Alessandro Carvalho – Lifeboat News: The Blog https://lifeboat.com/blog Safeguarding Humanity Thu, 30 Nov 2023 17:22:26 +0000 en-US hourly 1 https://wordpress.org/?v=6.4.2 Research suggests that dinosaurs may have influenced how human beings age https://russian.lifeboat.com/blog/2023/11/research-suggests-that-dinosaurs-may-have-influenced-how-human-beings-age https://russian.lifeboat.com/blog/2023/11/research-suggests-that-dinosaurs-may-have-influenced-how-human-beings-age#respond Thu, 30 Nov 2023 17:22:26 +0000 https://lifeboat.com/blog/2023/11/research-suggests-that-dinosaurs-may-have-influenced-how-human-beings-age

Science: Research suggest that dinosaurs 🦕 🦖 may have influenced how humans age today.


Human aging may have been influenced by millions of years of dinosaur domination according to a new theory from a leading aging expert. The ‘longevity bottleneck’ hypothesis has been proposed by Professor Joao Pedro de Magalhaes from the University of Birmingham in a new study published in BioEssays. The hypothesis connects the role that dinosaurs played over 100 million years with the aging process in mammals.

While some reptiles and amphibians show no significant signs of aging, all mammals—including humans—show a marked .

Professor de Magalhaes’ hypothesis suggests that during the Mesozoic Era, mammals faced persistent pressure for rapid reproduction during the reign of dinosaurs, which over 100 million years led to the loss or inactivation of genes associated with , such as processes associated with tissue regeneration and DNA repair.

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How Old Can Humans Get? https://russian.lifeboat.com/blog/2023/07/how-old-can-humans-get Tue, 01 Aug 2023 01:23:19 +0000 https://lifeboat.com/blog/2023/07/how-old-can-humans-get

An expert on aging thinks humans could live to be 1,000 years old—with a few tweaks to our genetic “software”.

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Scientists in breakthrough towards secret of eternal youth https://russian.lifeboat.com/blog/2023/07/scientists-in-breakthrough-towards-secret-of-eternal-youth Mon, 31 Jul 2023 19:24:40 +0000 https://lifeboat.com/blog/2023/07/scientists-in-breakthrough-towards-secret-of-eternal-youth

Science: In my opinion the main cause of aging is the accumulation of mutations in DNA 🧬 more than telomere size reduction or “toxin’s”. But the control of these “toxins” together with drug’s that simulate the restriction of calories and the transfusion of blood from young people to old people. And future drugs to make the telomeres grow again.

These four treatments together maybe can promote life extension. I am also enthusiastic in regenerative treatment with stem cells and “replace” old organs by new one’s growing in lab from stem cells. However I believe that immortality only when you make the enzymes “fix” in 100% the mutations caused by radicals.


High levels of toxic chemicals in the body, such as formaldehyde, which is best known as an embalming agent, have recently been found to be naturally made by cells and also to cause ageing.

Leading scientists from Cornell University, the University of Oxford, the University of Cambridge and Cancer Research UK are trying to understand what causes the body to overproduce formaldehyde.

It is hoped that drugs may be able to lower levels of it in the body and reverse the ageing process.

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Study combines quantum computing and generative AI for drug discovery https://russian.lifeboat.com/blog/2023/07/study-combines-quantum-computing-and-generative-ai-for-drug-discovery Mon, 17 Jul 2023 20:48:09 +0000 https://lifeboat.com/blog/2023/07/study-combines-quantum-computing-and-generative-ai-for-drug-discovery

Science and Technology:

Hope that they find a medicine to cure aging and turn us immortal and able to live forever still during “our” lifetime.


Insilico Medicine, a clinical stage generative artificial intelligence (AI)-driven drug discovery company, today announced that it combined two rapidly developing technologies, quantum computing and generative AI, to explore lead candidate discovery in drug development and successfully demonstrated the potential advantages of quantum generative adversarial networks in generative chemistry.

The study, published in the Journal of Chemical Information and Modeling, was led by Insilico’s Taiwan and UAE centers which focus on pioneering and constructing breakthrough methods and engines with rapidly developing technologies—including generative AI and —to accelerate drug discovery and development.

The research was supported by University of Toronto Acceleration Consortium director AlĂĄn Aspuru-Guzik, Ph.D., and scientists from the Hon Hai (Foxconn) Research Institute.

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