Artificial Intelligence in Pharma

Graphic reprensenting Pharma in AI

It's easy to understand why the digital revolution is a hot topic. It is now affecting all human activities. Artificial intelligence (AI) has gone past a straightforward robot that answers inquiries on your cell phone. This innovation is, as of now, changing the substance of pharmaceutical care and ai in pharma represents a great potential.

What should be visible is that, right now, most pharmacists who work in customer service invest a great deal of energy in devoting themselves to strategic and regulatory assignments that intelligent models could computerize. The pharmacist would thus transform from a caretaker of production, storage and dispensing to a maintainer of databases that will feedback his actions.

As of now, analysts and experts in the healthcare sector and the Information Technology (IT) area utilize artificial intelligence. In the public sphere, the electronic clinical record in the Unified Health System (SUS) and connecting methods were shown as an opportunity to integrate data from various information bases. The chance of man-made consciousness being available in the administration of drug care information, in a transversal way, interconnecting production, planned operations, and care information all make way for another era.

Most common AI Use Cases

Graphic reprensenting Pharma in AI

AI in the Research and Devlopment Process of Pharma Products

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    The use of artificial intelligence in pharmaceutical industry has demonstrated a tremendous potential in numerous areas of medical care, chemical research and discovery. By utilizing a lot of collected information, AI can discover and turn data into "usable" information.

AI in Generic Drug Processes

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    Utilizing AI devices and administering pharma machine learning, drug analysts can rapidly access enormous collections of databases of chemical elements and compounds. Also, with the assistance of AI, they can uncover stowed away fortunes.

Current restrictions of AI

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    The utilization of AI in clinical circumstances is as yet restricted.

Project References

forms showing how medical translation works

How Articial Intelligence can help with Cancer Image Translation AI in Medical Imaging

Group 1277

Category

Computer Vision, Generative Adversarial Networks

Client

Pharmaceutical Company

Potential industries

Automotive, Fashion

Industry

Pharmaceutical
Graphic representing AI Skill Gap Analytics

How Artifical Intelligence can support Human Ressources AI in Job Skills Assessment

Group 1277

Technology

NLP

Client

Science and technology company

Potential industries

Telco, Security, Retail, Logistics and Transportation, Insurance, Finance, Education

Industry

Pharmaceutical
Graphic showing the AI Project Lifecycle

Our Project Approach

The AI ​​project lifecycle has been adopted from an existing standard used in software development. Also, the approach takes into account the scientific challenges inherent in machine learning projects involving software development processes. The approach aims to ensure the quality of development. Each phase has its own goals and quality assurance criteria that must be met before the next stage can be initiated.