Unlocking the Future of Life Sciences Research with AI, LLMs and Knowledge Graphs
In the world of life sciences, we’re standing at the edge of a transformative era. The last decade has seen machine learning carve out significant advancements, enabling experts to predict protein interactions and design molecules with unprecedented precision.
In the world of life sciences, we’re standing at the edge of a transformative era. The last decade has seen machine learning carve out significant advancements, enabling experts to predict protein interactions and design molecules with unprecedented precision. Yet, for too long, these advanced technologies have been exclusive to a select group of experts, leaving a vast number of scientists still reliant on traditional research methods.
For nearly a quarter of a century, scientists have been turning to resources like PubMed and Google Scholar for their knowledge acquisition and processing needs. They’ve been working in the same way, reading and analyzing manually, with technological innovation in this area lagging behind, causing stagnation in productivity and innovation.
But now, we are on the precipice of a monumental shift in scientific research. With the introduction of Large Language Models (LLMs), we are witnessing a revolution in how technology can empower the scientific community. LLMs have the unique advantage of being both powerful and accessible, bridging the gap between advanced technology and millions of scientists worldwide. They lower the learning threshold and allow for seamless interaction with existing knowledge graphs, democratizing access to AI-driven research.
However, to harness the full potential of LLMs and truly transform the scientific landscape, we need to focus on these four core capabilities:
Over the last five years, we have been working with enterprise pharma organizations, leveraging our deep knowledge in AI and science to transform research organizations.
We are thrilled to be at the forefront of this AI revolution. We are committed to our mission of making knowledge discoverable enabling scientists to deeply understand underlying disease biology and make breakthrough discoveries for complex diseases like Parkinson’s, lung cancer, and multiple sclerosis. The journey from bench research to the launch of life-changing therapies is set to become significantly more efficient, and we’re excited to be a part of it.
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