Toggle light / dark theme

Scientists have shown that they can detect SARS-CoV-2, the virus that causes COVID-19, in the air by using a nanotechnology-packed bubble that spills its chemical contents like a broken piñata when encountering the virus.

Such a could be positioned on a wall or ceiling, or in an air duct, where there’s constant air movement, to alert occupants immediately when even a trace level of the virus is present.

The heart of the nanotechnology is a , a composed of oils, fats and sometimes water with inner space that can be filled with air or another substance. Micelles are often used to deliver anticancer drugs in the body and are a staple in soaps and detergents. Almost everyone has encountered a micelle in the form of soap bubbles.

The ability to analyze the properties of individual cells is vital to broad areas of life science applications, from diagnosing diseases and developing better therapeutics to characterizing pathogenic bacteria and developing cells for bioproduction applications. However, the accurate analysis of individual cells is a challenge, especially when it comes to a cell’s biophysical properties, due to large property variations among cells even in the same cell population as well as the presence of rare cell types within a larger population.

Addressing this need, Dr. Arum Han, Texas Instruments Professor II in the Department of Electrical and Computer Engineering at Texas A&M University, together with his graduate students and postdoctoral researchers, have developed a new technology that can accurately analyze cell properties through the use of a single-cell electrorotation microfluidic device, which utilizes an electric field to probe the cell’s properties.

The technology works by using an electric field to first capture a single cell in a microfluidic device, followed by applying a rotating electric field to rotate the trapped single cell and then measuring the speed of rotation. By knowing the input electric field parameters and analyzing the rotation speed, accurately analyzing the dielectric properties of a single cell becomes possible.

Extending the limit of the human lifespan. The first immortal human has already been born.
“The first human to live to 1,000 has already been born” – Dr. Aubrey de Grey. How far are we in understanding aging and death? Do we have to age or is it a matter of a choice? What is the future of immortality? Is it possible to be immortal and if yes — how far are we in implementing medical treatment and technology that can forestall this natural process we have always thought “is just how life is”.
In this video I am reviewing the cutting-edge technologies and the pioneers in the field of extending life expectancy and reaching immortality eventually. Hint: is it closer than you might imagine!

SUBSCRIBE TO THE CHANNEL!!!

And also CHECK OUT my RUMBLE account: https://rumble.com/c/c-1385001 where I’m uploading my content as well. In near future I might be uploading more videos there.

If you are eager to learn more in depth on this topic here are some of the resources I used to create this video:

Topics on treating aging and de-aging:
https://news.sky.com/story/turning-back-the-clock-human-skin…e=facebook.
https://www.express.co.uk/news/science/887985/live-forever-e…university.
https://cenie.eu/en/news/academy-health-and-lifespan-research-bet-longevity.
https://www.nature.com/articles/d41587-022-00002-4

Stem cell therapy:

Reporting in Research Ideas and Outcomes, a Kyushu University researcher has developed a new technique for scanning various plants and animals and reconstructing them into highly detailed 3D models. To date, over 1,400 models have been made available online for public use.

Open any textbook or nature magazine and you will find stunning high-resolution pictures of the diverse flora and fauna that encompass our world. From the botanical illustrations in Dioscorides’ De materia medica (50−70 CE) to Robert Hooke’s sketches of the microscopic world in Micrographia (1665), scientists and artists alike have worked meticulously to draw the true majesty of nature.

The advent of photography has given us even more detailed images of animals and plants both big and small, in some cases providing new information on an organism’s morphology. As technology developed, digital libraries began to grow, giving us near unfettered access to valuable data, with methods like computer tomography, or CT, and MRI scanning becoming powerful tools for studying the internal structure of such creatures.

Research in the field of machine learning and AI, now a key technology in practically every industry and company, is far too voluminous for anyone to read it all. This column, Perceptron, aims to collect some of the most relevant recent discoveries and papers — particularly in, but not limited to, artificial intelligence — and explain why they matter.

Over the past few weeks, researchers at MIT have detailed their work on a system to track the progression of Parkinson’s patients by continuously monitoring their gait speed. Elsewhere, Whale Safe, a project spearheaded by the Benioff Ocean Science Laboratory and partners, launched buoys equipped with AI-powered sensors in an experiment to prevent ships from striking whales. Other aspects of ecology and academics also saw advances powered by machine learning.

The MIT Parkinson’s-tracking effort aims to help clinicians overcome challenges in treating the estimated 10 million people afflicted by the disease globally. Typically, Parkinson’s patients’ motor skills and cognitive functions are evaluated during clinical visits, but these can be skewed by outside factors like tiredness. Add to that fact that commuting to an office is too overwhelming a prospect for many patients, and their situation grows starker.

Researchers at the University of Texas at Austin have developed a decoder that uses information from fMRI scans to reconstruct human thoughts. Jerry Tang, Amanda LeBel, Shailee Jain and Alexander Huth have published a paper describing their work on the preprint server bioRxiv.

Prior efforts to create technology that can monitor and decode them to reconstruct a person’s thoughts have all consisted of probes placed in the brains of willing patients. And while such technology has proven useful for research efforts, it is not practical for use in other applications such as helping people who have lost the ability to speak. In this new effort, the researchers have expanded on work from prior studies by applying findings about reading and interpreting brain waves to data obtained from fMRI scans.

Recognizing that attempting to reconstruct brainwaves into individual words using fMRI was impractical, the researchers designed a decoding device that sought to gain an overall understanding of what was going on in the mind rather than a word-for-word decoding. The decoder they built was a that accepted fMRI data and returned paragraphs describing general thoughts. To train their algorithm, the researchers asked two men and one woman to lie in an fMRI machine while they listened to podcasts and recordings of people telling stories.

There now genetic testing of breast cancer for men and women. The mutations in BRCA1 and BRCA2 Genes will cause cancer. I think in the future though error correction in the dna code could lead to the cure using crispr.


The contribution of BRCA1 and BRCA2 to inherited breast cancer was assessed by linkage and mutation analysis in 237 families, each with at least four cases of breast cancer, collected by the Breast Cancer Linkage Consortium. Families were included without regard to the occurrence of ovarian or other cancers. Overall, disease was linked to BRCA1 in an estimated 52% of families, to BRCA2 in 32% of families, and to neither gene in 16% (95% confidence interval [CI] 6%–28%), suggesting other predisposition genes. The majority (81%) of the breast-ovarian cancer families were due to BRCA1, with most others (14%) due to BRCA2. Conversely, the majority of families with male and female breast cancer were due to BRCA2 (76%). The largest proportion (67%) of families due to other genes was found in families with four or five cases of female breast cancer only. These estimates were not substantially affected either by changing the assumed penetrance model for BRCA1 or by including or excluding BRCA1 mutation data. Among those families with disease due to BRCA1 that were tested by one of the standard screening methods, mutations were detected in the coding sequence or splice sites in an estimated 63% (95% CI 51%–77%). The estimated sensitivity was identical for direct sequencing and other techniques. The penetrance of BRCA2 was estimated by maximizing the LOD score in BRCA2-mutation families, over all possible penetrance functions. The estimated cumulative risk of breast cancer reached 28% (95% CI 9%–44%) by age 50 years and 84% (95% CI 43%–95%) by age 70 years. The corresponding ovarian cancer risks were 0.4% (95% CI 0%–1%) by age 50 years and 27% (95% CI 0%–47%) by age 70 years. The lifetime risk of breast cancer appears similar to the risk in BRCA1 carriers, but there was some suggestion of a lower risk in BRCA2 carriers.

This is the first study to record such electrical activity from inside the brain.

How do people remember the things they’ve learned? To get to the bottom of the mystery, scientists undertook a study that looked deep inside the brain.

Neuroscientists from Northwestern University and clinicians from the University of Chicago Epilepsy Center examined the electrical activity in the brains of five patients at the center in response to sounds administered by the research team as part of a learning exercise.


Department of neurological surgery, the university of chicago.

To get to the bottom of the mystery, scientists undertook a study that looked deep inside the brain, where “previous learning was reactivated during sleep,” resulting in a refined memory.

He turned a crisis into an opportunity.

Brian Stanley is a living human cyborg. He has gone viral after sharing a video on social media with an eye flashlight that can light up the whole room. After losing one eye to cancer.

As Brian Stanley suggested in the video, the eye has a battery life of roughly 20 hours, and “it does not get hot.”


Brian Stanley/Instagram.

After losing one eye to cancer, Southern California-based engineer and prototype machinist, Stanley decided to install a flashlight into his eyehole and called it “Titanium Skull Lamp.”

The artificial intelligence software speeds up the process of taking scans.

Philips received clearance from the FDA for its artificial intelligence MR platform that is used to detect cancerous tumors in the head and neck.


FDA clearance for AI technology

The company announced that the FDA gave clearance for Philip’s AI-enabled MRCAT radiotherapy. The clearance, also known as the 510(k) clearance, requires device manufacturers to register, and notify FDA of their intent to market a medical device at least 90 days in advance.