Agentforce for Life Sciences

Build healthier connections from clinical and medical through commercial across patients, providers and partners with Agentforce for Life Sciences.

See how these leading companies are using Agentforce for Life Sciences.

Building Blocks of Agentforce for Life Sciences

Industry expertise on the unique jobs-to-be-done across life sciences businesses.

Unstructured and structured industry data across sources harmonized for right context and used through healthcare and life sciences data models.

Deep industry actions that cater to life sciences industry personas surfaced through Life Sciences Cloud.

Easily integrates with platform and third-party data to connect disparate health data and medical devices.

Start with pre-built Agentforce skills and use cases for Life Sciences.

Enhance patient engagement.

Automate manual tasks and boost patient services rep productivity and patient adherence with Agentforce. Human reps can now work in partnership with AI agents to verify benefits, monitor and improve overall patient outcomes.

Build and customize life sciences AI agents swiftly for any use case.

Enhance engagement from clinical, medical through commercial. With Agentforce, you can quickly create any agent using a wealth of industry data, processes, and functionality.

AI prebuilt for your industry
Quickly start using AI for Life Sciences without having to build anything from scratch.

Low code tools for quick customization
Rapidly create and customize AI agents with AI-powered low code builder

Built-in data security
Take advantage of Einstein Trust Layer for data privacy and security along with industry specific regulatory compliance like HIPAA.

Agentforce for Life Sciences FAQs

AI agents in life sciences are AI systems designed to operate alongside humans to perform a wide range of tasks in life sciences, from analyzing complex genomic data and predicting disease outcomes to optimizing clinical trials. By taking advantage of machine learning and advanced algorithms, AI agents can process and interpret vast amounts of life sciences data with high accuracy and speed, significantly enhancing the efficiency and effectiveness of research and healthcare practices. They are particularly valuable for their ability to integrate diverse data sources, continuously learn from new information, and provide personalized insights, ultimately contributing to more innovative and tailored medical interventions.

Agentic AI in life sciences are artificial intelligence systems that can act autonomously and make decisions on their own. These systems are designed to perform specific tasks or solve problems in the life sciences domain, such as drug discovery, genomics, and personalized medicine. Agentic AI can operate with a degree of independence, learning from data and adapting to new situations, which makes it particularly useful for complex and dynamic environments in research and healthcare. For example, agentic AI might be used to analyze large genomic datasets, or predict patient outcomes based on individual health data. This approach aims to enhance the efficiency and effectiveness of life sciences research and applications.

AI agents in life sciences bring numerous advantages, including enhanced efficiency and speed by processing and analyzing large datasets faster than humans, which is crucial for drug discovery and other research efforts. They also offer high accuracy and precision, reducing the risk of human error in critical areas like genomics and personalized medicine, where small mistakes can have significant consequences. By automating repetitive tasks, AI agents help lower costs and optimize resources, allowing researchers to focus more on iteration and innovation. Additionally, these agents can integrate and analyze data from multiple sources, providing predictive insights that aid in making informed decisions and managing risks in clinical trials and drug development.

Agentic AI in life sciences is used in many important ways. For example, it helps speed up the process of finding new drugs by automatically identifying and creating potential drug candidates. It also analyzes large amounts of genetic data to find links between genes and diseases, which can lead to more personalized treatments. In hospitals, these AI agents can predict how a disease might progress and how well a treatment will work, improving patient care. AI agents can make clinical trials more efficient by choosing the right patients and taking advantage of clinical data management to ensure trials have the most reliable, highest-quality data to track results in real-time.

Agentforce for Life Sciences is an agentic AI solution built on a deeply unified platform. It enables pharma and medtech organizations to transform clinical, medical, and commercial engagement at scale with AI agents designed to address the unique needs of the life sciences industry. It easily integrates unstructured and structured health data across multiple health data sources and wearables for comprehensive patient insights that can lead to faster drug development and more tailored patient care.

With Agentforce for Life Sciences, you can quickly create any agent from scratch using a wealth of healthcare and life sciences data, processes, and functionality that takes advantage of Einstein Trust Layer for data privacy and security along with industry specific regulatory compliance like HIPAA. Agentforce can help speed up clinical trials and prevent delays in trial setup and recruitment with AI-powered patient enrollment, study analysis, site selection and activation. It can also automate manual tasks and improve patient services productivity by helping human service representatives verify benefits, monitor patient adherence, and improve overall patient outcomes.

Disclaimer: Salesforce pre-built Agentforce capabilities are constantly being enhanced based on customer feedback and may not reflect actual product details. Solutions may not be currently available, delivered on time or at all. Customers should make purchase decisions based upon solutions that are currently available.