Software was eating the world.

Vertical SaaS was eating software.

Now, LLM agents are eating Vertical SaaS.

Recently, Jenson Huang, the CEO of Nvidia, discussed the link between biobanking and artificial intelligence. He thinks we are entering a new and exciting time.

His comments highlight the growing importance of biobanking in today's world.

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What are the implications of Biobanking?

Biobanking means gathering and keeping biological samples for research. When you mix this with AI, it creates new ways to learn about health and diseases.

This combined approach will change how we do medical research and care for patients. It is an exciting time to be part of this fast-changing field.

In particular, Huang emphasized that we are just at the beginning of what he calls the “century of biology.” This means that as we advance further into this century, biological sciences will be pivotal in driving innovation and breakthroughs across various fields.

Human biospecimens, or biological samples taken from humans, are becoming increasingly vital for significant progress in biomedical research. The implications stretch far and wide, impacting everything from research initiatives to clinical care practices.

The trend of personal banking of cells is growing. This is important for fertility treatments and regenerative medicine. It shows how this field is becoming more useful in daily life. This makes it relevant for both researchers and individuals on their health journeys.

However biobanking sample management is still old school. Softwares are rigid - built for one workflow at a time.

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What is a LIMS tailored towards CLIA labs?

Scispot is the world's first modern alt-LIMS that is building its software tailored towards the CLIA lab.

When we talk about CLIA labs, which are laboratories that meet specific standards set by the Clinical Laboratory Improvement Amendments, there are a number of challenges that come with rigid systems.

These labs are important for testing and diagnosing many medical conditions. However, the systems they use can be very rigid and inflexible. For starters, many of these systems don't allow for much customization, making it hard for the labs to adapt to the evolving needs of the medical field or the specific requirements of their patients.

Additionally, the rigid nature of these systems can lead to inefficiencies. For example, if a lab needs to update a testing protocol or add a new test, they may face a long process.

This process can take weeks or even months. This slows down the lab's ability to respond to new research and changing healthcare trends. It also affects patient care because timely and accurate testing is essential for effective treatment.

Moreover, when it comes to data management, rigid systems can create bottlenecks. Labs often need to analyze large amounts of data quickly and accurately.

If their systems are not flexible or user-friendly, it can frustrate lab staff. They may spend too much time fighting the system. This takes away from what really matters—giving the best care to their patients.

Finally, there's also the issue of collaboration with other healthcare entities. In a perfect world, a CLIA lab would easily share data and insights with hospitals, clinics, and research centers. However, strict systems can block this type of teamwork. This makes it hard for labs to communicate well with others in healthcare.

CLIA labs are important for medical testing and research. However, their strict systems can create big challenges. These challenges can make it hard for them to provide high-quality care.

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Why do we need a new LIMS for CLIA labs?

Current legacy systems are not built with AI in mind. Molecular diagnostics AI is going to go mainstream with lab agents.

Let’s talk about how Scispot is changing the game. Scispot simplifies the whole process, starting from when someone makes an order to when someone registers samples. You can even create working samples and write reports automatically using Natural Language.

What’s even cooler is Scispot’s use of Natural Language Processing (NLP). This smart tool helps scientists track each sample easily. It prevents data overload and too many clicks.

You can forget about those boring tasks! Think of Scispot as your helpful partner that does all the hard work for you.

We've been working with a lot of biobanking labs. Labs centered around samples are shaking up the bio economy.

The focus is on the future of biobanks. It highlights the important connection between data and technology in this area.

We are just starting to explore a century full of biology. Human biospecimens are becoming very important for biomedical research. This includes research and clinical care. It also covers banking personal cells for fertility and regenerative medicine.

Biological data management will shift from pure data management to ai based agentic workflows. As a result, precision medicine will advance for CLIA labs.

Say bye to 100 clicks and 1000s customization for your CLIA lab workflows. Say hello to Scispot AI that automates your QC, and reporting. All of that using Natural Language, the language humans speak. 

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