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This is primarily about Rejuvant or AKG trials. When they first reported an 8 year age difference I did not truly believe it as that would mean I could take it, de-age, then age a bit, then just take it again. The tests however are ongoing and will feature people who are biologically older than their calendar age. There is also mention of 110 drugs/supplements that do “something” to mice. That would be quite a stack to take.


Dr Brian Kennedy presents potential interventions for extend our healthspan. Among them, Rejuvant – a CaAKG supplement which contain calcium + alpha-ketoglutarate shows better response for people who has biological age older than chronological age.

The first human trial of Rejuvant to reverse human biological age by 8 years in 7 month.

This included ‘evaluating life’, such as seeing memories and assessing how they had treated others during their time alive.

Others felt like they were ‘heading to a destination’ or were even aware that CPR was being performed.

Dr Sam Parnia, study author and a critical care expert from New York medical centre NYU Langone Health, said patients can also be aware of activities in intensive care after CPR and hear medics treating them.

Summary: Findings could have implications for new avenues of research for a range of neurodegenerative diseases including ALS and Alzheimer’s.

Source: University of Bath.

A discovery that may improve treatment options for patients with neurodegenerative diseases has been made by scientists at King’s College London and the University of Bath in the UK.

NASA’s moon-bound Orion space capsule fired its main engine for the first time about eight hours after the launch of the Artemis 1 mission to adjust its trajectory and check out the system.

The capsule was lofted to space by the giant Space Launch System rocket from NASA’s Kennedy Space Center in Florida early Wednesday morning (Nov. 16). The rocket’s second stage put the capsule on a trajectory toward the moon about two hours after liftoff. However, to perfect the path and to make sure that Orion’s own maneuvering system works as designed, the capsule performed a planned engine burn shortly before 10 a.m. EST (1500 GMT) on Wednesday.

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Oregon State University scientists have invented a way to make magnetic nanoparticles that get hotter than any previous nanoparticle, improving their cancer fighting ability.

Faculty from the OSU College of Pharmacy spearheaded a collaboration that developed an advanced thermal decomposition method for producing able to reach temperatures in lesions of up to 50 degrees Celsius, or 122 degrees Fahrenheit, when exposed to an alternating magnetic field.

Findings of the preclinical study led by Oleh Taratula and Olena Taratula were published today in the journal Small Methods.

Take with a grain of salt and use at own risk:

Galactica is an AI trained on humanity’s scientific knowledge. You can use it as a new interface to access and manipulate what we know about the universe.

Last year, MIT developed an AI/ML algorithm capable of learning and adapting to new information while on the job, not just during its initial training phase. These “liquid” neural networks (in the Bruce Lee sense) literally play 4D chess — their models requiring time-series data to operate — which makes them ideal for use in time-sensitive tasks like pacemaker monitoring, weather forecasting, investment forecasting, or autonomous vehicle navigation. But, the problem is that data throughput has become a bottleneck, and scaling these systems has become prohibitively expensive, computationally speaking.

On Tuesday, MIT researchers announced that they have devised a solution to that restriction, not by widening the data pipeline but by solving a differential equation that has stumped mathematicians since 1907. Specifically, the team solved, “the differential equation behind the interaction of two neurons through synapses… to unlock a new type of fast and efficient artificial intelligence algorithms.”

“The new machine learning models we call ‘CfC’s’ [closed-form Continuous-time] replace the differential equation defining the computation of the neuron with a closed form approximation, preserving the beautiful properties of liquid networks without the need for numerical integration,” MIT professor and CSAIL Director Daniela Rus said in a Tuesday press statement. “CfC models are causal, compact, explainable, and efficient to train and predict. They open the way to trustworthy machine learning for safety-critical applications.”