Unleashing the potential of AI in life sciences
- Introduction
- Advantages of AI in the lab
- Top challenges with lab AI
- What to look for
- Scientific AI toolkit
Artificial intelligence has game-changing potential across industries, and life sciences is no exception. In the drug discovery space, lab AI has the potential to free the scientist from the burden of manual processes, illuminate new possibilities in discovery, and scale scientific efforts by transforming the scientist into a powerful conductor—as opposed to an individual musician.
But to realize the transformative potential of AI, scientists require models that seamlessly adapt to the demands of their science and integrate frictionlessly into their daily workflows. In other words, they need science-aware AI.
Keep reading to learn more about the power of artificial intelligence in life sciences, discover what makes AI science-aware, explore scientific use cases, and learn how Sapio Sciences is enabling a new era of AI-enabled scientific productivity and progress.
30%
The market for drug discovery AI and drug development AI is expected to grow by over 30% through 2032.1
66.4%
66.4% of clinical lab professionals expect to use AI, if they aren’t already.2
$7B
Deloitte estimates that biopharmaceutical companies could capture up to $7 billion in value by leveraging AI.3
Looking for practical insights on AI in scientific discovery?
The advantages of AI in the lab
Scientific AI can unleash new possibilities in scientific discovery, but here are some key advantages scientists can realize by harnessing AI effectively in their lab.
Lab artificial intelligence can help scientists manage, review, and standardize their data at scale, supporting richer visualization and analysis.
AI has the potential automate routine tasks, like setting up experiments and searching for data points, so that scientists can work more efficiently and effectively.
With AI, scientists can use advanced algorithms to sift through massive amounts of data, quickly identifying the most promising research candidates.
With AI-enabled automation and efficiency, labs can not only accelerate productivity, but also more effectively track supplies and expiries to reduce material costs.
An AI-powered platform can enable scientists from experiment to workflow, providing contextualized, real-time insight to support stronger decision making and continuous improvement.
Top challenges associated with lab AI
It’s clear that scientific AI can transform discovery workflows, but in order to realize its potential, scientific organizations must first overcome some of the barriers to adoption. Here are some of the top obstacles modern labs face, and how a unified platform for lab artificial intelligence addresses them.
Regulatory concerns
The pharmaceutical industry is highly regulated, and some organizations have concerns about AI’s impact on compliance.
The right platform will be validated for GXP compliance and known for its data protection measures, ensuring that the use of AI aligns with stringent regulatory standards.
Resistance to change
As an inherently risk-adverse industry, pharmaceutical and biotech organizations can be hesitant to adopt new technologies such as AI until they are fully vetted and proven.
By embedding science-aware AI directly into core lab informatics solutions like the LIMS and ELN, a proper platform facilitates a smooth transition to the use of lab AI.
Lack of integration
Many pharmaceutical organizations depend on legacy systems in their work and AI may not readily integrate into their existing workflows.
A true lab platform consolidates disparate systems and data to seamlessly integrate AI into existing workflows, without extensive system overhauls.
Uncertainty around ROI
As with any new technology, pharmaceutical organizations may be deterred by an upfront investment if they are uncertain about AI’s long-term value.
A science-aware solution leverages AI to enhance lab efficiency, reduce manual errors, and accelerate discovery workflows over time, continually adding value in the long term.
Make your lab a lab of the future. Discover Sapio ELaiN.
At Sapio, we are committed to making life easier for scientists and continue to chart new terrain in the use of AI to accelerate science. That’s why we developed ELaiN, an AI-powered, chat-based scientific assistant that is built directly into our LIMS and ELN.
ELaiN tackles common challenges in drug development and functions as an integrated part of our platform. As a result, scientists can start realizing the value of AI immediately, without disrupting their existing workflows. Let’s take a closer look at some of what ELaiN can do.
Prompt to experiment
Setting up new experiments can be tedious and time-consuming . With ELaiN, simply describe what you’re looking to achieve in plain English and see the experiment come to life right before your eyes.
Search and analyze data
Today’s labs generate massive amounts of data, but the ability to effectively find and contextualize this data is essential to garnering meaningful insight. Use ELaiN to find what you’re looking for, with full scientific context, and analyze that data in real-time.
Track supplies
Blind spots around supplies and expiries can add up to significant costs for today’s labs. With Sapio’s scientific AI, lab professionals can quickly get a complete picture of stock on hand, predict how much will be needed, and avoid overspending on supplies.
Configure rapidly
Scientists need the ability to configure their systems and workflows at the speed of modern science—which means no IT support tickets. With ELaiN, scientists can quickly describe what they need to achieve and allow the platform to generate code in seconds.
Ready to see ELaiN in action?
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Frequently asked questions on lab AI
AI has changed the way people work, and its effects are concentrated among knowledge workers. In science, AI will accelerate progress, improve efficiency and enable the scientist to spend their time on the highest value scientific tasks.
In the near-term, AI will eliminate or significantly reduce the burden of the scientist’s most time-consuming tasks. It will redefine the role of the ELN. It will rapidly unify and analyze scientific data. It will identify the most promising candidates for new therapeutics.
AI will act as a powerful companion to the scientist at every stage of the scientific process. And it will do this right inside the solutions scientists use today. Does your platform set your lab up for success in the use of AI now and in the future?
Science-aware AI is designed and trained specifically to understand and align with the unique demands and workflows of scientific environments. Unlike standard or generalist AI tools, science-aware AI is trained to address the complexities of lab processes and the nuances of scientific data.
Unlike other scientific AI tools, ELaiN is a powerful collaborator. It is trained to understand scientists’ specific needs, and it allows them to ask simple questions in natural language to receive accurate, detailed, and easy-to-follow results.
Furthermore, scientists can easily access ELaiN within their core solution, without the need for additional tools or complex integrations.
ELaiN is a versatile AI assistant designed to simplify and enhance lab operations. Here are a few of the ways scientists can use ELaiN:
Experiment setup: Create experiments quickly by describing your goals in plain language. ELaiN translates your input into actionable workflows.
Data search and analysis: Instantly find and analyze specific datasets, and ask questions of your results, with ELaiN providing full scientific context.
Inventory management: Track supplies, predict inventory needs, and manage expiries to optimize lab resources and reduce waste.
Workflow configuration: Configure workflows and systems rapidly without IT assistance, using natural language to generate configurations or request custom code for more complex requirements.
Decision support: Gain real-time insights and recommendations based on your lab’s data to support rapid and informed decision-making.
And that’s not all ELaiN can do. ELaiN raises the standard for lab productivity and forever changes the way scientists interact with their ELN, LIMS, and scientific data. What could your lab do with ELaiN?
ELaiN is built directly into Sapio’s GXP-validated platform, which adheres to industry standards for Good Manufacturing Practice (GMP), Good Laboratory Practice (GLP), and Good Clinical Practice (GCP). This ensures that the use of AI aligns with stringent compliance and data integrity requirements across life sciences and other highly regulated industries.
ELaiN also leverages robust data protection measures, including secure storage and audit trails, to ensure that sensitive information remains safe and traceable. By embedding AI into a validated, compliant framework, ELaiN allows labs to confidently adopt cutting-edge technology without the risk.