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The Development of a Robust and User Friendly Preimplantation Metabolic Test of Blastocyst Competence, PMT-BC: Mass Spectral Analysis of Spent Blastocyst Media in Ai/ML-Bayesian Prediction of IVF Embryo Implantation Potential

2025-09-18

Abstract excerpt

In the development of prediction models, unsupervised Ai/ML systems are particularly susceptible to over fitting, tailoring to the build data set, and are insufficiently robust when tested on live, and not strictly parameter controlled, inputs. This is acutely seen in IVF Embryo selection tests, where group classification of success and failure can be inaccurate and are blurred. i.e. failure can be non-implantatio...

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Literature Corpus work
ec0e2f9b-9b95-5870-9bd8-5f8509345080
DOI
10.20944/preprints202508.2031.v2
Open publication

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The Development of a Robust and User Friendly Preimplantation Metabolic Test of Blastocyst Competence, PMT-BC: Mass Spectral Analysis of Spent Blastocyst Media in Ai/ML-Bayesian Prediction of IVF Embryo Implantation PotentialDOI 10.20944/preprints202508.2031.v2
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