AI-Powered Clinical Trials: The Future of Drug Development

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Case Study Title:

AI and the Future of Healthcare: How Rodins Software Services is Helping Pharmaceutical Companies Improve Patient Care.

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Client:

AstraZeneca

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Industry:

Pharmaceutical

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Challenge:

The need to collect and manage large amounts of data from clinical trials
The need to ensure the security and compliance of this data
The need to make the clinical study process more efficient and streamlined
A need for AI-powered tools that can help clinicians to better diagnose patients on the fly when they report how they feel after taking experimental drugs. This is important because it can help to ensure that patients receive the correct treatment as quickly as possible.
A need to personalize the patient experience. This includes providing patients with information that is relevant to their specific condition or to suggest clinical trials that are a good fit for them.
A need for Healthcare Professionals to gather clinical information from patients that signed up for a clinical trial. This includes a mobile app that patients can use to report their symptoms to Healthcare Professionals and an HCP platform that helps to obtain that information.

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Solution:

Rodins Software Services is developing a platform that will address these challenges. The platform will provide a centralized repository for clinical trial data, which will allow AstraZeneca to easily collect, manage, and analyze this data. The platform will also include security and compliance features that will help to protect the data. Additionally, the platform will include features that will help to streamline the clinical study process, such as automated data collection and reporting. The platform will also include a mobile app for patients to report their symptoms and an HCP platform that will help Healthcare Professionals to obtain this information.
The platform will also implement AI-powered tools that can help clinicians to better diagnose patients on the fly when they report how they feel after taking experimental drugs. These tools will use natural processing language (NLP) to analyze the patient's symptoms and to identify any potential red flags. This information will then be presented to the clinician in a clear and concise way, which can help them to make a more accurate diagnosis.

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Results:

The platform is still under development, but it has already shown promise in addressing the challenges that AstraZeneca is facing. The platform has helped to streamline the clinical study process, which has saved AstraZeneca time and money. The platform has also helped to improve the accuracy of data collection and analysis, which has led to better decision-making. The platform is still in the early stages of development, but it has the potential to significantly improve the clinical study process for AstraZeneca and other pharmaceutical companies.

Our Stack:

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Angular React JS Node JS Spring Boot Java Scala Python

PostgreSQL MySQL Redis GitHub Docker

Call to Action:

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If you are a pharmaceutical company that is looking to improve your clinical study process, I encourage you to consider Rodins Software Services. Our platform is still under development, but it has the potential to significantly improve the clinical study process for pharmaceutical companies. We are committed to working with our clients to ensure that our platform meets their specific needs.