Life Whisperer Viability (LWV)

Use AI to evaluate the likelihood of clinical pregnancy from a single static embryo image

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

Life Whisperer Viability is an instant, objective, and non-invasive web application to aid in the decision-making process of embryo selection. 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 embryo images and receive instant results. Life Whisperer Viability’s AI algorithm assesses morphological features correlating with the likelihood of clinical pregnancy, allowing you to select viable embryos with confidence.

Clinical studies have shown that Life Whisperer Viability is up to 25% more accurate than manual grading methods at identifying viable embryos that lead to clinical pregnancy [1], which can reduce time to pregnancy by 12%* [2]. For clinics, this means greater patient demand, a greater capacity for higher-value first cycle patients, and ultimately increased revenue and patient satisfaction.

Life Whisperer Viability also improves standardization and efficiency, making embryo selection easier, faster and more accurate, which decreases the unspoken pressure on embryologists to make the right choice during this emotionally charged time for patients.

*Time to pregnancy evaluated using simulated cohort ranking analyses.

[1] VerMilyea et al, 2020. Development of an artificial intelligence-based assessment model for prediction of embryo viability using static images captured by optical light microscopy during IVF. Hum Reprod, 35(4):770-784

[2] Diakiw et al, 2022. An artificial intelligence model correlated with morphological and genetic features of blastocyst quality improves ranking of viable embryos. RBMO, 5(6):1105-1117

Life Whisperer’s deep learning

Identifies known and unknown features correlated with the likelihood of clinical pregnancy, 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.