Assessing nutrition-related fertility risks using blood-test results
Infertility can remain unexplained after standard investigations, leaving couples with few decision-making tools. Lifestyle, metabolic health and oxidative status are associated with fertility, but their combined influence is complex and difficult to assess.
Alifert uses an algorithm to assess nutrition and metabolism-related fertility risks from blood results and body measurements. Its online tests give women, men and couples a score and advice to guide lifestyle changes.
What stands out about Alifert
The underlying couple-based model distinguished fertile from infertile couples in a case-control study.
Sorbonne Université reports an exclusive exploitation licence for the fertility algorithm IP owned by Sorbonne Université and AP-HP.
Alifert was created from French university-hospital research, with SATT Lutech supporting its formation and technology transfer.
Co-founder Rachel Lévy is a reproductive-medicine professor and hospital practitioner leading the department at Tenon Hospital.
Co-founder Antonin Lamazière leads clinical metabolomics at Saint Antoine Hospital and specialises in omics and AI for metabolism.
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