The Future of Personalized Wellness with Anne Wojcicki and Dr. Molly Maloof

Imagine waking up and knowing exactly what foods you need, how much to move, what to drink, and the exact time to go to sleep to feel your best every day. It might seem far-fetched, but the world of personalized wellness is emerging, and it's changing the way we understand the human body and what is possible. In this episode of First In Line, we're joined by Anne Wojciki, the CEO of 23andMe, and Dr. Molly Maloof, a biohacker focused on human optimization. You'll learn about the things you can do today to feel, look, and perform better than ever — and the innovations of tomorrow that are helping you optimize every aspect of your health. — Where to Find Anne Wojcicki:  • Twitter: https://twitter.com/annewoj23 • Instagram: https://www.instagram.com/annewoj23 Where to Dr. Molly Maloof: • Twitter: https://twitter.com/mollymaloofmd • Instagram: https://www.instagram.com/drmolly.co • Website: https://drmolly.co/ — Thank you to our sponsor for making this episode possible: This episode is brought to you by LMNT. LMNT is a delicious electrolyte drink mix with all of the things you need and none of the junk. It contains a science-backed electrolyte ratio: 1000 mg sodium, 200 mg potassium, 60 mg magnesium. LMNT can help prevent and eliminate headaches, muscle cramps, fatigue, sleeplessness, and other common symptoms of electrolyte deficiency. It tastes amazing and is great after a workout or one too many drinks :) Right now LMNT is offering our listeners a free sample pack with any order. That’s 8 single serving packets FREE with any LMNT order. Get yours at DrinkLMNT.com/BRIT. And it’s so good they have a no questions asked refund policy but you won’t need it. Production and marketing by https://penname.co. — In this episode, we cover: (04:40) Why Anne created 23andMe to empower consumers (09:40) The importance of having data about your genetics (14:39) What information can you learn from genetic testing (15:50) How insurance companies operate through cost analysis and do not optimize for patient experience (16:35) Wh