Shahram Tahvilian

Title: Shahram Tahvilian and Machine-Learning-Based FISH Analysis

Introduction

Shahram Tahvilian is an inventor based in Tarzana, California, and is associated with Lunglife AI, Inc. His patent work applies machine learning to fluorescence in-situ hybridization (FISH) analysis of microscopic blood-cell images.

Latest Patents

Tahvilian is named on one patent: “Systems and Methods for Designing Accurate Fluorescence In-Situ Hybridization Probe Detection on Microscopic Blood Cell Images Using Machine Learning.” The invention describes processor-executable instructions for analyzing image sets of a sample treated with FISH probes. Images in each set are captured at different focal lengths, and the probes can selectively bind to distinct locations on chromosomal DNA.

The system identifies cell nuclei and applies a convolutional neural network to each image set to determine probe indications. It then uses the analysis to identify whether the sample contains circulating tumor cells. This approach combines microscopy and machine learning to support probe detection in blood-cell images. Tahvilian’s listed portfolio includes 1 patent.

Career Highlights

Tahvilian’s documented patent contribution focuses on computational analysis of FISH microscopy images. The invention’s described workflow brings together image processing, neural-network classification, and the identification of circulating tumor cells.

Collaborations

Tahvilian is associated with Lunglife AI, Inc. His listed coworkers include Lara Baden and Daniel Gramajo-Leventon.

Conclusion

Shahram Tahvilian’s patent work centers on using machine learning to improve FISH probe detection and support the identification of circulating tumor cells in microscopic blood-cell images.