Methods and Systems for Determining Optimal Decision Time Related to Embryonic Implantation
Summary
USPTO granted patent US12591781B2 to Fairtility Ltd. covering AI and machine learning methods and systems for analyzing time-lapse images of developing embryos to predict embryo viability and determine optimal timing for in-vitro fertilization embryo transfer/implantation. The patent covers morpho-kinetic signature analysis from fertilization through blastulation stages. The patent includes 26 claims and is classified under CPC codes in the G16H health informatics range.
What changed
USPTO granted patent US12591781B2 to Fairtility Ltd. covering AI and machine learning methods for analyzing time-lapse images of developing embryos to determine optimal timing for IVF embryo transfer. The system uses morpho-kinetic signatures capturing embryo development from fertilization through blastulation, providing better prediction of embryo viability than static imaging. The patent has 26 claims and covers AI models (neural networks, ensemble methods), computer vision analysis, and systems for automated embryo assessment and implantation decision support.\n\nThis grant confers enforceable exclusive rights to Fairtility Ltd. for the technology in the US market. Competitors developing similar embryo viability AI tools may need to license this patent or design around it to avoid infringement. The patent could affect how healthcare providers and medical technology companies approach AI-based fertility solutions.
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Apr 18, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Methods and systems for determining optimal decision time related to embryonic implantation
Grant US12591781B2 Kind: B2 Mar 31, 2026
Assignee
FAIRTILITY LTD.
Inventors
Itay Erlich
Abstract
Methods and systems are for improvements to in-vitro fertilization using morpho-kinetic signatures. These improvements are achieved by analyzing a series of images of a developing embryo (e.g., time-lapse images) as opposed to a single static image. For example, due to the difficulty in identifying clear distinctions between morphological states based on static images, as well as the unpredictability of morpho-kinetic development of an embryo, the system analyzes the development of an embryo as a whole over a given time frame (e.g., fertilization to blastulation), which provides a better prediction of the viability of a given embryo. The analysis may take the form of a morpho-kinetic signature, which itself may be used to determine an optimal time to transfer and/or implant an embryo into a patient.
CPC Classifications
G16H 10/00 G16H 10/20 G16H 10/40 G16H 15/00 G16H 20/00 G16H 20/10 G16H 20/13 G16H 20/17 G16H 30/00 G16H 40/00 G16H 50/00 G16H 70/00 G16H 50/20 G06Q 50/22-24 G06N 3/084 G06N 7/01 G06N 3/045 G06V 20/698 G06V 10/82 G06V 20/69 G06F 18/24133 G06T 7/0012 G06T 2207/30044 A61B 17/435 A61D 19/00
Filing Date
2021-01-20
Application No.
17786878
Claims
26
Named provisions
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