812: The Menopause Algorithm: Hacking Your Ovarian Age & Predicting Menopause with Kiran Kumar

Beauty Bytes with Dr. Kay: Secrets of a Plastic Surgeon™

Kay Durairaj, MD, FACS @beautybydrkay

Business, Arts, Fashion & Beauty, Health & Fitness, Management & Marketing, Medicine

4.9 • 608 Ratings

🗓️ 10 March 2026

⏱️ 39 minutes

🔗️ Recording | iTunes | RSS

🧾️ Download transcript

Summary

Have you ever wished you had a crystal ball to tell you exactly when you will enter menopause? In this groundbreaking episode of Beauty Bytes, I am joined by Kiran Kumar, a bioengineer and the founder and CEO of Timeless Biotech. We discuss their revolutionary new product, MenoTime, the first and only AI-powered ovarian aging clock. Ovarian aging is one of the most significant drivers of overall female aging; in fact, women can experience a massive nine-year acceleration in their biological age (measured by the glycan age clock) in just the six months following their final menstrual period. Kiran explains that static, one-time hormone tests are notoriously difficult to interpret, but by using machine learning trained on over 40,000 patient visits, MenoTime can predict your age at menopause within a 1.5-year error range. We dive into the fascinating, and sometimes shocking, data uncovered by this algorithm. We discuss why your mother's age of menopause didn't even crack the top 50 predictors, why a decline in melatonin is actually your first warning sign, and how factors like sexual health and dietary fats play a massive role in delaying ovarian decline. I am also thrilled to announce we will be offering the MenoTime test right here in my LA clinic starting in January!

Transcript

Click on a timestamp to play from that location

0:00.0	Well, hello, hello, guys. You're listening to Beauty Bites with Dr. K, Secrets of a Plastic Surgeon,
0:21.7	and today's podcast is all about ovarian aging and menopause, and can we have a model to predict
0:29.5	when we're going to enter menopause? This is an amazing concept. We are interviewing Kieran
0:34.4	Kumar. She is the founder and CEO of Timeless Biotech. This is a venture that's
0:40.2	focused on bringing AI models to healthcare in a scalable way and really to women's health
0:44.9	care. Their first big product is called Menotime. And it's the first and only ovarian aging
0:50.6	clock. And it's kind of a machine learning model where we're using AI to enable women to
0:55.5	track their track and hack their ovarian age and actually ovarian aging is so important that
1:02.7	menopause is like a cause of precipitously fast aging and if only you can know when you're
1:07.8	going into menopause how great would that be kieran is a biotech bioengineer from UC San Diego.
1:13.2	She's contributed to research and machine learning-powered diagnostics and longevity businesses,
1:19.4	and she has identified the need for an ovarian longevity focus.
1:23.5	So welcome to the podcast.
1:25.2	Happy to be here.
1:26.5	Okay, great.
1:27.3	Well, tell us a little bit about you and your background and what made you think that we
1:31.3	need to track and hack our ovarian age.
1:33.3	Yeah, of course.
1:34.3	Well, the data really led me in this direction, which I believe has, it's done for many
1:39.3	different positions and researchers in the space, because we just see this overwhelming need
1:45.7	to focus on longevity focus protocols that are backed by data.
1:50.8	And we find that lots of the protocols that we currently suggest don't necessarily work for
	...

Please login to see the full transcript.

Previous episode | Next episode

Disclaimer: The podcast and artwork embedded on this page are from Kay Durairaj, MD, FACS @beautybydrkay, and are the property of its owner and not affiliated with or endorsed by Tapesearch.

Generated transcripts are the property of Kay Durairaj, MD, FACS @beautybydrkay and are distributed freely under the Fair Use doctrine. Transcripts generated by Tapesearch are not guaranteed to be accurate.