Monday, March 4, 2024
Monday, March 4, 2024
HomeScienceExploring the possibilities of LLMs for neuroscience and biomedical research

Exploring the possibilities of LLMs for neuroscience and biomedical research

Significant progress has been made on large language models (LLMs) like ChatGPT in the last year..

Image credit: McGill University

The ability of these models to generate and understand human text sources (as well as other sequence data) has implications for people in a variety of spheres of human endeavor. In the study published in the journal NeuronNeuroscientists, like many other professionals, can benefit from collaboration with these powerful tools or risk being left behind.

The authors’ previous research demonstrated that certain prerequisites are met to create LLMs that can evaluate and interpret neuroscience data in a similar way to how ChatGPT interprets language. Numerous types of data can be used to create these AI models, including genetics, neuroimaging, single-cell genomics, and even handwritten clinical reports.

Under the conventional research model, a scientist gathers prior knowledge about a topic, formulates new theories, and conducts experiments to verify them. Because of the abundance of data, researchers often focus on a small area of ​​study, such as genetics or neuroimaging. But LLMs can absorb more neuroscience research than a single human being could.

The study’s researchers argue that eventually, LLMs with specialized knowledge in various fields of neuroscience could be used to interact with each other to close knowledge gaps within the field of neuroscience and discover realities that would be unattainable by humans. on your own.

For example, in the context of drug development, genetics-focused LLM and neuroimaging-focused LLM could be used to identify potential candidate molecules that stop neurodegeneration. These LLMs would be supervised by a neuroscientist who would also confirm the results.

Lead author Danilo Bzdok raises the possibility that scientists are sometimes unable to fully understand the mechanism underlying the biological processes these LLMs have identified.

We have to be open to the fact that certain things in the brain may be unknowable, or at least take a long time to understand. However, we can still generate insights from cutting-edge LLM and make clinical advances, even if we do not fully understand how they reach conclusions..

Danilo Bzdok, lead study author, Department of Biomedical Engineering, McGill University

According to Bzdok, for LLMs in neuroscience to reach their full potential, researchers would need to invest in more infrastructure for data processing and storage than many research organizations currently have. More importantly, it would require a cultural shift toward science that is much more data-driven and publishes studies that rely heavily on artificial intelligence and master’s degrees in prestigious journals with funding from government organizations.

Although the traditional paradigm of highly hypothesis-driven research remains essential and will not go away, according to Bzdok, it may be necessary to leverage new advances in LLM technologies to drive the development of the next wave of neurological treatments in situations where the previous model does not work. has proven to be so successful.

To quote John Naisbitt, today’s neuroscientists are “drowning in information but hungry for knowledge.” Our ability to generate biomolecular data is dwarfing our ability to gain insights from these systems. LLMs offer an answer to this problem. They may be able to extract, synergize, and synthesize knowledge from and across neuroscience domains, a task that may or may not exceed human understanding..

Danilo Bzdok, lead study author, Department of Biomedical Engineering, McGill University

Magazine reference

Bzdok, D., (2024) Big Data Science Opportunities of Language Models for Neuroscience and Biomedicine.


Source link
I Am digital marketing enthusiast with a passion for helping businesses thrive in the online world. With a strong foundation in SEO, social media marketing, and content creation, I'm committed to driving impactful growth through innovative strategies.


Please enter your comment!
Please enter your name here

Most Popular

Recent Comments