This inventor holds 1 USPTO granted patent and 1 published patent application. 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: Innovations by Santiago Akle Serrano
Introduction
Santiago Akle Serrano is an accomplished inventor based in San Francisco, CA. He has made significant contributions to the field of tissue microarray sampling protocols. His innovative approach combines machine learning with biological sampling techniques, showcasing his expertise in both technology and healthcare.
Latest Patents
Santiago holds a patent for "Systems and methods for determining tissue microarray sampling protocols." This patent outlines a method for determining a sampling protocol for tissue cores used in tissue microarrays. The process involves obtaining an initial plurality of tissue cores from an image of a tissue slide, selecting subsets based on candidate sampling protocols, and evaluating these protocols using a machine learning model. This innovative method enhances the accuracy and efficiency of tissue sampling in medical research.
Career Highlights
Santiago is currently employed at Insitro, Inc., a company that focuses on using machine learning to accelerate drug discovery and development. His work at Insitro reflects his commitment to integrating advanced technology with healthcare solutions. With a patent portfolio that includes 1 patent, he continues to push the boundaries of innovation in his field.
Collaborations
Santiago collaborates with talented professionals such as Adelaide Woicik and Christopher Probert. These partnerships enhance the research and development efforts at Insitro, fostering a collaborative environment that drives innovation.
Conclusion
Santiago Akle Serrano exemplifies the spirit of innovation in the healthcare technology sector. His contributions to tissue microarray sampling protocols demonstrate the potential of combining machine learning with medical research. Through his work, he continues to make a significant impact in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile