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SCI 133 — Live Longer, Live Better: Exploring the Science of Aging

Quarter: Summer
Instructor(s): Ronjon Nag
Duration: 6 weeks
Format/Location: Live Online
Date(s): Jul 10—Aug 14
Class Recording Available: Yes
Class Meeting Day: Wednesdays
 
Class Meeting Time: 7:00—9:00 pm (PT)
Tuition: $425
   
Refund Deadline: Jul 12
 
Unit(s): 1
   
Status: Open
 
Quarter: Summer
Day: Wednesdays
Duration: 6 weeks
Time: 7:00—9:00 pm (PT)
Date(s): Jul 10—Aug 14
Unit(s): 1
Format/Location: Live Online
 
Tuition: $425
 
Refund Deadline: Jul 12
 
Instructor(s): Ronjon Nag
 
Recording Available: Yes
 
Status: Open
 
Why do we get old? Is aging another disease that can ultimately be cured? Can our lifespans be extended? How are centenarians different from others? In this course, we will seek to unravel the mysteries controlling human lifespan by journeying through the science and technology of aging. We will begin by examining current theories explaining the process of aging. This includes an investigation into programmed longevity, which suggests organisms have an inherent set of genes that determines their lifespan, as well as the wear and tear theory, which claims the gradual accumulation of cell damage causes aging. We’ll then explore how men and women age differently (women experience menopause, with increased bone loss, whereas men tend to more quickly experience cognitive decline) and look at research programs at Stanford and elsewhere focused on aging science. We will conclude by examining innovations intended to improve the quality of life as we age, including how technology can help us live longer through enhanced monitoring, predictive diets, and exercise regimens; the ways that artificial intelligence can create robotic and software assistants; and even how we may be able to store our memories and personalities after we pass away. Students will leave this course with a fundamental understanding of human aging, its clinical relevance, and innovations to understand the aging process and treat issues associated with it.

No science background is required.

RONJON NAG
Adjunct Professor in Genetics, Stanford Medicine

Ronjon Nag has been building AI systems for 40 years and co-founded or advised companies sold to Motorola, RIM/BlackBerry, and Apple. He is a venture capitalist and president of the R42 Group, which invests in and creates AI and longevity companies. He teaches AI, genes, ethics, and venture capital at Stanford Medicine and is a visiting fellow at the Stanford Center for the Study of Language and Information. He became a Stanford Interdisciplinary Distinguished Careers Institute Fellow in 2016. He received a PhD from Cambridge, an MS from MIT, and a BSc from Birmingham, United Kingdom. He has also received the MIT Great Dome Award, the IET Mountbatten Medal, the $1 million Verizon Powerful Answers Award, the 2021 IEEE-SCV Outstanding Engineer Award, and the 2023 COGX AI Lifetime Achievement Award and is the 2024 inductee in the Silicon Valley Engineering Hall of Fame. He is part owner of some 100 AI and biotech startups.

Textbooks for this course:

There are no required textbooks; however, some fee-based online readings may be assigned.