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Researchers in the Netherlands are developing ‘virtually painless’ injections without needles in what they hope is a breakthrough that will ease fear and encourage vaccinations.

#News #Reuters #BubbleGun #NeedleFree #Vaccine.

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Science and Technology: Some robots could be “eaten” so they could walk around inside the body and perform tests or surgeries from the inside out; or administer medications.

Robots made of several nanorobots joined together could assemble and reassemble themselves inside the body even after being…


Robots and food have long been distant worlds: Robots are inorganic, bulky, and non-disposable; food is organic, soft, and biodegradable. Yet, research that develops edible robots has progressed recently and promises positive impacts: Robotic food could reduce , help deliver nutrition and medicines to people and animals in need, monitor health, and even pave the way to novel gastronomical experiences.

But how far are we from having a fully edible robot for lunch or dessert? And what are the challenges? Scientists from the RoboFood project, based at EPFL, address these and other questions in a perspective article in the journal Nature Reviews Materials.

“Bringing robots and food together is a fascinating challenge,” says Dario Floreano, director of the Laboratory of Intelligent Systems at EPFL and first author of the article. In 2021, Floreano joined forces with Remko Boom from Wageningen University, The Netherlands, Jonathan Rossiter from the University of Bristol, UK, and Mario Caironi from the Italian Institute of Technology, to launch the project RoboFood.

https://youtu.be/Op3zYytUDDs.

Using generative AI, this time lapse sequence shows how melanoma skin cancer develops over 10 years. Starting with normal skin, slow progression to stage 4 melanoma is shown.

Obviously, such a time lapse can not be realistically accomplished as there is no way to know if any given area of skin will turn into cancer. Obviously, somebody with such future knowledge would have to start taking such photos now in the same spot over next 10 years to watch it slowly turn into cancer.

Watch time lapse video of basal cell carcinoma: https://youtube.com/shorts/d_O5zHgKnP8

Watch this video to see how these can be surgical removed: https://youtu.be/Op3zYytUDDs.

Video created by Dr. Christopher Chang:

For over five decades, futurist Raymond Kurzweil has shown a propensity for understanding how computers can change our world. Now he’s ready to anoint nanorobots as the key to allowing humans to transcend life’s ~120-year threshold.

As he wrote—both in the upcoming The Singularity is Nearer book (set for release on June 25) and in an essay published in Wired —the merging of biotechnology with artificial intelligence will lead to nanotechnology helping “overcome the limitations of our biological organs altogether.”

As our bodies accumulate errors when cells reproduce over and over, it invites damage. That damage can get repaired quickly by young bodies, but less so when age piles up.

We’ve now been living with COVID for well over four years. Although there’s still much to learn about SARS-CoV-2 (the virus that causes COVID) at least one thing seems clear: it’s here to stay.

From the original Wuhan variant, to delta, to omicron, and several others in between, the virus has continued to evolve.

New variants have driven repeated waves of infection and challenged doctors and scientists seeking to understand this changing virus’ behavior.

Today I’m thrilled to announce BrainBridge, the world’s first concept for a head transplant system, which integrates advanced robotics and artificial intelligence to execute complete head and face transplantation procedures. This state-of-the-art system offers new hope to patients suffering from untreatable conditions such as stage-4 cancer, paralysis, and neurodegenerative diseases like Alzheimer’s and Parkinson’s.

Official website: https://brainbridge.tech/
Follow me everywhere: https://muse.io/hashemalghaili.

#Science #Technology #Research #HeadTransplant #BrainBridge #Neuroscience

A Stanford Medicine study reveals six subtypes of depression, identified through brain imaging and machine learning. These subtypes exhibit unique brain activity patterns, helping predict which patients will benefit from specific antidepressants or behavioral therapies. This approach aims to personalize and improve depression treatment efficacy.

In the not-too-distant future, a quick brain scan during a screening assessment for depression could identify the best treatment.

According to a new study led by researchers at Stanford Medicine, brain imaging combined with a type of AI called machine learning can reveal subtypes of depression and anxiety. The study, to be published today (June 17) in the journal Nature Medicine, sorts depression into six biological subtypes, or “biotypes,” and identifies treatments that are more likely or less likely to work for three of these subtypes.

Researchers have discovered sex-specific differences in the nerve cells that generate pain, paving the way for personalized pain management treatments based on patient sex.

Research indicates that men and women experience pain differently, but the reasons behind this have remained unclear. A new study from the University of Arizona Health Sciences, published in the journal BRAIN, has now identified functional sex differences in nociceptors, the specialized nerve cells that produce pain.

The findings support the implementation of a precision medicine-based approach that considers patient sex as fundamental to the choice of treatment for managing pain.