Lifeboat Foundation

Today [August 13] the US National Academy of Sciences is hosting the first meeting of the International Commission on the Clinical Use of Human Germline Genome Editing in Washington, to discuss controversial applications of CRISPR to human eggs, sperm, or fertilized ova, in the wake of Chinese researcher He Jiankui announcing the birth of CRISPR twins after a similar meeting in 2017 (See Do China’s controversial CRISPR babies illustrate the need for an undo button?)

Although only one clinical trial is up-and-running for CRISPR to treat body cells, with an initial patient making the media rounds just last week to discuss her cells doctored to counter sickle cell disease, many other applications are in preclinical testing — animal models and human cells and organoids. And they’re not restricted to rare diseases.

Imagine a single injection that quells the inflammation behind lower back pain — perhaps forever. CRISPR may make that possible by dampening the immune system’s cytokine signals, according to a report in the July issue of Human Gene Therapy.

The technology that produced a global scandal in China last year has entered into clinical trials to treat sickle cell anemia and an eye disease.

Today, we’re releasing another keynote from Ending Age-Related Diseases 2019, our highly successful two-day conference that featured talks from leading researchers and investors, bringing them together to discuss the future of aging and rejuvenation biotechnology.

In his talk, Estimating the True Complexity of Comprehensive Rejuvenation, the famous Aubrey de Grey of SENS Research Foundation discussed the intricacies of creating a complete rejuvenation biotechnology framework, including the differing rates of age-related damage and the ramifications of the extensive crosstalk between different types of this damage.

New successes in printing vascular tissue from living cells point to the accelerating pace of development of 3D-printing tissue — and eventually the ability to manufacture organs from small samples of cells.

Late last month Prellis Biologics announced an $8.7 million round of funding and some significant advancements that point the way forward for 3D-printed organs while a company called Volumetric Bio based on research from a slew of different universities unveiled significant progress of its own earlier this year.

Continue reading “3D-printing organs moves a few more steps closer to commercialization” »

Nevertheless, to date, most of the wealth generated by advances in A.I. and robotics has been acquired by the executives of technology companies. It’s time for the benefits of the A.I. revolution to be broadly distributed through an expanded social safety net.

Unfortunately, members of Congress are taking the opposite path and have proposed cuts to a range of social programs. Several hundred thousand people arrived in Washington on Saturday to protest these cuts. During the demonstration, masked agitators threw rocks at the autonomous drones deployed for crowd control; in response, drones dispensed pepper spray on the protesters below, causing a stampede. More than 20 people were injured and treated at local hospitals; one protester died of his injuries on Monday. The police detained 35 people at the scene; 25 more arrests have been made since then, after authorities used facial recognition technology to identify protesters from surveillance video.

Punishing the poor who were harmed by economic disruptions has been a mistake repeated throughout American history. During the Industrial Revolution, machines displaced many artisans and agricultural workers. To deter these unemployed workers from seeking public relief, local governments set up poorhouses that required residents to perform hard labor. And between 1990 and 2020, the federal government — and some state governments — repeatedly cut social program spending even as middle-class jobs disappeared as a result of outsourcing and automation. Workers who didn’t have the skills to thrive in the knowledge economy were resigned to join the underclass of service workers.

Faculty engaged in microbiome research across campus have previously shown that our microbiome plays a key role in defining human health. For example, microbial dysfunction in the infant gut – characterized by the enrichment of particular microbial genes and their products – drive immune dysfunction and can be used to predict the development of allergy and asthma in childhood. Perturbed microbial ecosystems across the human body have been linked to autoimmune disease, metabolic syndromes such as obesity and diabetes, skin diseases, and even multiple sclerosis. Gut microbes can even contribute to metabolizing drugs and influence how much enters the circulation.

Leveraging this expertise and collaborations with UCSF Benioff Children’s Hospitals in Oakland and San Francisco and institutions nationwide, the UCSF Benioff Center for Microbiome Medicine aims to develop a holistic understanding of our earliest interactions with microbes in utero, through birth, and in early life. These efforts aim to find ways of predicting and preventing not only asthma and allergy, but other childhood diseases – including dermatological, gastrointestinal, respiratory and neurological disorders.

“At the same time that we are developing therapeutic strategies to restore microbial ecosystems once they have been damaged,” Lynch said. “We also need to find ways to intervene in at-risk populations in very early life to prevent chronic diseases before they start.”

S cientists are very careful about claiming that no one else has ever done something before — the last thing they need is some overlooked lab saying, um, right here! — but researchers at Massachusetts General Hospital are confident they’re on solid ground. Their high-resolution MRIs of a complete, intact human brain, they say, are “unprecedented.”

Other labs have sliced up brains and seen features down to 80 or even 50 microns. (One micron is a 10,000th of a centimeter, and 75 of them is about the width of a human hair.) The MGH team got 100-micron resolution in a whole brain, producing the most detailed three-dimensional images of an intact brain ever seen.

The scientists started with an MRI machine with a 7-tesla magnet, a significantly stronger magnetic field than the 0.5-to-3 teslas of most MRIs in clinical use, which optimized the signal-to-noise ratio. But they also built custom state-of-the-art software that, depending which physics parameters it directs the MRI to optimize, reveals particular features of the tissue, from tiny bleeds to swelling to white and gray matter.

Scientists have developed an automated tool for mapping the movement of particles inside cells that may accelerate research in many fields, a new study in eLife reports.

The movements of tiny molecules, proteins and cellular components throughout the body play an important role in health and disease. For example, they contribute to brain development and the progression of some diseases. The new tool, built with cutting-edge machine learning technology, will make tracking these movements faster, easier and less prone to bias.

Currently, scientists may use images called kymographs, which represent the movement of particles in time and space, for their analyses of particle movements. These kymographs are extracted from time-lapse videos of particle movements recorded using microscopes. The analysis needs to be done manually, which is both slow and vulnerable to unconscious biases of the researcher.

A team of scientists from MIT and Rice University recently discovered a new method for creating qubits that could revolutionize both quantum computing and cancer research – and all it takes is some household bleach and a UV light.

Qubits are the basic units of information used in quantum computing. Typically, when scientists create them they go through a complex process involving lasers or shearing single photons off of light using complex, difficult-to-work-with reactants that produce unwanted side-effects. These time consuming methods often require trial-and-error and seldom produce perfect results.