Lifeboat Foundation

Early November 2018, Conrad Holton visited Japan at the invitation of Hamamatsu Photonics to attend the three-day Photon Fair, the company’s big event looking at its technologies and vision for the future. The Fair is held every five years near its headquarters in Hamamatsu City, about 150 miles southwest of Tokyo. In addition to thousands of customers, suppliers, and students who attended, the event was open to the public for one day to show the many technologies just emerging from the company’s research labs and how these technologies might impact fields ranging from the life sciences to transportation and manufacturing.

An interview with the CEO of Hamamatsu Photonics shows how an engineering company with a singular focus on photonics can succeed.

Researchers have achieved a new kind of chimeric first, producing sheep-human hybrid embryos that could one day represent the future of organ donation – by using body parts grown inside unnatural, engineered animals. Scientists have created the first interspecies sheep-human chimera, introducing human stem cells into sheep embryos, resulting in a hybrid creature that’s more than 99 percent sheep – but also a tiny, little bit like you and me.

Admittedly, the human portion of the embryos created in the experiment – before they were destroyed after 28 days – is exceedingly small, but the fact it exists at all is what generates considerable controversy in this field of research.

Continue reading “Scientists Created The First Successful Human-Animal Hybrids” »

How might the process be used in the future?

Due to advancements in genetic engineering, the researchers say they&s;re able to reprogram bacteria and create mutations in cell surfaces with “vast diversity.”

“By combining genetic tools (for creating mutations) with our microfluidic screening (for selection), we have the vision to mutate cells and then pick out the best candidates for electron transfer.”

Continue reading “New Technique Could Put Electricity-Producing Bacteria To Work” »

You can now perform CRISPR gene-editing in your kitchen!

Artificial intelligence, or AI is something we hear a lot about today. In this interview with Life.

Extension’s Michael A. Smith, MD, Kristen Willeumier, PhD, provides some insight into AI technology and its relationship with psychiatry which, along with neurology, studies and treats diseases of the brain. Dr. Smith predicts that AI will soon be an important part of how we understand and treat disease. According to Dr. Willeumier, some of that technology is now “ready for prime time.” Download this Live Foreverish podcast episode for FREE on iTunes!

Artificial intelligence is, simply, the intelligence of machines as opposed to human or animal intelligence. According to the New World Encyclopedia™, “Artificial intelligence (AI) is a branch of computer science and engineering that deals with intelligent behavior, learning, and adaptation in machines. John McCarthy coined the term to mean ‘the science and engineering of making intelligent machines.’”.

Continue reading “Machine Learning and Medicine: Is AI the Future of Psychiatry?” »

Biologists have demonstrated for the first time that a controversial genetic engineering technology works, with caveats, in mammals.

A Chinese scientist who created what he said were the world’s first “gene-edited” babies evaded oversight and broke ethical boundaries in a quest for fame and fortune, state media said on Monday, as his former university said he had been fired.

He Jiankui said in November that he used a gene-editing technology known as CRISPR-Cas9 to alter the embryonic genes of twin girls born that month, sparking an international outcry about the ethics and safety of such research.

Hundreds of Chinese and international scientists condemned He and said any application of gene editing on human embryos for reproductive purposes was unethical.

Continue reading “Chinese scientist who gene-edited babies fired” »

Mention artificial intelligence (AI) or artificial neural networks, and images of computers may come to mind. AI-based pattern recognition has a wide variety of real-world uses, such as medical diagnostics, navigation systems, voice-based authentication, image classification, handwriting recognition, speech programs, and text-based processing. However, artificial intelligence is not limited to digital technology and is merging with the realm of biology—synthetic biology and genomics, to be more precise. Pioneering researchers led by Dr. Lulu Qian at the California Institute of Technology (Caltech) have created synthetic biochemical circuits that are able to perform information processing at the molecular level–an artificial neural network consisting of DNA instead of computer hardware and software.

Artificial intelligence is in the early stages of a renaissance period—a rebirth that is largely due to advances in deep learning techniques with artificial neural networks that have contributed to improvements in pattern recognition. Specifically, the resurgence is largely due to a mathematical tool that calculates derivatives called backpropagation (backward propagation)—it enables artificial neural networks to adjust hidden layers of neurons when there are outlier outcomes for more precise results.

Artificial neural networks (ANN) are a type of machine learning method with concepts borrowed from neuroscience. The structure and function of the nervous system and brain were inspiration for artificial neural networks. Instead of biological neurons, ANNs have artificial nodes. Instead of synapses, ANNs have connections that are able to transmit signals between nodes. Like neurons, the nodes of ANNs are able to receive and process data, as well as activate other nodes connected to it.

Continue reading “AI Created in DNA-Based Artificial Neural Networks” »

Using a modular construction kit of tailor-made cell systems, the researchers hope to simulate various properties of biological systems in the future. The idea is that cells react to their environment and learn to act independently.

The first applications are already on the horizon: In the long term, artificial cell assemblies can be deployed as mini-factories to produce specific biomolecules, or as tiny micro-robot sensors that process information and adapt to their environments.