Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: biotech/medical – Page 1,595

Making Tomorrow Better

I have a small YouTube channel which I create videos on clean energy and the environment. I have under 600 subs and many videos have not even hit 100 views but I am being increasingly targeted by fossil fuel activists and supporters, with personal attacks and misinformation.
I do respond to misinformation, and remove the worst comments but if anyone would like to help support me, nipping over to my channel, watching some videos and subscribing to the channel would be most appreciated.
We can show them that they are the minority, not us, and the wider the information spreads the quicker the change will be and the better life will be for everyone.
Thanks in advance and have an awesome day.

It is very likely that treatments to address the issues that cause aging & its related conditions & diseases will be within our reach in 15 to 20 years.

It is highly likely that a general realisation that these treatments are not only scientifically possible but within our reach will start to become increasingly apparent to the wider population in as little as maybe 5 years.

On this channel I will seek to hasten this realisation, & provide answers to the most common questions & concerns. I will also seek to distil the current scientific knowledge base into an easy to use action plan for those wishing to take measures to make sure they see this in good health.

To raise awareness of how close longevity treatments are.

Continue reading “Making Tomorrow Better” | >

Enhancing the workhorse: Artificial intelligence, hardware innovations boost confocal microscope’s performance

Since artificial intelligence pioneer Marvin Minsky patented the principle of confocal microscopy in 1957, it has become the workhorse standard in life science laboratories worldwide, due to its superior contrast over traditional wide-field microscopy. Yet confocal microscopes aren’t perfect. They boost resolution by imaging just one, single, in-focus point at a time, so it can take quite a while to scan an entire, delicate biological sample, exposing it light dosages that can be toxic.

To push confocal imaging to an unprecedented level of performance, a collaboration at the Marine Biological Laboratory (MBL) has invented a “kitchen sink” confocal platform that borrows solutions from other high-powered imaging systems, adds a unifying thread of “Deep Learning” artificial intelligence algorithms, and successfully improves the confocal’s volumetric resolution by more than 10-fold while simultaneously reducing phototoxicity. Their report on the technology, called “Multiview Confocal Super-Resolution Microscopy,” is published online this week in Nature.

“Many labs have confocals, and if they can eke more performance out of them using these artificial intelligence algorithms, then they don’t have to invest in a whole new microscope. To me, that’s one of the best and most exciting reasons to adopt these AI methods,” said senior author and MBL Fellow Hari Shroff of the National Institute of Biomedical Imaging and Bioengineering.

We might not know half of what’s in our cells, new AI technique reveals

Most human diseases can be traced to malfunctioning parts of a cell—a tumor is able to grow because a gene wasn’t accurately translated into a particular protein or a metabolic disease arises because mitochondria aren’t firing properly, for example. But to understand what parts of a cell can go wrong in a disease, scientists first need to have a complete list of parts.

By combining microscopy, biochemistry techniques and , researchers at University of California San Diego School of Medicine and collaborators have taken what they think may turn out to be a significant leap forward in the understanding of human cells.

The technique, known as Multi-Scale Integrated Cell (MuSIC), is described November 24, 2021 in Nature.

Artificial Intelligence Successfully Predicts Protein Interactions — Could Lead to Wealth of New Drug Targets

Research led by UT Southwestern and the University of Washington could lead to a wealth of drug targets.

UT Southwestern and University of Washington researchers led an international team that used artificial intelligence (AI) and evolutionary analysis to produce 3D models of eukaryotic protein interactions. The study, published in Science, identified more than 100 probable protein complexes for the first time and provided structural models for more than 700 previously uncharacterized ones. Insights into the ways pairs or groups of proteins fit together to carry out cellular processes could lead to a wealth of new drug targets.

“Our results represent a significant advance in the new era in structural biology in which computation plays a fundamental role,” said Qian Cong, Ph.D., Assistant Professor in the Eugene McDermott Center for Human Growth and Development with a secondary appointment in Biophysics.

Natural selection has been acting on hundreds of human genes in the last 3,000 years

Natural selection, the evolutionary process that guides which traits become more common in a population, has been acting on us for the past 3,000 years, right up to the modern day, new research suggests.

And it seems to be acting in surprising ways on complex traits encoded by multiple genes, such as those tied to intelligence, mental illness and even cancer.

Magic mushroom study hints psilocybin repairs alcohol-induced brain damage

𝐌𝐀𝐆𝐈𝐂 𝐌𝐔𝐒𝐇𝐑𝐎𝐎𝐌 𝐒𝐓𝐔𝐃𝐘 𝐒𝐔𝐆𝐆𝐄𝐒𝐓𝐒 𝐏𝐒𝐈𝐋𝐎𝐂𝐘𝐁𝐈𝐍 𝐌𝐀𝐘 𝐑𝐄𝐕𝐄𝐑𝐒𝐄 𝐀𝐋𝐂𝐎𝐇𝐎𝐋-𝐈𝐍𝐃𝐔𝐂𝐄𝐃 𝐁𝐑𝐀𝐈𝐍 𝐃𝐀𝐌𝐀𝐆𝐄

𝘼𝙁𝙏𝙀𝙍 𝙃𝘼𝙇𝙁 𝘼 𝘾𝙀𝙉𝙏𝙐𝙍𝙔 𝙤𝙛 𝙗𝙡𝙤𝙘𝙠𝙨 𝙩𝙤 𝙧𝙚𝙨𝙚𝙖𝙧𝙘𝙝 𝙤𝙣 𝙥𝙨𝙮𝙘𝙝𝙚𝙙𝙚𝙡𝙞𝙘𝙨’ 𝙥𝙤𝙩𝙚𝙣𝙩𝙞𝙖𝙡 𝙛𝙤𝙧 𝙩𝙧𝙚𝙖… See more.

The psychedelic drug psilocybin can restore alcohol-induced damage to the brain’s glutamate receptors — that’s the finding of a new study published in ‘Science Advances.’

Meet the Fish That Grows Up in Just 14 Days

😳! Circa 2018

Some animals live fast and die young. That means they need to grow up fast, too. This week, researchers crowned a new record holder for quick growth: Susan Milius at Science News reports that the turquoise killifish, Nothobranchius furzeri, found in Mozambique, can reach maturity in just 14 days, the fastest of any known vertebrate animal.

That rapid maturation is an adaptation to the killifish’s habitat, according to the study published this week in the journal Current Biology. The fish spend most of their lives as tiny embryos that have been deposited in sediment in small depressions across the savannah. When rain fills the ephemeral pools, the embryos mature rapidly reaching sexual maturity and depositing their own embryos before the pool once again dries up. Not only do they make babies quickly, they bulk up fast, too—typically growing from about 5 millimeters to 54 millimeters in their lifespan.

Researchers have been aware of the turquoise killifish’s super-fast maturation for a while. In fact, the fish is used as a model animal in aging studies because of this trait. In the lab, where the fish live a relatively leisurely lifestyle, the average rate of maturation is 18 days.

New gene-editing tools delete long stretches of DNA

Two new methods make it possible to delete long sections of the genome, expanding the capabilities of the gene editor CRISPR. The techniques could lead to therapies that excise large insertions or duplications tied to autism, such as the DNA repeats that underlie fragile X syndrome.

To remove a segment of DNA, CRISPR systems typically use an enzyme called Cas9 to snip double-stranded DNA at two target sites. The cell’s own repair machinery can then join the cut ends, omitting the intervening sequence. But this process is error prone and can insert or delete unintended segments of DNA, called ‘indels,’ or rearrange large sections of the genome. Snipping double-stranded DNA can also cause cell death.

A different CRISPR-based system called ‘prime editing’ can make DNA repair more precise. In one version of the technique, a protein complex called a prime editor cuts only one strand of DNA at one of the two sites and the opposite strand at the other site. The prime editor adds a sequence to one of the cut strands to guide the repair.

/* */