Epilepsy is one such cause where UCB had partnered with IBM to enhance patient care. Cognitive computing capabilities are harnessed by pharma industries to become big data pharma companies.
Epilepsy The two major giants UCB and IBM have started a project to capture the super computer power to give more personal care to patients suffering from epilepsy. UCB is a Belgium based pharma industry who had started to develop a bank of scientific literature along with the data on patients for epilepsy. They have developed the data bank receiving support from IBM for computing. Cognitive computing is used to have a predictive analysis from super computer power. Healthcare provider`s individual assessment is collated with the predictive analysis. Big data pharma refers to the patient data maintained in the system.
Use of data Medical experts believe in delivering best-n-class solutions to patients by having expert consulting with diverse group of experts. This group involves both external and internal group of experts. Technologies have come to the aid in revolutionizing this approach by delivering cognitive computing as well as maintaining big data pharma. System based analytics give use to a lot of tools and analysis is considered from different angles. Apart from this IT companies are offering a whole-hearted dedication to innovation and expertise for medical field. They prove the predictive value of computers.
Partnering IBM had taken up to partner with more parties for Epilepsy. Healthcare Technology communities come in the way to provide more support for IBM. This results in a positive approach where the project is set to reach a broadened range of patients and improve the outcomes for a longer term. This involves a more personalized treatment where the benefits will reach to the families of patients as well as to the healthcare industry as a whole.
Big Data Big data pharma has grown rapidly in the recent times. Developing new drugs should further consider cognitive computing. Drug prescription should get better to influence sales as well as to give good treatment. Although pharma companies sustain on sales but they involved R & D for their presence. Thus coming to a unified approach both sales and R & D use big data as a vital tool. Big data pharma goes to understand a doctor`s office better and then only influences sales. It does not threaten the privacy of a patient. Analytics come in to play and remains prominent. But here big data should support cognitive computing in developing new drugs more than selling.
Multimodal studies are required for present pharmaceutical development. In a big data era information is needed beyond human comprehension. But data alone is not enough. Data without analysis is not worth holding the same.
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