GxP Technologies

Artificial Intelligence (AI) and Machine Learning in Life Sciences

Artificial Intelligence (AI) and Machine Learning in Life Sciences

AI and machine learning are enabling ground-breaking experimentation and innovation in life sciences.

How can life sciences organizations use AI and automation? Opportunities for operational efficiencies and increased employee productivity exist across all domains. AI has accelerated innovation, product development, and the use of real-world evidence in sectors like:

  • Genomics
  • Precision medicine
  • Patient-centered healthcare
  • Digitized and virtual clinical trials
  • Digitized therapeutics
  • Multi-stakeholder R&D

USDM recognizes the challenges companies face in adopting solutions that include machine learning, artificial intelligence, and automated testing.

For example, learn how USDM helped a Top 5 global pharmaceutical company create a continuously validated and qualified AI framework for their Microsoft Azure tech stack.

Hear USDM's John Petrakis talk phase 1 approach of on-boarding AI in life sciences

To hear more about AI in life sciences, download our on-demand webinar: 2024 Life Sciences Summit

Learn about the purpose-built AI framework from Sorcero, Google, and USDM. Get the white paper, A Comprehensive Guide to Responsible AI for Life Sciences

Accelerate Product Development with Machine Learning

To generate and synthesize more data to gain deeper insights, domain experts aided by data scientists rely on machine learning to develop and test statistical algorithms used in AI models.

As AI and ML become more commonplace in enterprise IT, it’s important to consider their compliant uses for GxP functionality and workflows in life sciences. Human critical thinking and embedded quality assurance are essential to any successful strategy, including a governance model to manage and measure AI development, deployment, and reuse.

USDM understands these considerations and we draw upon our domain expertise to implement a continuously compliant data science framework. Our consulting relationships with best-of-breed digital transformation partners equip your organization with viable solutions for big data management, AI, machine learning, and data science analytics.

Cloud-Based GxP Data Processing with AI

Cloud platforms provide a secure and compliant infrastructure in which your previously siloed data is accessible throughout your organization.

To support the use of AI and machine learning for strategic and data-driven decisions, USDM creates a well-designed blueprint for the governance and operation of GxP compliant cloud with:

Data Security with AI

Cloud-based systems offer a safe and secure solution for managing data. Medical facilities and service providers are migrating to cloud storage to give users access to data across a variety of electronic devices while reducing the costs and difficulties associated with maintaining a physical or on-premises storage system.

As the threat of cyberattacks increases, AI can provide solutions to keep systems and data safe. For example, AI can be used to collect, track, and analyze online activities, then report behavior that deviates from learned patterns and legitimate access and usage.

AI Modeling, Drug Discovery, and Manufacturing

Applying AI for drug discovery is proving to be successful for increased speed of discovery, comprehensive research, and opportunities for existing compounds. AI will also be a key player in personalized medicine.

Collecting and curating this kind of information requires scalable data storage while ensuring that it can be shared securely between internal and external collaborators.

AI-Powered Quality Management and Supply Chain Management

AI-driven quality management empowers your organization to improve its overall efficiency in processes and workflows. It helps you identify the causes of production problems and address issues that may lead to failures. AI saves you time and money while improving your operational effectiveness.


Automation in Clinical Trials

Automation in clinical trials can replace manual processes and streamline workflows.

For time-consuming tasks like data checking that depend on accuracy, robotic process automation (RPA) can do the work of several people, do it thoroughly, and do it in a fraction of the time.

Every role in your organization can benefit from automation. RPA can handle a single function or entire workflows. Decide where you want to extend human abilities and let automation help you write your next success story.

Contact us to explore how AI and machine learning might reveal untapped potential in your organization. We’ll help you achieve compliant AI-driven outcomes.

Contact us today to schedule a consultation and learn more.

Related Services

Development & Configuration

As the most trusted life sciences consulting partner, USDM has the right people and know-how to configure your GxP technology and workflows to help your employees work smarter.

ProcessX GxP Workflow Automation


ProcessX is an intelligent, fully validated, GxP process automation platform built on ServiceNow for all those processes that still have you pushing paper.

GxP Cloud Platforms

Your success depends on harnessing cloud technology to enable your teams to work from anywhere, build platforms that differentiate your company, and innovate faster. 

Resources that might interest you

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