Lifeboat Foundation

Study suggests heart rate may be a useful tool to determine where to stimulate the brains of individuals with depressive disorders when brain scans aren’t available.

New research suggests a common brain network exists between heart rate deceleration and depression. By evaluating data from 14 people with no depression symptoms, the team of researchers at Brigham and Women’s Hospital, a founding member of the Mass General Brigham healthcare system, found stimulating some parts of the brain linked to depression with transcranial magnetic stimulation (TMS), also affected heart rate, suggesting clinicians may be able to target those areas without the use of brain scans that aren’t widely available. The findings were published recently in the journal Nature Mental Health.

Heart-Brain Coupling and TMS.

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.

Continue reading “Dutch develop no-pain needle-free injections” »

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 electronic waste, help deliver nutrition and medicines to people and animals in need, monitor health, and even pave the way to novel gastronomical experiences.

Continue reading “A fully edible robot could soon end up on our plate, say scientists” »

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.

Continue reading “Melanoma Skin Cancer Development Time Lapse (Normal to Stage 4 Melanoma Over 10 Years)” »

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.

Researchers in Budapest have been studying worms to slow down or stop ageing in humans by researching transposable elements in our DNA.

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.

Continue reading “Head Transplant Machine — BrainBridge” »

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.