Paulina Pasik
Forth - Humankind Ventures Ltd) collaborating with Swansea University
United Kingdom
Abstract Title:
Evaluation of a novel AI-powered hormonal mapping tool: MyFORM®
Biography:
Paulina Pasik holds an MSc in Human Biology with a strong focus on women’s health and has developed a growing track record in femtech research. Her experience includes preparing and submitting ethics applications, coordinating participant recruitment, and conducting advanced statistical analyses. She has a solid understanding of research design, data interpretation, and the scientific foundations relevant to women’s health innovations.
Research Interests:
Understanding hormonal differences and fluctuations between individuals is crucial for implementing new health tools in day-to-day life. AI-based predictive modelling introduces new pathways in patient care, aiming to revolutionize modern healthcare. MyFORM® is an innovative hormonal mapping tool. With only two finger-prick blood samples collected on days 14 and 21 of menstrual cycle, the AI-powered algorithm has the ability to map an entire cycle, allowing users to track hormonal fluctuations, identify possible disruptions and receive personalised ovarian response score. The aim of the study is to evaluate the accuracy and predictive capacity of the MyFORM® algorithm in mapping oestradiol, progesterone, luteinizing hormone, and follicle- stimulating hormone in 15 healthy women aged 18-40 years with regular menstrual cycles ranging from 25 to 35 days. The objective is to assess predicted personalised hormone maps using appropriate statistical methods for each hormone, compared against physiological capillary sampling across the menstrual cycle for two or three consecutive cycles. This study gives special consideration to the predictive assessment of ovulation timing and confirmation. Data obtained from participants include body assessments and comprehensive questionnaires regarding reproductive health status, enabling effective control of potential disruptors. Preliminary data show promising results in algorithm performance. Evaluation of the MyFORM® algorithm demonstrates potential for further implementation in clinical settings, as well as expansion to enhance digital health approaches to women’s health and reproductive knowledge.
