Clinical Infertility Assessment Using Gene Expression Profiling

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Solution Overview

Problem

Current assisted reproductive technologies, such as in vitro fertilization (IVF), have suboptimal success rates due to implantation failure and high early pregnancy loss, leading to significant financial and psychological burdens for patients, necessitating a method to assess the likelihood of IVF success before treatment.

Innovation Solution

Development of methods and systems to assess clinical infertility by evaluating preselected patient variables, determining the probability of live birth, and optimizing embryo transfer strategies using algorithms and gene expression profiling to predict successful IVF outcomes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If IVF treatment is performed, then pregnancy may be achieved, but success rate is low with high early pregnancy loss

Engineering Contradiction:
ImproveIVF success rateVSAvoidearly pregnancy loss
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The patent applies preliminary action by measuring gene expression profiles of embryos before transfer to predict implantation success. This advance assessment allows selection of embryos with higher likelihood of successful implantation, thereby reducing early pregnancy loss and improving overall IVF success rates.

Inventive Principle:
Principle #10Preliminary action

2Reliability

If multiple IVF cycles are attempted, then pregnancy probability increases, but financial and psychological burden increases

Engineering Contradiction:
Improvepregnancy achievement probabilityVSAvoidfinancial cost
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

The patent enables preliminary assessment of embryo implantation potential through gene expression profiling before transfer. This allows patients and clinicians to make informed decisions about continuing IVF cycles, potentially avoiding unnecessary treatments and reducing cumulative financial costs while maintaining reasonable pregnancy achievement probability.

Inventive Principle:
Principle #10Preliminary action

3Reliability

If embryo transfer is performed, then pregnancy may result, but implantation failure causes loss

Engineering Contradiction:
Improveimplantation successVSAvoidimplantation potential prediction
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The patent replaces mechanical/visual embryo assessment methods with molecular biology techniques by measuring gene expression profiles. This substitution provides more precise prediction of implantation potential, enabling selection of embryos with higher success rates and reducing implantation failure.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

4Productivity

If surgical procedures are performed for egg collection and embryo implantation, then IVF treatment can be completed, but patient trauma increases

Engineering Contradiction:
ImproveIVF treatment completionVSAvoidpatient trauma
Core Design Contradiction:
ProductivityVSObject-affected harmful factors

Solution Approach 1:

The patent applies preliminary action by assessing embryo quality through gene expression profiling before surgical implantation. This advance evaluation increases the likelihood of successful pregnancy establishment, potentially reducing the number of surgical procedures and associated patient trauma required to achieve pregnancy.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS10438686B2Methods and systems for assessment of clinical infertility
Publication Date: 2019.10.08 THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIV
  • US10438686B2 patent drawing
  • US10438686B2 patent drawing
  • US10438686B2 patent drawing

AI summary

Methods and computer-based systems for facilitating assessment of clinical infertility are provided. The methods and systems can be implemented to, for example, facilitate assessment of a subject for an in vitro fertilization treatment cycle, including determining probability of a live birth event. The methods and systems can be implemented to, for example, facilitate a determination of success implantation of embryos, selection of an optimal number of embryos to transfer, and determination of success in subsequent in vitro fertilization treatment cycles following an unsuccessful treatment cycle.