CLINICAL STUDIES
Our clinical studies are conducted with a stringent set of protocols and ethical standards to ensure insightful and unbiased results. Here are our ongoing clinical studies
ORA 全球性隨機對照臨床試驗（global RCT）
該研究旨在收集全球超過 800位受試者以進一步驗證 ORA的臨床效用。ORA透過血液中的miRNA生物標記能夠準確的計算備孕媽媽的最佳植入窗期，幫助醫生提供個人化胚胎植入的建議時間並
協助提高成功懷孕的機率。
狀態：進行中
研究對象:
- 過去兩年內有使用整倍體或低度鑲嵌 (< 30%) 胚胎植入卻失敗的經驗
- 女性年齡 28~45 歲
- 同意進行一個模擬療程進行非侵入性最佳受孕窗期檢測
- 預計進行冷凍胚胎解凍植入週期
- 至少有一顆以上整倍體或低度鑲嵌 (< 30%)的冷凍囊胚
研究架構:
- 控制組：未進行血液 miRNA 分析確定最佳植入窗期，在標準的時間進行冷凍胚胎植入。
- 實驗組：受試者進行血液 miRNA 分析，確認最佳著床時間後再進行個人化胚胎植入。
Opal 的臨床試驗
該試驗旨在評估 Opal 的臨床效用。 Opal 可評估卵子的品質，透過 Opal 的分析，篩選出最高受精率、囊胚形成率、植入率、臨床妊娠率和活產率的卵子。狀態：英緹與茂盛醫院聯手進行此研究案
研究目標:
- 卵子品質分級組間對於卵子受精後胚胎發育及可使用囊胚率的差異具有明顯統
計意義。 - 卵子品質分級組間對於懷孕結果有相關性
PUBLICATIONS
Our research findings are disseminated through peer-reviewed publications, contributing to the scientific understanding of IVF. Here are some of our notable publications:
A novel platform for discovery of differentially expressed microRNAs in patients with repeated implantation failure
Description: Our results demonstrate the potential of utilizing specific endometrial miRNAs as diagnostic biomarkers for predicting repeated implantation failure due to displaced window of implantation. The reproductive disease-related PanelChip we developed exhibited an accuracy exceeding 90% in predicting patients’ displaced window of implantation.
Published: April, 2021
A novel platform for discovery of differentially expressed microRNAs in patients with repeated implantation failure
Description: Our results demonstrate the potential of utilizing specific endometrial miRNAs as diagnostic biomarkers for predicting repeated implantation failure due to displaced window of implantation. The reproductive disease-related PanelChip we developed exhibited an accuracy exceeding 90% in predicting patients’ displaced window of implantation.
Published: April, 2021
Development of a Predictive Model for Optimization of Embryo Transfer Timing Using Blood-Based microRNA Expression Profile
Description: MicroRNA expression profiles from blood samples offer a non-invasive means to distinguish the three endometrial receptivity statuses. Our model from this study achieved an overall prediction accuracy of 95.9% in this regard.
Published: December, 2023
Development of a Predictive Model for Optimization of Embryo Transfer Timing Using Blood-Based microRNA Expression Profile
Description: MicroRNA expression profiles from blood samples offer a non-invasive means to distinguish the three endometrial receptivity statuses. Our model from this study achieved an overall prediction accuracy of 95.9% in this regard.
Published: December, 2023
Development of a Novel Endometrial Signature Based on Endometrial microRNA for Determining the Optimal Timing for Embryo Transfer
Description: The reproductive-related PanelChip® that analyses microRNA expression profiles could identify the optimal timing for embryo transfer with an accuracy of 93.9%, a sensitivity of 85.3%, and a specificity of 92.4%, showing a high promise of utilizing miRNA-based platform in precisely identifying the optimal timing for embryo transfer in endometrial tissue samples.
Published: March, 2024
Development of a Novel Endometrial Signature Based on Endometrial microRNA for Determining the Optimal Timing for Embryo Transfer
Description: The reproductive-related PanelChip® that analyses microRNA expression profiles could identify the optimal timing for embryo transfer with an accuracy of 93.9%, a sensitivity of 85.3%, and a specificity of 92.4%, showing a high promise of utilizing miRNA-based platform in precisely identifying the optimal timing for embryo transfer in endometrial tissue samples.
Published: March, 2024
Development and evaluation of a usable blastocyst predictive model using the biomechanical properties of human oocytes
Description: This study proposes a method to predict viable blastocysts from oocytes using biomechanical properties, surpassing traditional morphological and maternal factors. Results suggest potential for improving embryo selection with minimal impact on culture outcomes.
Accepted: March, 2024
Development and evaluation of a usable blastocyst predictive model using the biomechanical properties of human oocytes
Description: This study proposes a method to predict viable blastocysts from oocytes using biomechanical properties, surpassing traditional morphological and maternal factors. Results suggest potential for improving embryo selection with minimal impact on culture outcomes.
Accepted: March, 2024
CONTACT US
Our commitment to clinical evidence underscores our dedication to providing innovative solutions that improve outcomes in IVF treatment. For inquiries about our research or collaborations