AI Use Cases in Life Sciences

Artificial intelligence (AI) is making a big difference in healthcare and life sciences, fueling the creation of new medicines, improved patient experiences, and reducing costs while improving operations (accounting, HR, etc.).

For life science industry leaders, AI is a game-changer, helping accelerate and improve clinical trials, optimize supply chains, drive compliance, and get products to market faster. AI isn’t just about automating processes—it’s about unifying data, seeing what’s happening in your business, and making smarter choices.

By using clean data and integrated systems, AI helps companies work smarter and thereby be able to devote more time and energy to the next idea that will improve people’s health and lives.

This article looks at some of the top AI use cases in life sciences and how Argano can help turn them into realities.

1. Drug discovery and development

AI is speeding up how we approach medicine discovery. It can analyze reams of information to figure out which compounds might best address human health — e.g., data on genes, proteins, and chemicals — in seconds, a process that could take weeks when done manually.

Leaving initial analysis to AI can deliver time and cost-savings and help get a drug to market more quickly. More importantly, it can help get a product to market more safely and completely. AI can be used to predict how well a drug will work and how it may interact with the body, and can even help find new indicators, like specific signs of a disease, to make better medicines.

AI also makes it easier to accurately and fully test drugs. For example, it can run virtual tests to see how a drug might work before trying it in real life, which helps cut down on mistakes and make it easier for scientists move forward with viable treatments. By connecting data from different places, like lab results and patient records, AI helps make drug discovery smoother and quicker.

Argano helps this process by building systems that pull the data together that enable AI to do its job. Through proven data architecture practices and platforms, Argano helps build organized, easy-to-use systems that let companies leverage AI to drive discovery and support compliance.

2. Clinical trial management

Clinical trials are where the rubber hits the road, when an idea becomes closer to a reality, and often the last step before commercialization. Naturally, clinical tests are highly controlled and often complicated: recruiting and retaining enough eligible patients; managing vast amounts of data;  FDA regulations.

AI can help simplify and streamline the process and create more effective clinical trials. For example, tools like natural language processing (NLP) can read medical records to find patients who fit the trial. AI automatically examines data as it comes in, spotting problems right away to keep everything accurate.

Argano builds the systems that can connect trial data, empowering all involved to have the accurate information they need more quickly and securely. Our solutions focus on compliance, helping businesses adhere to strict regulations, and secure system and data access. In addition to keeping data organized and secure, Argano helps make it more understandable and actionable through data visualization tools. Because in clinical trials, accurate and usable data is foundational.

3. Personalized medicine

Perhaps one of the most impactful areas in which AI is being used by life science companies is in the research and creation of personalized medicine—treatments specifically tailored to a patient’s unique needs. Herein, AI is used to rapidly analyze data like DNA, health records, and even aspects of a patient’s lifestyle. It can predict how someone may respond to a medicine or spots risks for side effects, thereby improving patient outcomes and better ensuring patient safety. It also supports companion diagnostics to ensure treatments work for specific patients, meeting the demand for customized care.

Through AI-enabled systems connecting data from hospitals and labs, Argano equips businesses with the platforms required to connect and act on the data that drives personalized medicine.

4. Pharma regulatory compliance

Like many industries, life sciences companies are bound by industry and governmental regulations designed to ensure therapeutics and devices are safe. And this means audits. AI can help keep a life science company “audit-ready” by accurately and automatically filling out paperwork, watching for new rules, and checking for risks in past data.

Argano help companies leverage AI and industry-specific technologies to help with compliance. Our solutions include features such as centrally administered permissions (keeping data and systems safe) as well as tools to automatically create audit trails (records that capture and store every change made in a system, clinical trial, or other process). These tools help businesses easily prove (when needed) that they’re following the rules. Our goal is streamlining and automating compliance requirements and tasks, thereby freeing businesses to focus on moving forward.

Quality control in manufacturing

In many functional areas, healthcare is often like the manufacturing industry where quality control over, for example, medicine production lines and distribution systems must be running at peak performance, 24/7.

AI offers massive opportunities for improvement in both production and quality control using smart cameras that catch what humans might miss. It can also enable predictive maintenance  of manufacturing equipment so companies can get ahead of repairs, avoiding delays and meeting strict rules like Good Manufacturing Practices (GMP).

Argano’s experience and expertise in AI in manufacturing and in driving digital transformation in manufacturing carries over easily into the life science as the need for connected data from machines, sensors, and ERP systems into one clear view is universal. With secure, organized data, our systems help manufacturers in life science stay compliant and deliver high-quality medicines to patients efficiently.

6. Supply chain intelligence

AI use cases in life sciences transform healthcare supply chains by predicting demand, managing inventory, and ensuring medicines like vaccines stay cold during shipping. The efficacy of AI in the supply chain cannot be overstated. It plays a critical role in delivering the data that enables more accurate forecasts, preventing stock shortages or waste.

Argano’s data architecture connects all supply chain data into one system, enabling operations to flow smoothly. Our platforms organize and secure the data required by AI to provide clear insights for better decisions, like ordering materials or avoiding delays. By building industry-specific supply chain logistics tools, we help life sciences companies save money, reduce waste, and get products to patients faster.

7. Commercialization and post-market surveillance

After a medicine hits the market, the work is by no means over. Its makers must constantly track its use, feedback from providers and patients, and be prepared to pivot based on market needs, changing FDA regulations, and other external factors. It’s all part of product lifecycle management in life sciences. This means listening to patients, doctors, and others to spot problems or improve products. AI applications in life sciences help by looking at data from patient reviews, side effect reports, or even social media. It can find patterns, like if a medicine causes issues, and help companies pivot fast.

Argano builds systems that pull all this data together, creating feedback loops that connect patients, doctors, and companies to provide best outcomes. Integrated platforms combine data from sales, customer service, and health records, so AI can give clear insights. This helps companies improve their products and market them better, while also keeping patients safe.

What leaders need to enable AI at scale

To make AI work across a whole company, life sciences leaders need a few key things:

• Clean, organized Data: AI use cases in life sciences need good data to work well. If data is inconsistent or housed in disparate systems, AI can’t do its job. Argano helps with data architecture to make sure data is clean and ready for AI to use across research, production, and sales.
• Rules for safety and clarity: Industry regulations mean companies need systems to track data and show they are following the law. Our solutions ensure compliance using clear records and processes that make AI safe and trustworthy.
• Systems that work together: AI works best when all parts of a company—like research, manufacturing, and sales—share data easily. We build interoperable systems (such as ERP Connect for Life Sciences) that connect everything, so AI can help every part of the business.
• Trained teams: AI is only helpful if people know how to use it. Argano offers custom training to help teams better understand and use AI and other technologies.

These pieces work together to let companies use AI everywhere, from finding new drugs to delivering them to patients. By focusing on data, systems, and people, Argano helps make AI a big win for life sciences.

How we help life sciences companies use AI

With a focus on governance, Argano helps companies leverage AI strategically and safely. We create the “guardrails” that free up your team to use AI for data capture and dissemination, to automate critical workflows, and help your stay compliant.

We help life sciences companies accelerate research, development, and commercialization through:

1. Access to specialized expertise and talent

• Bridging the knowledge gap: AI development requires a unique blend of expertise in data science, machine learning, and software engineering, as well as a deep understanding of biological and clinical data. Most life science companies, while rich in scientific talent, may not have this specialized AI talent in-house. Argano provides immediate access to skilled professionals who can design, build, and deploy AI models.
• Staying current with technology: The AI landscape is evolving at a rapid pace, and Argano connects businesses to the latest AI advancements, such as new algorithms, frameworks, and tools. This ensures the life science company is using the most effective and up-to-date technology without having to invest in continuous training and R&D.

2. Overcoming data and infrastructure challenges

• Managing complex data: Life science data — including clinical trial data — is massive, complex, and often unstructured. Argano provides the necessary infrastructure and expertise to clean, integrate, and manage these datasets, making them usable for AI applications.
• Scalable computing power: AI models, especially for tasks like drug discovery, require immense resources, often beyond the reach and budget of most life science companies. Argano provides businesses with access to powerful cloud computing platforms and specialized hardware, which would be prohibitively expensive for a single life science company to acquire and maintain on its own.

3. Accelerating innovation and time-to-market

• Accelerating drug discovery: AI can dramatically reduce the time it takes to identify promising drug candidates, and Argano can provide the AI platforms and solutions that allow life science companies to move through the R&D process much faster, saving years of work and potentially billions of dollars.
• Optimizing clinical trials: Argano helps businesses leverage AI to streamline clinical trials by identifying ideal patient populations for recruitment, analyzing real-time patient data, and predicting trial outcomes.

4. Navigating regulatory and ethical issues

• Ensuring compliance: The use of AI in life sciences comes with strict regulatory requirements and ethical considerations, particularly concerning patient data privacy and algorithmic bias. Argano has expertise in building AI systems that are transparent, secure, and compliant with regulations like GDPR and HIPAA.
• Establishing a governance framework: We help businesses establish a clear governance model and risk management strategy for AI-enabled projects, ensuring accountability and building trust in the technology.

5. Cost-effectiveness and focus on core business

• Reduced capital investment: Partnering with Argano eliminates the need for significant upfront investment in hardware, software licenses, and hiring a full AI team, allowing businesses to operate on a more flexible, operational expenditure model.
• Focus on core competencies: By outsourcing AI development to Argano, life science companies can concentrate on what they do best: scientific research, drug development, and patient care, rather than on the complexities of building a technology infrastructure from scratch.

Ready to use AI to improve your company? Contact us to learn how we can build systems to make AI work for you, driving innovation and growth.