Lifeboat Foundation

Could genes from a jellyfish-like marine animal lead to the ultimate anti-aging treatment?

America’s civilian survivors of the Trinity atomic bomb test in 1945 described as move on Oppenheimer is released.

The Trinity test site was chosen, in part, for its supposed remove from human inhabitation. Yet nearly half-a-million people were living within a 150-mile radius of the explosion, with some as close as 12 miles away. None were warned or evacuated by the US government ahead of time.

NASA has shared an image of three spacecraft that will play a central role in its next three Artemis missions to the moon.

Having already successfully tested the Orion spacecraft on a lunar flyby at the end of last year after being blasted to space by NASA’s new Space Launch System rocket, the American space agency is now overseeing the building of three more Orion capsules for upcoming Artemis missions.

While we are used to the idea of teeth only growing twice, a new drug could make it possible to grow a third set.

Scientists are making significant strides in the development of a groundbreaking drug that could potentially enable the regrowth of teeth.

Clinical trials are scheduled to commence in July next year. They hope it will be available for dentists to use by 2030.

Bryan Johnson got blood plasma from his 17-year-old son as part of his effort to age backward but has concluded there were “no benefits detected.”

A recent paper published in Nature Aging by researchers from Integrated Biosciences, a biotechnology company combining synthetic biology and machine learning.

Machine learning is a subset of artificial intelligence (AI) that deals with the development of algorithms and statistical models that enable computers to learn from data and make predictions or decisions without being explicitly programmed to do so. Machine learning is used to identify patterns in data, classify data into different categories, or make predictions about future events. It can be categorized into three main types of learning: supervised, unsupervised and reinforcement learning.

Ark Invest, which is led by CEO Cathie Wood, has been pouring money into semiconductor stocks lately and has made another notable purchase. According to portfolio updates published by the firm yesterday, Wood’s company has increased its investment in Quantum-Si (QSI-6.20%) — a small-cap biotech with a specialized, chip-based platform for protein sequencing.

Ark Invest regularly publishes information about stocks that have been bought and sold for its exchange-traded funds (ETFs), and a recent update showed it purchased more than 1.4 million shares of Quantum-Si stock for its Ark Genomic Revolution ETF (ARKG-1.84%) on Thursday. The purchase would have been valued at roughly $3.7 million based on the stock’s price at market close yesterday, and is the largest investment that Ark has made in the healthcare-tech upstart’s stock so far.

So the question is: Why is Wood excited about this little-known life sciences player?

For three days, artificial intelligence planned my days, gave me (limited) advice and even took a stab at writing this article. Now I’m left wondering: What did it get out of our arrangement?

The discovery of the enormous plant type surprised researchers.