in CADD and predictive analytics.
Rare diseases, by the very nature of rarity, are unfortunately sidelined to diseases affecting the larger population. Due to the limited populations of those effected by rare disease, computer aided drug design to taught by means of an online course. In terms of evaluating a rare disease within a given population, the applications of medical statistics is presented.
Online course for medical statistics and computer aided drug design for the assessment of rare disease and possible discovery of cures for rare diseases, respectively.
The target population in terms of benefits is the population of those suffering from rare disease. The general population also benefits in the access to information on the quantitative assessments of how to identify rare diseases as well as the technology for possible cures.
- Leverage big data and analytics to improve the detection and diagnosis of rare diseases
Helping the public understand rare disease as a way to increase resources for this issue. This is accomplished by an online course which introduces medical statistics by means of examples in rare disease identification. The population being served is the population of those dealing with rare diseases as well as the public in terms of creating awareness.
- Concept: An idea being explored for its feasibility to build a product, service, or business model based on that idea.
The online course is in the development stage.
- A new application of an existing technology
It introduces to the general public predictive analysis and computer aided drug design (CADD) in a way that the general public can, hopefully, contribute to the medical issue of rare diseases.
Predictive Analytics and CADD are the main technologies for this solution.
Computer Aided Drug Design and Predictive Analytics are established, on-the-shelf technologies.
- Artificial Intelligence / Machine Learning
- Behavioral Technology
- Big Data
- Software and Mobile Applications
No
- Rural
- Minorities & Previously Excluded Populations
- Persons with Disabilities
- 3. Good Health and Well-being
- 4. Quality Education
- 17. Partnerships for the Goals
- United States
- Costa Rica
It is presently on online course in development and not available as a service as of yet. The market reach in 1-5 years is unknown.
The impact will be difficult to measure. The goal would be to carry market research in the first year as well as the following years following implantation of the online course in multiple languages.
The impact will be difficult to measure. The goal would be to carry market research in the first year as well as the following years following implantation of the online course in multiple languages.
- Not registered as any organization
Only one person is on the solution team at this moment.
- Individual consumers or stakeholders (B2C)
I believe my solution will be helpful for the issue of rare disease. Even if I do not win, I hope that I can present an important message on the technology for a possible cure as well for the monitoring and forecasting of rare diseases.
- Human Capital (e.g. sourcing talent, board development, etc.)
- Business model (e.g. product-market fit, strategy & development)
- Monitoring & Evaluation (e.g. collecting/using data, measuring impact)
The online course would introduce students to computer aided drug design (CADD) and predictive analytics, which incorporates topics ranging from big data to machine learning. The predictive analytics component presents how rare diseases can be monitored and forecasted.
A goal would be to work with UNESCO and the World Health Organization, WHO.