Basecamp's Phil Lorenz on Combining AI With Biodiversity Data - Ep. 223
May 15, 2024
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Phil Lorenz, CTO at Basecamp Research, discusses using AI with biodiversity data for medicine and conservation. Topics include deep learning for protein structure prediction, gene editing, real-time DNA monitoring, and ethical data governance in collaboration with nature parks worldwide.
Basecamp Research leverages AI and biodiversity data to advance medicine and environmental conservation.
Ethical data governance and diverse biological data collection drive innovation in AI applications at Basecamp Research.
Deep dives
Basecamp Research - Leveraging Unprecedented Biological Data for Deep Learning
Basecamp Research focuses on leveraging unprecedented knowledge of the natural world to enhance food, medicines, and products for the planet. By collecting diverse biological data from nature parks across continents, including the Antarctic and rainforests, they have established a vast dataset with over six billion relationships. These efforts have led to the creation of Base Fold, a deep learning tool that is six times more accurate than existing models due to the extensive and diverse data available.
Data Collection and Annotation Process at Basecamp
At Basecamp, the data collection process is overseen to ensure high-quality annotations and organization of the extensive biological data. With a team that excels in genome sequencing and data engineering, they put significant effort into data annotation and structuring. This meticulous approach enables Basecamp to effectively apply deep learning to various AI applications in the life sciences.
Partnerships and Applications in Therapeutics and Biotech
Basecamp collaborates with partners in academia and the industry to develop better medicines and foods utilizing the vast biological data at their disposal. These partnerships involve tasks like identifying enzymes for specific functions or generating gene editing systems for clinical applications. Basecamp's data advantage allows them to offer innovative solutions that can be licensed and used for various downstream applications.
Fostering Cooperation through Unique Data Governance Approaches
One distinct aspect of Basecamp's work lies in their data governance model, which includes revenue sharing agreements with stakeholders like nature parks. This approach ensures that benefits are shared when commercial success is achieved, motivating a more extensive and equitable data supply chain. By adhering to protocols like the Nagoya Protocol, Basecamp fosters collaboration and fair compensation for data providers, contributing to a more sustainable and inclusive research ecosystem.
Basecamp Research is on a mission to capture the vastness of life on Earth at an unprecedented scale. Phil Lorenz, chief technology officer at Basecamp Research, discusses using AI and biodiversity data to advance fields like medicine and environmental conservation with host Noah Kravitz in this AI Podcast episode recorded live at the NVIDIA GTC global AI conference. Lorenz explains Basecamp’s systematic collection of biodiversity data in partnership with nature parks worldwide and its use of deep learning to analyze and apply it for use cases such as protein structure prediction and gene editing. He also emphasizes the importance of ethical data governance and touches on technological advancements that will help drive the future of AI in biology.
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