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Archive for the ‘biotech/medical’ category: Page 542

Feb 11, 2023

Nanotechnology meets Neuroscience — Nicholas Melosh at BrainMind

Posted by in categories: biotech/medical, engineering, nanotechnology, neuroscience

Dr. Nick Melosh at the BrainMind Summit hosted at Stanford, interviewed by BrainMind member Christian Bailey.

Nick Melosh is a Professor of Materials Science and Engineering, Stanford University. Nick’s research at Stanford focuses on how to design new inorganic structures to seamlessly integrate with biological systems to address problems that are not feasible by other means. This involves both fundamental work such as to deeply understand how lipid membranes interact with inorganic surfaces, electrokinetic phenomena in biologically relevant solutions, and applying this knowledge into new device designs. Examples of this include “nanostraw” drug delivery platforms for direct delivery or extraction of material through the cell wall using a biomimetic gap-junction made using nanoscale semiconductor processing techniques. We also engineer materials and structures for neural interfaces and electronics pertinent to highly parallel data acquisition and recording. For instance, we have created inorganic electrodes that mimic the hydrophobic banding of natural transmembrane proteins, allowing them to ‘fuse’ into the cell wall, providing a tight electrical junction for solid-state patch clamping. In addition to significant efforts at engineering surfaces at the molecular level, we also work on ‘bridge’ projects that span between engineering and biological/clinical needs. My long history with nano-and microfabrication techniques and their interactions with biological constructs provide the skills necessary to fabricate and analyze new bio-electronic systems.”

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Feb 11, 2023

Gabriel Kreiman — Computational Confessions of the Human Brain

Posted by in categories: biotech/medical, robotics/AI

Gabriel Kreiman is a Professor at Harvard Medical School. He is on faculty at Children’s Hospital and the Center for Brain Science at Harvard University. He is Associate Director and Thrust Leader in the Harvard/MIT Center for Brains, Minds, and Machines. He received his MSc and PhD from the California Institute of Technology and pursued postdoctoral work with Professor Poggio at MIT.

The Kreiman laboratory combines behavioral metrics, neurophysiological recordings and computational models to understand cognitive function and to build biologically inspired Artificial Intelligence systems. Kreiman’s work has focused on two main themes: understanding the transformation of pixel-like inputs into rich and complex visual percepts; and elucidating the subjectively filters incoming inputs to create lasting narratives that constitute the fabric of our personal experiences and knowledge.

Feb 11, 2023

The Nanorobot Surgeon You Can Swallow

Posted by in categories: biotech/medical, robotics/AI

In 1959, Richard Feynman made the famous assertion that one day we will be able to swallow the surgeon. Advancements in nanomedicine are making that dream come true. Nanoroboticist Metin Sitti shows the tiny robot that can take pictures, biopsy, and deliver medicine inside of you.

Watch the full program here: https://youtu.be/FzFY5ms3AUc.
Original program date: May 30, 2013

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Feb 11, 2023

Nanotechnology: Hacking Humans, Its Potential, and Real Risks

Posted by in categories: bioengineering, biotech/medical, cybercrime/malcode, nanotechnology

Science fiction has become a reality with recent developments toward biohacking through nanotechnology. Soon, science and industries may soon realize the potential of human hacking… but at what risk versus reward? Medical nanotechnology is one of these such topics. Many experts believe nanotechnology will pave the way for a bright, new future in improving our wellbeing. Yet, at the core of this biohacking are machines and as we’ve seen with other technologies — there are very real risks of malicious intent. In this video, we share some of the applications being developed combining nanotechnology and medicine. We also look at the potential risks found in the practice and how we may mitigate issues before they’re problematic. We also share how companies can reduce security flaws and curb public perception so the nanotechnology industry can flourish without major setbacks. Want to learn more about this budding area of science and medicine?

See our accompanying blog post for the details and be sure to dig around the site, here:

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Feb 11, 2023

Dogma-defying biology

Posted by in category: biotech/medical

Many of the proteins that play a crucial role in living cells adhere to a core principle of biology: their form, or shape, fits their function. But there is also a vast number of proteins and their parts that defy that dogma.

Why it matters: New findings are revealing how these flexible, disordered proteins work — and deciphering their role in human diseases and potential treatments.

How it works: Whether many medicines, immune cells, or the moment-to-moment inner workings of cells function depends on the shape of proteins they interact with or use.

Feb 11, 2023

10 Upcoming Future Technologies: How They’ll Impact Your Life

Posted by in categories: 3D printing, augmented reality, biotech/medical, blockchains, cybercrime/malcode, employment, health, internet, quantum physics, robotics/AI, virtual reality

Top 10 upcoming future technologies | trending technologies | 10 upcoming tech.

Future technologies are currently developing at an acclerated rate. Future technology ideas are being converted into real life at a very fast pace.

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Feb 11, 2023

Scientists Grew Mini Human Guts Inside Mice

Posted by in categories: biotech/medical, engineering

The organoids can be used to study the development of diseases and the effects of drugs.

Michael Helmrath, a pediatric surgeon at Cincinnati Children’s Hospital Medical Center, and his colleagues made headlines last week when they revealed trials where they had transplanted balls of human intestinal tissue into mice, according to a report by *Wired* published on Thursday.

After a few weeks, these transplants developed key features of the human immune system, introducing a model that could be used to effectively simulate the human intestinal system.

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Feb 11, 2023

Antibiotic Breakthrough: The Power of a Plant-Derived Toxin

Posted by in categories: biotech/medical, innovation

A powerful plant-derived toxin with a unique way of killing harmful bacteria has been identified as one of the most promising new antibiotics in decades.

Albicidin, a new antibiotic, is produced by the plant pathogen Xanthomonas albilineans, responsible for causing sugar cane’s destructive leaf scald disease. The toxin is believed to aid the pathogen’s spread by attacking the plant. Albicidin has been shown to be highly effective against harmful bacteria, including drug-resistant superbugs such as E. coli and S. aureus.

Despite its antibiotic potential and low toxicity in pre-clinical experiments, pharmaceutical development of albicidin has been hampered because scientists did not know precisely how it interacted with its target, the bacterial enzyme DNA.

Feb 11, 2023

Scientists Transplant Human Brain Organoids Into Adult Rats — And They Respond to Visual Stimuli

Posted by in categories: biotech/medical, neuroscience

In a study published in the journal Cell Stem Cell on February 2, researchers show that brain organoids—clumps of lab-grown neurons—can integrate with rat brains and respond to visual stimulation like flashing lights.

Decades of research has shown that we can transplant individual human and rodent neurons into rodent brains, and, more recently, it has been demonstrated that human brain organoids can integrate with developing rodent brains. However, whether these organoid grafts can functionally integrate with the visual system of injured adult brains has yet to be explored.

“We focused on not just transplanting individual cells, but actually transplanting tissue,” says senior author H. Isaac Chen, a physician and Assistant Professor of Neurosurgery at the University of Pennsylvania. “Brain organoids have architecture; they have structure that resembles the brain. We were able to look at individual neurons within this structure to gain a deeper understanding of the integration of transplanted organoids.”

Feb 11, 2023

Developing Smarter, Faster Machine Intelligence with Light

Posted by in categories: biotech/medical, internet, robotics/AI, security

SUMMARY Researchers at the George Washington University, together with researchers at the University of California, Los Angeles, and the deep-tech venture startup Optelligence LLC, have developed an optical convolutional neural network accelerator capable of processing large amounts of information, on the order of petabytes, per second. This innovation, which harnesses the massive parallelism of light, heralds a new era of optical signal processing for machine learning with numerous applications, including in self-driving cars, 5G networks, data-centers, biomedical diagnostics, data-security and more.

THE SITUATION Global demand for machine learning hardware is dramatically outpacing current computing power supplies. State-of-the-art electronic hardware, such as graphics processing units and tensor processing unit accelerators, help mitigate this, but are intrinsically challenged by serial data processing that requires iterative data processing and encounters delays from wiring and circuit constraints. Optical alternatives to electronic hardware could help speed up machine learning processes by simplifying the way information is processed in a non-iterative way. However, photonic-based machine learning is typically limited by the number of components that can be placed on photonic integrated circuits, limiting the interconnectivity, while free-space spatial-light-modulators are restricted to slow programming speeds.

THE SOLUTION To achieve a breakthrough in this optical machine learning system, the researchers replaced spatial light modulators with digital mirror-based technology, thus developing a system over 100 times faster. The non-iterative timing of this processor, in combination with rapid programmability and massive parallelization, enables this optical machine learning system to outperform even the top-of-the-line graphics processing units by over one order of magnitude, with room for further optimization beyond the initial prototype.

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