This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Insitro, Inc.. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Lorn Kategaya: Innovator in Disease Modeling through Microscopy Image Analysis
Introduction
Lorn Kategaya is a prominent inventor based in Oakland, CA (US). He has made significant contributions to the field of disease modeling through his innovative work in microscopy image analysis. His research focuses on developing machine learning models that can effectively distinguish between healthy and diseased samples.
Latest Patents
Lorn Kategaya holds a patent for "Microscopy image analyses for disease modeling." This patent encompasses systems and non-transitory computer-readable media designed for analyzing microscopy images. The technology captures images from cells exhibiting various exposure response phenotypes (ERPs) and utilizes them to train machine learning models. The trained models can accurately differentiate between microscopy images from healthy and diseased samples, showcasing the potential for advancements in medical diagnostics.
Career Highlights
Kategaya is currently employed at Insitro, Inc., a company that focuses on leveraging machine learning and data-driven approaches to accelerate drug discovery and development. His work at Insitro emphasizes the integration of advanced imaging techniques with artificial intelligence to enhance the understanding of diseases.
Collaborations
Some of Lorn Kategaya's notable coworkers include Daphne Koller and Ajamete Kaykas. Their collaborative efforts contribute to the innovative environment at Insitro, fostering advancements in the intersection of technology and healthcare.
Conclusion
Lorn Kategaya's work in microscopy image analysis represents a significant step forward in disease modeling and diagnostics. His innovative approach and contributions to the field highlight the importance of integrating technology with medical research.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile