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This Wearable Tracks the Female Cycle in Real Time
Hosts:
Phil Newman: https://qrco.de/bgXpNY
Nina Patrick: https://qrco.de/bgXpKn
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Sponsor: Fatty15
Fatty15 is a science-backed, patented, award-winning supplement with pure C15:0 that strengthens cell membranes and supports healthy aging at the cellular level. Benefits include deeper sleep, calmer mood, improved energy, and overall wellbeing.
Click the link below to learn more and use code UNLOCKED for 15% off the 90-day Starter Kit.
Link: fatty15.com/UNLOCKED
----------
Guests:
Jenny Duan
Co-Founder and CEO of Clair Health
LinkedIn: https://www.linkedin.com/in/jennysduan/
Website: https://wearclair.com/
Abhinav Agarwal
Co-Founder and CTO of Clair Health
LinkedIn: https://www.linkedin.com/in/agarwalaabhinav/
Website: https://wearclair.com/
----------
What if women’s hormones were tracked like heart rate, continuously and contextually, not through annual snapshots?
Phil Newman and Dr. Nina Patrick sit down with Jenny Duan, CEO of Clair, and Abhinav Argawal, CTO, to explore how a jewelry-inspired wrist wearable uses multi-sensor biosignals to infer estrogen and progesterone in real time across daily life.
They explain how signals such as skin temperature, HRV, sweat response, intracellular and extracellular current shifts, and more than 100 derived biomarkers are combined through sensor fusion to model hormone trajectories that update throughout the day. From forecasting an athlete’s rate of perceived exertion days before training to identifying progesterone patterns associated with PCOS and endometriosis risk, these examples show what continuous data reveals that snapshot testing cannot. The discussion also uncovers how this level of visibility allows the female cycle to be understood as nine distinct sub-phases rather than the traditional four.
They also discuss how lifestyle context, such as sleep, hydration, stress, and schedule, is integrated into the model to avoid contradictions between device feedback and lived experience. Early beta studies across PCOS, endometriosis, and perimenopause cohorts are already informing how this data can support fertility planning and symptom awareness.
In this episode, you’ll learn:
- Why the female cycle can be divided into nine hormone sub-phases
- How 230 biomarkers are refined into 100 inputs for hormone modeling
- How athletes can adjust hydration and nutrition before exertion spikes
- How progesterone trends may signal risk patterns for PCOS and endometriosis
- Why fertility and perimenopause represent 60% of early pre-orders
If you want to understand how continuous hormone visibility reshapes female health decisions across life stages, this episode connects biosensing, AI modeling, and practical insights for longevity.
Subscribe for weekly episodes that explore longevity science, preventative medicine, and the systems shaping how we live longer and better.
View all episodes
By Longevity.TechnologyHosts:
Phil Newman: https://qrco.de/bgXpNY
Nina Patrick: https://qrco.de/bgXpKn
----------
Sponsor: Fatty15
Fatty15 is a science-backed, patented, award-winning supplement with pure C15:0 that strengthens cell membranes and supports healthy aging at the cellular level. Benefits include deeper sleep, calmer mood, improved energy, and overall wellbeing.
Click the link below to learn more and use code UNLOCKED for 15% off the 90-day Starter Kit.
Link: fatty15.com/UNLOCKED
----------
Guests:
Jenny Duan
Co-Founder and CEO of Clair Health
LinkedIn: https://www.linkedin.com/in/jennysduan/
Website: https://wearclair.com/
Abhinav Agarwal
Co-Founder and CTO of Clair Health
LinkedIn: https://www.linkedin.com/in/agarwalaabhinav/
Website: https://wearclair.com/
----------
What if women’s hormones were tracked like heart rate, continuously and contextually, not through annual snapshots?
Phil Newman and Dr. Nina Patrick sit down with Jenny Duan, CEO of Clair, and Abhinav Argawal, CTO, to explore how a jewelry-inspired wrist wearable uses multi-sensor biosignals to infer estrogen and progesterone in real time across daily life.
They explain how signals such as skin temperature, HRV, sweat response, intracellular and extracellular current shifts, and more than 100 derived biomarkers are combined through sensor fusion to model hormone trajectories that update throughout the day. From forecasting an athlete’s rate of perceived exertion days before training to identifying progesterone patterns associated with PCOS and endometriosis risk, these examples show what continuous data reveals that snapshot testing cannot. The discussion also uncovers how this level of visibility allows the female cycle to be understood as nine distinct sub-phases rather than the traditional four.
They also discuss how lifestyle context, such as sleep, hydration, stress, and schedule, is integrated into the model to avoid contradictions between device feedback and lived experience. Early beta studies across PCOS, endometriosis, and perimenopause cohorts are already informing how this data can support fertility planning and symptom awareness.
In this episode, you’ll learn:
- Why the female cycle can be divided into nine hormone sub-phases
- How 230 biomarkers are refined into 100 inputs for hormone modeling
- How athletes can adjust hydration and nutrition before exertion spikes
- How progesterone trends may signal risk patterns for PCOS and endometriosis
- Why fertility and perimenopause represent 60% of early pre-orders
If you want to understand how continuous hormone visibility reshapes female health decisions across life stages, this episode connects biosensing, AI modeling, and practical insights for longevity.
Subscribe for weekly episodes that explore longevity science, preventative medicine, and the systems shaping how we live longer and better.