Glendor PHI Sanitizer, AI Startup Cleanses Medical Data for Privacy and Research

glendor.com

About the Guest(s):

Julia Komissarchik is the CEO and co-founder of Glendor Incorporated, a company dedicated to addressing the challenges of protecting patient privacy while enabling the sharing and aggregation of multimodal medical data for research and AI model training. With over 20 years of experience in AI, including areas such as machine learning, deep learning, OCR, and speech recognition, Julia holds degrees from UC Berkeley in Mathematics and Cornell University. Additionally, she has authored 10 U.S. patents in the field of AI.

Episode Summary:

In this episode of The Chris Voss Show, host Chris Voss sits down with Julia, the CEO and co-founder of Glendor Incorporated. The discussion delves into the intricate world of AI, patient privacy, and healthcare data security. Julia shares her insights on how the growing field of artificial intelligence intersects with the medical sector, emphasizing the importance of protecting sensitive medical data while facilitating its use for research and AI model advancements. As the conversation unfolds, Julia talks about her experience in Silicon Valley and how she perceives Utah's burgeoning tech scene, known as Silicon Slopes, and its potential in fostering innovative startups like Glendor.

Julia elaborates on the critical issue of healthcare data privacy and the role of technology in safeguarding patient information. She discusses how Glendor’s AI technology functions like a "washing machine," cleansing medical records from personally identifiable information to make them safe for data sharing and research use. The conversation touches upon the pressing need for diverse and comprehensive datasets to ensure AI models in healthcare are effective and applicable beyond a few select regions. Julia highlights the significance of a collective effort to balance privacy concerns with the necessity of data contribution for medical advancements. The episode closes with a call to action for increased awareness and participation in the conversation about AI and data privacy.

Key Takeaways:

Glendor's innovative AI technology enables secure sharing and utilization of medical data by anonymizing sensitive information.

Medical records are highly valuable on the dark web due to their comprehensive nature and lifelong relevance.

A significant portion of AI models in healthcare rely on data from limited geographic regions, which underscores the importance of broader data contribution.

Julia sees great potential in Utah’s tech ecosystem, comparing its energy and innovation spirit to Silicon Valley of the 1990s.

Participating in safeguarding and sharing medical data responsibly can lead to advancements in AI applications in healthcare.

Notable Quotes:

"Our focus is protecting patient's privacy while empowering data sharing. That's what we do."

"Once the data is removed for most of, let's say, x-rays, then it'll be safe to share this data with the AI company so that it can be used for training."

"If we don't start to contribute our data, then we'll be in deep trouble as well."

"Please think. Spend time thinking. And thinking about AI, thinking about privacy, and just making it a conscious choice."

"We as humans need to think through this. And it's going by us so fast that we don't have time, but we should take time."