High Accuracy Vision System with Enhanced AI algorithm for IVF ICSI Process

具有增强型 AI 算法的高精度视觉系统，适用于 IVF ICSI 流程

• 批准号: 10079725
• 金额: $ 17.92万
• 依托单位: MYMA MEDICAL LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10079725
• 关键词: Accuracy; Vision; System; Enhanced; AI

Highly accurate vision camera system with enhanced AI algorithm to assist in automated ICSI process for IVF treatment.Infertility affects 3.5m people in the UK, 186m worldwide and is the most common healthcare condition for 30-40-year-olds, with 106 IVF clinics in the UK and over 5000 worldwide. It is estimated that approximately 10% of women globally are affected, with ~14% of couples in their reproductive age facing challenges. This is expected to rise due to individuals delaying having children and low sperm counts in men becoming more common. Individuals with fertility issues are also at a higher risk of anxiety and depression.Despite the huge problem, the most common and effective type of assisted reproductive technology (ART); in-vitro fertilisation (IVF) has seen no significant improvements in 25+ years. During the current process embryologists select the best sperm available and fertilise eggs by manual injection via microscope-mounted electromechanical micromanipulator using joysticks. This process depends on individual skill, and can result in poor control/accuracy during injection, procedural inconsistency, egg damage and inevitable human error. This leads to low success rates (~30%) and patients requiring several cycles/procedures before conception@£10k-12K per-cycle. This issue is worsened by a lack of highly-skilled embryologists resulting in long waiting lists and poor pregnancy rates. New technologies are essential to increase fertilisation success rates, increase profitability for clinics and cost-effectiveness for the NHS.In collaboration with University of Birmingham and £600k grant funding (IUK, EPSRC, MRC), Myma Medical has designed AutoICSI; a first-of-its-kind automated ICSI system. AutoICSI is currently at TRL4, proof of concept has demonstrated a reduction in egg damage (upto 10%), human error and improved inconsistencies between embryologists, leading to a 10% increase in fertilisation success rate compared with current IVF.The high accuracy vision camera system with enhanced AI algorithm will significantly improve performance of AutoICSI system by making it easier for the micro-pipette to track, immobilise and pick up the most conforming sperm for injection into the egg.

高精度的视觉摄像系统，具有增强的AI算法，可协助IVF治疗的自动化ICSI过程。不孕症影响着英国350万人，全球1.86亿人，是30-40岁人群中最常见的医疗条件，英国有106家IVF诊所，全球超过5000家。据估计，全球约有10%的妇女受到影响，约14%的育龄夫妇面临挑战。预计这一数字将上升，因为人们推迟生育孩子，男性精子数量低变得越来越普遍。有生育问题的人也有更高的焦虑和抑郁风险。尽管存在巨大的问题，但最常见和最有效的辅助生殖技术（ART）;体外受精（IVF）在25年多的时间里没有显着改善。在目前的过程中，胚胎学家选择最好的精子，并通过显微镜安装的机电显微操作器使用螺旋桨手动注射受精卵。这个过程取决于个人技能，可能导致注射过程中控制/准确性差，程序不一致，鸡蛋损坏和不可避免的人为错误。这导致成功率低（约30%），患者在受孕前需要几个周期/程序，每个周期10 k-12 k英镑。由于缺乏高技能的胚胎学家，导致等待名单过长和怀孕率低，这一问题更加恶化。新技术对于提高受精成功率、提高诊所盈利能力和NHS的成本效益至关重要。Myma Medical与伯明翰大学合作，并获得60万英镑的赠款资金（IUK、EPSRC、MRC），设计了AutoICSI;这是首个自动化ICSI系统。AutoICSI目前处于TRL 4，概念验证已证明卵子损伤减少（高达10%），人为错误和胚胎学家之间的不一致性改善，导致受精成功率比目前的IVF提高10%。具有增强AI算法的高精度视觉摄像系统将显着提高AutoICSI系统的性能，使微量移液器更容易跟踪，固定并挑选最符合要求的精子注入卵子。