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Life Whisperer Oocytes (LWO)

Use AI to evaluate the likelihood of a fertilized oocyte developing into a blastocyst from a single static oocyte image.

Use AI to evaluate the likelihood of usable blastocyst formation from a single static oocyte image.


Life Whisperer Oocytes analyzes morphological features that constitute a competent oocyte, including complex patterns that are difficult or even impossible to detect by the human eye.


Life Whisperer Oocytes is an instant, objective, and non-invasive web application to aid in evaluating MII oocyte quality prior to ICSI. It is easy to use and fully automated, without needing manual annotations, and operates with standard camera or time-lapse systems. Simply drag-and-drop oocyte images and receive instant results. Life Whisperer Oocytes’ AI algorithm assesses morphological features correlating with the likelihood of usable blastocyst formation*, helping you make those key decisions around how many IVF cycles should be performed for a successful outcome.


Clinical studies have shown that oocytes with a very high Life Whisperer Oocytes score are 3x more likely to be competent than oocytes with a very low score, with an 80% probability of forming a usable blastocyst**[1]. Life Whisperer Oocytes can be used with single oocyte images or images of oocytes in group culture, and can predict the number of blastocysts that might be obtained in any given cycle with an accuracy of 75%.


For clinics this means you can more efficiently plan your patient-specific IVF strategy, and also provide peace of mind for women undergoing IVF for fertility preservation. For egg banks this means you can better evaluate the quality of donor oocytes. Life Whisperer Oocytes provides key information for decision-making, helping to mitigate stress and improve transparency around the IVF process.


* A usable blastocyst is defined as being of expansion grade 3 or above (full, expanded, hatching, or hatched) by Day 5 or Day 6 post-ICSI.


** Probability calculated in the absence of confounding variables (women <35 years of age, and no diagnosis of male factor infertility).


[1] Hall et al, 2024. Use of Federated Learning on distributed data to develop an artificial intelligence for predicting usable blastocyst formation from pre-ICSI oocyte images. RBMO, https://doi.org/10.1016/j.rbmo.2024.104403 (in press).


Life Whisperer’s deep learning

Identifies known and unknown features correlated with the likelihood of usable blastocyst formation, including complex patterns that are difficult or even impossible to detect by the human eye.

Automatically generated patient report supports patient engagement, and increases transparency and participation.

Çamlıca Mahallesi Anadolu Bulvarı No: 20 Timko AA2  06200 Yenimahalle / Ankara – TURKEY

Teknopol İstanbul, Ahmet Yesevi Mahallesi Kerem Sokak  No: 9/1/20  34903 Pendik / İstanbul -TURKEY

+90 312 387 37 67

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