University of Cambridge, UK - Scientists Grow “Synthetic” Embryo With Brain and Beating Heart – Without Eggs or Sperm [SciTechDaily, August 2022]

Title:

Scientists Grow “Synthetic” Embryo With Brain and Beating Heart – Without Eggs or Sperm

 

By:

University of Cambridge, UK

 

Published:

SciTechDaily, 27 August 2022

https://scitechdaily.com/scientists-grow-synthetic-embryo-with-brain-and-beating-heart-without-eggs-or-sperm/

 

From the article:

Scientists from the University of Cambridge have created model embryos from mouse stem cells that form a brain, a beating heart, and the foundations of all the other organs of the body. It represents a new avenue for recreating the first stages of life. 

 

ALSO SEE

 

“Synthetic embryos complete gastrulation to neurulation and organogenesis” by Gianluca Amadei, Charlotte E. Handford, Chengxiang Qiu, Joachim De Jonghe, Hannah Greenfeld, Martin Tran, Beth K. Martin, Dong-Yuan Chen, Alejandro Aguilera-Castrejon, Jacob H. Hanna, Michael Elowitz, Florian Hollfelder, Jay Shendure, David M. Glover and Magdalena Zernicka-Goetz, 25 August 2022, Nature. 

DOI: 10.1038/s41586-022-05246-3 

University of Cambridge & University of Oslo - Mathematical paradoxes demonstrate the limits of artificial intelligence (AI) [Tech Xplore, March 2022]

Title:

Mathematical paradoxes demonstrate the limits of AI

 

By:

University of Cambridge

 

Published:

Tech Xplore, 17 March 2022

https://techxplore.com/news/2022-03-mathematical-paradoxes-limits-ai.html

 

From the article:

Researchers from the University of Cambridge and the University of Oslo say that instability is the Achilles' heel of modern AI and that a mathematical paradox shows AI's limitations. Neural networks, the state of the art tool in AI, roughly mimic the links between neurons in the brain. The researchers show that there are problems where stable and accurate neural networks exist, yet no algorithm can produce such a network. Only in specific cases can algorithms compute stable and accurate neural networks.  

 

The researchers propose a classification theory describing when neural networks can be trained to provide a trustworthy AI system under certain specific conditions. Their results are reported in the Proceedings of the National Academy of Sciences.

 

University of Cambridge, UK - Scientists Build Molecule-Sized “Camera” To Watch Chemical Reactions in Real-Time [The Byte, September 2021]

Title:

Scientists Build Molecule-Sized “Camera” To Watch Chemical Reactions in Real-Time 

 

Author:

Dan Robitzski

Published:

The Byte, 3 September 2021

https://futurism.com/the-byte/molecule-sized-camera-watch-chemical-reactions-in-real-time

 

From the article:

University of Cambridge scientists have gotten an unprecedented glimpse at chemical reactions in real-time, thanks to a new molecule-sized “camera.” 

 

The device offers a far simpler way of monitoring how various chemical compounds form during reactions than the methods currently available to scientists, and the team that built the “camera” says it’s already using it to improve the technology behind solar cells.

University of Cambridge - Scientists use gene therapy to regenerate damaged optic nerve fibers in the eye

Title:

Scientists use gene therapy to regenerate damaged optic nerve fibers

 

Published:

News Medical Life Sciences, 5 November 2020

https://www.news-medical.net/news/20201105/Scientists-use-gene-therapy-to-regenerate-damaged-optic-nerve-fibers.aspx

 

From the article:

Scientists have used gene therapy to regenerate damaged nerve fibers in the eye, in a discovery that could aid the development of new treatments for glaucoma, one of the leading causes of blindness worldwide.

Research led by University of Cambridge - Star-Shaped Protein Once Thought "Undruggable" Is Target of Alzheimer's Study

Title:

Star-Shaped Protein Once Thought "Undruggable" Is Target of Alzheimer's Study

 

Source:

Original story from the University of Cambridge

 

Published:

Technology Networks, 5 November 2020

https://www.technologynetworks.com/neuroscience/news/star-shaped-protein-once-thought-undruggable-is-new-target-in-alzheimers-disease-342449

 

From the article:

A new study suggests that it is possible to design drugs that can target a type of shape-shifting protein involved in Alzheimer's disease, which was previously thought to be undruggable.  

 

A team of researchers, led by the University of Cambridge, have identified a new mechanism of targeting amyloid-beta, a protein fragment that clumps together and kills healthy brain cells in people with Alzheimer's disease.

University of Cambridge - Cambridge researcher named to Time 100 list of world's most influential people

Title:

Cambridge researcher named to Time 100 list of world's most influential people

 

Published:

University of Cambridge, 23 September 2020

https://www.cam.ac.uk/research/news/cambridge-researcher-named-to-time-100-list-of-worlds-most-influential-people

 

From the article:

Professor Ravi Gupta has been named today as one of Time Magazine’s 100 Most Influential People of the Year, in recognition of his work to bring about the second-ever cure of a patient with HIV.

 

University of Cambridge - Cambridge researchers create a touchscreen you don’t have to touch

Title:
Cambridge researchers create a touchscreen you don’t have to touch

Author:
Shane McGlaum

Published:
Slash Gear, 24 July 2020
https://www.slashgear.com/cambridge-researchers-create-a-touchscreen-you-dont-have-to-touch-24630475/

From the article:
Researchers from the University of Cambridge have been working on a new type of touchscreen that doesn’t have to be touched. It’s called the “no-touch touchscreen” and was developed specifically for use in cars. Researchers believe that it could have widespread applications in the post-COVID-19 world thanks to its ability to reduce the risk pathogen transmission from the surface of devices. The patent behind the technology is known as “predictive touch” and was developed as part of research collaboration with Jaguar Land Rover.

University of Cambridge & Ghent University - An ancient Roman city has been fully mapped using ground-penetrating radar

Title:
An ancient Roman city has been fully mapped using ground-penetrating radar

Author:
Jennifer Ouellette

Published:
Arstechnica, 14 June 2020
https://arstechnica.com/science/2020/06/an-ancient-roman-city-has-been-fully-mapped-using-ground-penetrating-radar/

From the article:
Falerii Novi was once a walled town just north of Rome, likely founded around 241 BC as a relocation site for a Falisci tribe that had rebelled against the Romans. Located on a volcanic plateau, archaeologists surmise that the new site was chosen because it wasn't as easy to defend, thereby discouraging further uprisings. There were likely some 2,500 residents during the third and fourth centuries BC. The ruins are deep underground, but a team of archaeologists from the University of Cambridge and Ghent University in Belgium have used ground-penetrating radar (GPR) to map the complete city. They described their findings in a recent paper in the journal Antiquity.