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After getting a considerable success in convincing scientists and investors, in the last decades, that undoing aging through a damage repair approach is possible and desirable, Aubrey de Grey is turning his advocacy efforts to politicians. In this video, he explains why.


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Aubrey de Grey delivers a keynote on the next steps for longevity for policy makers.

Dr Aubrey de Grey is a biomedical gerontologist based in Mountain View, California, USA, and is the Chief Science Officer of SENS Research Foundation, a California-based 501©(3) biomedical research charity that performs and funds laboratory research dedicated to combating the ageing process. He is also VP of New Technology Discovery at AgeX Therapeutics, a biotechnology start up developing new therapies in the field of biomedical gerontology. In addition, he is Editor-in-Chief of Rejuvenation Research, the world’s highest-impact peer-reviewed journal focused on intervention in ageing. He received his BA in computer science and Ph.D. in biology from the University of Cambridge. His research interests encompass the characterisation of all the types of self-inflicted cellular and molecular damage that constitute mammalian ageing and the design of interventions to repair and/or obviate that damage. Dr de Grey is a Fellow of both the Gerontological Society of America and the American Aging Association, and sits on the editorial and scientific advisory boards of numerous journals and organisations. He is a highly sought-after speaker who gives 40–50 invited talks per year at scientific conferences, universities, companies in areas ranging from pharma to life insurance, and to the public.

The company’s machine learning-based tool applies advanced algorithms to Maccabi’s existing electronic patient data to identify unvaccinated individuals at highest risk of developing serious flu-related complications. These could include elderly people; those with uncontrolled chronic diseases or respiratory diseases; long-term smokers; those that are immunodeficient or have diabetes; or children, explained Dr. Jeremy Orr, CEO of EarlySign.

The EarlySign investigational algorithm flags these individuals, who are then contacted by their healthcare providers and encouraged to come into the clinic and be vaccinated. Patients can be contacted by phone, text message or even snail mail, depending on their communication preferences and the methods offered by their clinics.

Orr noted that the program is especially important this year when many people have already died from the flu in Israel and the virus is expected to take an exceptionally heavier toll than usual this year.

Science is enabling women to have children later in life as new technologies transform IVF success rates. But an increasingly globalised IVF trade also poses dangers.

Science is changing how and when families are made. Women are going to be able to have both career and family in a way that we’ve never seen before. New technologies are transforming IVF success rates. AI allows us to look at features of the embryo invisible to the human eye.

Dawn and her husband, Mike, who is 66 are proud first-time parents in Nova Scotia, Canada. They married in 1977 and tried for a baby for decades. Attempts to conceive naturally and to adopt failed. So five years ago Dawn turned to IVF and donor eggs for help.

In Canada, as in America, industry guidelines discourage embryo transfers to women over 55 who face a higher risk of prenatal health conditions including pre-eclampsia, hypertension and diabetes. Dawn considered surrogacy. She looked abroad to developing countries with less restrictive guidelines and legislation.

SpaceX simulated an in-flight emergency Sunday to verify the company’s Crew Dragon spacecraft has the capability to catapult itself away from a failing Falcon 9 rocket.

Check out more spectacular photos of as a fireball engulfed the Falcon 9 — as expected — and the unpiloted Crew Dragon fired thrusters escape the launch vehicle (📷: Katie Darby & Spaceflight Now):

Isaac Newton and other premodern physicists saw space and time as separate, absolute entities — the rigid backdrops against which we move. On the surface, this made the mathematics behind Newton’s 1687 laws of motion look simple. He defined the relationship between force, mass and acceleration, for example, as $latex \vec{F} = m \vec{a}$.

In contrast, when Albert Einstein revealed that space and time are not absolute but relative, the math seemed to get harder. Force, in relativistic terms, is defined by the equation $latex \vec {F} =\gamma (\vec {v})^{3}m_{0}\,\vec {a} _{\parallel }+\gamma (\vec {v})m_{0}\,\vec {a} _{\perp }$.

But in a deeper sense, in the ways that truly matter to our fundamental understanding of the universe, Einstein’s theory represented a major simplification of the underlying math.