An Anti-cancer Drug in Short Supply Can Now be Made by Microbes

Thanks to a leap forward in synthetic biology, the plant-derived chemotherapy vinblastine has a new source

Saccharomyces cerevisiae, also known as brewer’s yeast, is seen under a microscope. This species is used around the world to make food and beverages. Easily cultured with a well-known genome, the species has also become a favorite of synthetic biologists for making natural products that are difficult to obtain from their native sources. 

Newswise — The supply of a plant-derived anti-cancer drug can finally meet global demand after a team of scientists from Denmark and the U.S. engineered yeast to produce the precursor molecules, which could previously only be obtained in trace concentrations in the native plant. A study describing the breakthrough was published today in Nature. 

“The yeast platform we developed will allow environmentally friendly and affordable production of vinblastine and the more than 3,000 other molecules that are in this family of natural products,” said project co-leader Jay Keasling, a senior faculty scientist at Lawrence Berkeley National Laboratory and scientific director at the Novo Nordisk Foundation Center for Biosustainability (DTU Biosustain). “In addition to vinblastine, this platform will enable production of anti-addiction and anti-malarial therapies as well as treatments for many other diseases.” Keasling is a biochemical engineer who helped launch the now-booming field of synthetic biology when his team successfully transferred the genetic pathway to produce an antimalarial drug, artemisinin, from an herb called sweet wormwood to the laboratory workhorse microbe, E. coli. He is also a professor of Chemical & Biomolecular Engineering at UC Berkeley. 

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Microgravity Testing Advances Space-Based Printing of Electronics

Space Foundry printed electrodes that could be used in space-based biological and chemical sensors on parabolic flights in Nov. and Dec. 2021 and June 2022. 

By Keith Cowing

As NASA prepares to send astronauts back to the Moon to live and explore, capabilities for space-based manufacturing of sensors, circuits, and other electronics will become increasingly critical. Recent microgravity flights have helped to advance cutting-edge methods for 3D printing of electronics by teams from San Jose, California-based Space Foundry and Iowa State University in Ames, supported by NASA’s Flight Opportunities and Small Business Innovation Research (SBIR) programs.

A vast range of future scenarios could benefit from electronics printed in space – from radiation sensors printed onto the walls of lunar habitats, to printing solar panels on the Moon’s surface, to gas and biosensors for use on the International Space Station. The capability to print electroinics in space is critical to the NASA mission and testing the ability to print electorincs in microgravity on Earth first is an important step in the maturation of technology.

“In terms of electronics, there are so many critical needs for which we must enable reliable in-space manufacturing, because we simply cannot anticipate and carry with us all of the sensors and circuits that we might need for a given mission,” said Curtis Hill, senior materials engineer at NASA’s Marshall Space Flight Center and principal investigator for NASA’s On-Demand Manufacturing of Electronics (ODME) project, part of the agency’s Game Changing Development program. ODME will select electronics manufacturing technologies among systems from Space Foundry, Iowa State, and other organizations for 2024 demonstrations on the space station.

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Quantum Astronomy Could Create Telescopes Hundreds of Kilometers Wide

By Sierra Mitchell 

A few years ago researchers using the radio-based Event Horizon Telescope (EHT) performed an extraordinary observation, the likes of which remains a dream for most other astronomers. The EHT team announced in April 2019 that it had successfully imaged the shadow of a supermassive black hole in a nearby galaxy by combining observations from eight different radio telescopes spread across our planet. This technique, called interferometry, effectively gave the EHT the resolution, or the ability to distinguish sources in the sky, of an Earth-sized telescope. At the optical wavelengths underpinning the gorgeous pictures from the Hubble Space Telescope and many other famed facilities, today’s interferometers can only combine light from instruments that are a few hundred meters apart at most. That may be set to change as astronomers turn to quantum physicists for help to start connecting optical telescopes that are tens, even hundreds, of kilometers away from one another.

Such optical interferometers would rely on advances being made in the field of quantum communications—particularly the development of devices that store the delicate quantum states of photons collected at each telescope. Called quantum hard drives (QHDs), these devices would be physically transported to a centralized location where the data from each telescope would be retrieved and combined with the others to collectively reveal details about some distant celestial object.

This technique is reminiscent of the iconic double-slit experiment, first performed by physicist Thomas Young in 1801, in which light falls on an opaque barrier that has two slits through which it can pass. The light recombines on the other side of the barrier, creating an interference pattern of bright and dark stripes, also known as an interferogram. This works even if individual photons trickle through the slits one by one: over time, the interference pattern will still emerge.

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The AI Vision System Set to Revolutionize Whole Body Scans

Radiologists have long had the capability to scan entire bodies. But identifying all the body’s many internal structures is much harder. Now an AI system can do it instead. 

Whole body imaging is a technique that scans a person’s insides for the early warning signs of heart disease, cancer and other worrying conditions. There are various ways to make these scans but the most common uses x-ray to create images of body slices. A computer then fits the images back together to create a 3D model of the whole body.

This can be used to plan certain types of surgery but it is also offered as a kind of screening service to provide piece of mind to health-conscious individuals—at least that’s the promise. 

The reality is that whole body CT scans are difficult to analyze, not least because it is hard to identify all the different organs from the mass of tissues that make up the human body. So physicians have turned to computer vision systems to do the job instead. 

The task is to identify the organs, structure and bones, as well as their three-dimensional shape using the data from the scan. However, the current crop of algorithms do not work particularly well, say Jakob Wasserthal and colleagues at the University Hospital Basel in Switzerland. 

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This robot ‘works’ in convenience stores in Japan: All you need to know about TX SCARA

TX SCARA robot works, stocking drinks in the refrigerated section of a FamilyMart convenience store in Tokyo

THE MACHINE HAS BEEN DEVELOPED BY TELEXISTENCE, A TOKYO-BASED COMPANY, AND IS DRIVEN BY ITS AI, CALLED GORDON

To make up for shortage of staff, shops across Japan are using ‘TX SCARA’, a small robot with clip-like hands. It has been developed by Telexistence, a Tokyo-based company; in the words of CEO Jin Tomioka, it has been designed to ‘automate all the repetitive jobs and boring jobs done by humans’.

“…that is the direction we are going. And the best way to do that is to use the robots,” Tomioka added.

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Google Just Stepped Up the Game for Text-to-Image AI

Google announced their new text-to-image diffusion model, DreamBooth. This AI-tool can generate a myriad of images of a user’s desired subject in different contexts using the guidance of a text prompt.

“Can you imagine your own dog traveling around the world, or your favorite bag displayed in the most exclusive showroom in Paris? What about your parrot being the main character of an illustrated storybook?”, reads the introduction of the paper.

The key idea for the model is to allow users to create photorealistic renditions of their desired subject instance and bind it with the text-to-image diffusion model. Thus, this tool proves to be effective for synthesising subjects in different contexts.

Google’s DreamBooth takes a moderately different approach when compared to other recently released text-to-image tools like DALL-E2, Stable Diffusion, Imagen, and Midjourney by providing more control of the subject image and then guiding the diffusion model using text based inputs. 

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Why Apple is building two different smartglasses platforms

A new theory is coming into focus: Apple’s first face computer probably won’t be for you. It’ll be for the developers.

By Mike Elgan

A revolution is coming. And even the general public understands it has something to do with headsets, goggles or glasses.

But what is the reality of the coming revolution, exactly? Virtual reality (VR), augmented reality (AR), extended reality (ER), mixed reality (XR)?

Meta CEO Mark Zuckerberg changed the name of his company from “Facebook” to “Meta,” then miraculously convinced the media to refer to all of these realities as “the metaverse.” That marketing miracle also led many to view Zuckerberg as the leader — or, at least, the thought leader — of this new trend.

That’s why people were shocked (and Zuckerberg mocked) when Zuck shared a selfie from Horizon Worlds, Meta’s virtual reality game, as part of its European debut; instead of looking like the future, it looked like the 1990s. He later explained on Instagram that the graphics were “pretty basic”… “taken very quickly to celebrate a launch.”

While Zuckerberg says VR is the future, Apple says AR is the future.

Confusing things further, Apple — the great mainstreamer of major hardware platforms — is expected next year to ship a VR product to be used for AR.

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Therapeutic viruses help turbocharge the immune system against cancer

The illustration shows a cancer cell (center) surrounded by immune T-cells augmented with an oncolytic (cancer-fighting) virus. A new study describes how a combination of immunotherapy and virotherapy, using myxoma virus, provides new hope for patients with treatment resistant cancers.

By Richard Harth

The immune system has evolved to safeguard the body from a wildly diverse range of potential threats. Among these are bacterial diseases, including plague, cholera, diphtheria and Lyme disease, and viral contagions such as influenza, Ebola virus and SARS CoV-2.

Despite the impressive power of the immune system’s complex defense network, one type of threat is especially challenging to combat. This arises when the body’s own native cells turn rogue, leading to the phenomenon of cancer. Although the immune system often engages to try to rid the body of malignant cells, its efforts are frequently thwarted as the disease progresses unchecked.The illustration shows a cancer cell (center) surrounded by immune T-cells augmented with an oncolytic (cancer-fighting) virus. A new study describes how a combination of immunotherapy and virotherapy, using myxoma virus, provides new hope for patients with treatment resistant cancers. 

In new research appearing in the journal Cancer Cell, corresponding authors Grant McFadden, Masmudur Rahman and their colleagues propose a new line of attack that shows promise for treatment-resistant cancers.

The approach involves a combination of two methods that have each shown considerable success against some cancers. The study describes how oncolytic virotherapy, a technique using cancer-fighting viruses, can act in concert with existing immunotherapy techniques, boosting the immune capacity to effectively target and destroy cancer cells. 

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‘Mind-Reading’ Technology Translates Brainwaves into Photos

 By PESALA BANDARA

Researchers are developing “mind-reading” technology that can translate a person’s brainwaves into photographic images. 

In an article published in Nature, researchers at Radboud University in the Netherlands revealed the results from an experiment where they showed photos of faces to two volunteers inside a powerful brain-reading functional magnetic resonance imaging (fMRI) scanner. 

An fMRI scanner is a type of noninvasive brain imaging technology that detects brain activity by measuring changes in blood flow.

As the volunteers looked at the images of faces, the fMRI scanned the activity of neurons in the areas of their brain responsible for vision. 

The researchers then fed this information into a computer’s artificial intelligence (AI) algorithm which could build an accurate image based on the information from the fMRI scan. 

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New approach using CRISPR can engineer massive quantities of cells for therapeutic applications

Reviewed by Emily Henderson, B.Sc.

A new variation of the CRISPR-Cas9 gene editing system makes it easier to re-engineer massive quantities of cells for therapeutic applications. The approach, developed at Gladstone Institutes and UC San Francisco (UCSF), lets scientists introduce especially long DNA sequences to precise locations in the genomes of cells at remarkably high efficiencies without the viral delivery systems that have traditionally been used to carry DNA into cells.

“One of our goals for many years has been to put lengthy DNA instructions into a targeted site in the genome in a way that doesn’t depend on viral vectors,” says Alex Marson, MD, PhD, director of the Gladstone-UCSF Institute of Genomic Immunology and senior author of the new study. “This is a huge step toward the next generation of safe and effective cell therapies.”

In the new paper published in the journal Nature Biotechnology, Marson and his colleagues not only describe the technology but show how it can be used to generate CAR-T cells with the potential to fight multiple myeloma, a blood cancer, as well as to rewrite gene sequences where mutations can lead to rare inherited immune diseases.

“We showed that we can engineer more than one billion cells in a single run, which is well above the number of cells we need to treat an individual patient,” says first author Brian Shy, MD, PhD, a clinical fellow in Marson’s lab.

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Google opens up its experimental AI chatbot for public testing

Google opens up LaMDA to the public, but it’s launching with guardrails that aim to prevent it generating offensive responses.

By Liam Tung

Google has opened up its AI Test Kitchen mobile app to give everyone some constrained hands-on experience with its latest advances in AI, like its conversational model LaMDA.

Google announced AI Test Kitchen in May, along with the second version of LaMDA (Language Model for Dialogue Applications), and is now letting the public test parts of what it believes is the future of human-computer interaction.

AI Test Kitchen is “meant to give you a sense of what it might be like to have LaMDA in your hands,” Google CEO Sunday Pichai said at the time.

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