This study will compare different combinations of fertility signs (cervical mucus (CM), luteinizing hormone \[LH\], pregnanediol glucuronide \[PDG\], and basal body temperature \[BBT\]) to determine which are most reliable for identifying ovulation and luteal phase length. Thirty existing Premom App users will track daily observations for three menstrual cycles. Participants will record mucus, perform urine tests, upload test strip photos to the Premom App, and measure BBT. Both participant readings and AI-assisted app readings will be analyzed. The main goal is to find which marker pairings give the most accurate picture of ovulation timing and luteal phase length. Secondary goals include understanding ease of use, the number of tests required, and whether the app improves accuracy.
Female, aged 16 to 45
Natural menstrual cycles equal or less than 35 days
Off hormonal contraception for more than 3 months
Current user of the Premom App
Pregnant or breastfeeding
Current hormonal therapy or contraception
Known anovulatory disorders, e.g., Polycystic Ovary Syndrome, hypothalamic amenorrhea.
Very irregular or absent cycles
Bruyère Health Research Institute.
Lead sponsor