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 Prophet Cloud Gives Prosper Digital Therapeutics Tools to Boost Patient Care at Lower Cost 



Prophet Cloud conveys prescriptive information science to improve patient consideration and reduces expenses by 25% 


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Blemish 18, 2021, 08:00 ET 


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AUSTIN, Texas, March 18, 2021/PRNewswire/ - Oracle today declared that Prosper Digital Therapeutics (ProsperDTX), an organization that sets patient clinical information with causal AI to create customized treatment plans, has chosen Oracle Cloud Infrastructure (OCI) Data Science to have its AI stage. ProsperDTX utilizes Oracle Autonomous Data Warehouse and OCI Object Storage to ingest and store information from various sources, including clinical records frameworks and wearables, continuously for quicker prescient demonstrating. With the phenomenal medical services requests welcomed on by the COVID-19 pandemic, prescient information science demonstrating is basic to driving patient-focused arrangements. 



"We chose Oracle Cloud Infrastructure on account of its one of a kind capacity to rapidly deal with immense measures of information and empower a quicker an ideal opportunity to showcase for our medical services arrangements. We've effectively understood a 25 percent cost saving," said Robert Goldberg, CEO, Prosper Digital Therapeutics. "With a demonstrated record of offering cloud arrangements and aptitude for the medical services industry, Oracle is an instrumental accomplice to our organization's future development." 

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"We are eager to work with ProsperDTX to help improve their capacity to transform the force of AI into better tolerant consideration," said Greg Pavlik, senior VP, information and AI, Oracle Cloud. "With our skill in the medical care field and our powerful environment of medical services clients, we anticipate joining forces with ProsperDTX to speed up its organization extension as the organization develops into its next phase of advancement." 


ProsperDTX's AI innovation creates causal models for every person, in this way building up a consideration plan that can keep away from inconveniences identified with malignant growth. By asking 'imagine a scenario in which' questions, for example, 'would I actually get cellular breakdown in the lungs in the event that I keep smoking or quit smoking?' ProsperDTX can set up causal connections and model what might occur later on without a treatment or a postponement of treatment in manners that advance results. This can't be accomplished with conventional AI which has hitherto centered around review, or in reverse looking examination. What probably caused this present individual's coronary episode? Was it smoking, awful eating routine, absence of activity, the entirety of the abovementioned? ProsperDTX AI centers around future results, not the previous reasons for current conditions.

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