Geneware provides services and products to address the problems of target identification and validation
Age of digitalization
We’re at the age of digitalization. That’s no exception for scientific research and drug development. Experiments conducted in research laboratories generate an unprecedented amount of data at a speed, volume, and versatility that’s never seen before. This creates a paradoxical situation, on one hand, we’ve never had this much of data and information, on the other hand, we feel so lost in the ocean of data that we become disoriented and are unable to extract meaning and insights from it.
Heart of the problems
Drug target identification and validation has traditionally been done by experimentation in the labs, using cell and animal models. This is a laborious process, to say the least, but extremely time-consuming, which directly contributes to the gaps between scientific knowledge and medical applications. This is the bottleneck of drug development process. This problem can now be addressed much more feasibly with the digitalization of research and discovery. What used to take years and months to get answers through experimentation can now be done in a matter of days and hours through computing.
Values to drug development
We’re at the age of digitalization. That’s no exception for scientific research and drug development. Experiments conducted in research laboratories generate an unprecedented amount of data at a speed, volume, and versatility that’s never seen before. This creates a paradoxical situation, on one hand, we’ve never had this much of data and information, on the other hand, we feel so lost in the ocean of data that we become disoriented and are unable to extract meaning and insights from it.
Geneware – Engineering Within the Digital Realm
Geneware employes engineering principles of problem identification, complexity reduction, element reconstruction, scenario modeling to address and solve bottlenecks in traditional drug development that discovery and serendipity – based process inevitably encounters. The strength of Geneware technology is to avoid costly experimentation to seek answers where they could be obtained within the digital realm, through analysis and interrogation of data.
Geneware’s proprietary information and intelligence system collects, curates, organizes data of not one source from research or clinical or market, but multiple sources of all, and combines them for deep analytics to look for intelligence that answers the same questions otherwise would need to be answered with traditional drug development effort in the costs of millions of dollars and years in time.