Lifeboat Foundation

I am waiting for tricorders.

The idea of visiting the doctor’s office with symptoms of an illness and leaving with a scientifically confirmed diagnosis is much closer to reality because of new technology developed by researchers at McMaster University.

Engineering, biochemistry and medical researchers from across campus have combined their skills to create a hand-held rapid test for bacterial infections that can produce accurate, reliable results in less than an hour, eliminating the need to send samples to a lab.

Continue reading “No lab required: New technology can diagnose infections in minutes” »

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Last July, NASA successfully launched the Mars Perseverance rover into space. After traveling for 203 days and 300 million miles at the speed of about 24600 miles per hour, NASA Perseverance Rover landed on Mars on February 18, 2021. Today, the top speed ever reached by NASA ion thruster-powered spacecraft is 200000 mph.

Continue reading “Antimatter rocket is a future spacecraft that could reach the speed of 72 million miles per hour” »

These results suggest that IL-12 and IFN-γ could one day be measured along with other biomarkers to predict future brain health in cognitively normal people–a tool that doesn’t yet exist in medicine.

Summary: Higher levels of two cytokines were associated with slower cognitive decline in aging adults, a new study reports.

Source: Mass General

Continue reading “Inflammatory Proteins May Slow Cognitive Decline in Aging Adults” »

The Environmental Protection Agency (EPA) will reconsider decisions underlying a rule governing emissions of a chemical that it has deemed carcinogenic following a request from an industry group.

The agency told stakeholders in letters dated last week that it would reconsider its risk information for ethylene oxide, a chemical the EPA currently says is carcinogenic if it is inhaled.

The EPA also said it would reconsider its prior decision not to use a much lower risk finding from the state of Texas as an alternative risk value.

Circa 2020

Self-propelling magnetic nanorobots capable of intrinsic-navigation in biological fluids with enhanced pharmacokinetics and deeper tissue penetration implicates promising strategy in targeted cancer therapy. Here, multi-component magnetic nanobot designed by chemically conjugating magnetic Fe3O4 nanoparticles (NPs), anti-epithelial cell adhesion molecule antibody (anti-EpCAM mAb) to multi-walled carbon nanotubes (CNT) loaded with an anticancer drug, doxorubicin hydrochloride (DOX) is reported. Autonomous propulsion of the nanobots and their external magnetic guidance is enabled by enriching Fe3O4 NPs with dual catalytic-magnetic functionality. The nanobots propel at high velocities even in complex biological fluids. In addition, the nanobots preferably release DOX in the intracellular lysosomal compartment of human colorectal carcinoma (HCT116) cells by the opening of Fe3O4 NP gate.

All plant cells obtain their energy mainly from two organelles they contain—chloroplasts (responsible for photosynthesis) and mitochondria (responsible for the biochemical cycle of respiration that converts sugars into energy). However, a large number of a plant cell’s genes in its mitochondria and chloroplasts can develop defects, jeopardizing their function. Nevertheless, plant cells evolved an amazing tool called the RNA editosome (a large protein complex) to repair these kinds of errors. It can modify defective messenger RNA that result from defective DNA by transforming (deamination) of certain mRNA nucleotides.

Automatic error correction in plant cells

Automatic error correction in plants was discovered about 30 years ago by a team headed by plant physiologist Axel Brennicke and two other groups simultaneously. This mechanism converts certain cytidine nucleotides in the messenger RNA into uridine in order to correct errors in the chloroplast DNA or mitochondrial DNA. RNA editing is therefore essential to processes such as photosynthesis and cellular respiration in plants. Years later, further studies showed that a group of proteins referred to as PPR proteins with DYW domains play a central role in plant RNA editing. These PPR proteins with DYW domains are transcribed in the cell nucleus and migrate through the cells to chloroplasts and mitochondria. However, they are inactive on their way to these organelles. Only once they are within the organelles do they become active and execute their function at a specific mRNA site. How this activation works, however, has been a mystery until now.

Most cases of Parkinson’s disease are considered idiopathic – they lack a clear cause. Yet researchers increasingly believe that one factor is environmental exposure to trichloroethylene (TCE), a chemical compound used in industrial degreasing, dry-cleaning and household products such as some shoe polishes and carpet cleaners.

To date, the clearest evidence around the risk of TCE to human health is derived from workers who are exposed to the chemical in the work-place. A 2008 peer-reviewed study in the Annals of Neurology, for example, found that TCE is “a risk factor for parkinsonism.” And a 2011 study echoed those results, finding “a six-fold increase in the risk of developing Parkinson’s in individuals exposed in the workplace to trichloroethylene (TCE).”

Dr Samuel Goldman of The Parkinson’s Institute in Sunnyvale, California, who co-led the study, which appeared in the Annals of Neurology journal, wrote: “Our study confirms that common environmental contaminants may increase the risk of developing Parkinson’s, which has considerable public health implications.” It was off the back of studies like these that the US Department of Labor issued a guidance on TCE, saying: “The Board recommends […] exposures to carbon disulfide (CS2) and trichloroethylene (TCE) be presumed to cause, contribute, or aggravate Parkinsonism.”

Light-driven molecular motors have been around for over 20 years. These motors typically take microseconds to nanoseconds for one revolution. Thomas Jansen, associate professor of physics at the University of Groningen, and Master’s student Atreya Majumdar have now designed an even faster molecular motor. The new design is driven by light only and can make a full turn in picoseconds using the power of a single photon. Jansen says, “We have developed a new out-of-the-box design for a motor molecule that is much faster.” The design was published in The Journal of Physical Chemistry Letters on 7 June.

The new motor molecule design started with a project in which Jansen wanted to understand the energy landscape of excited chromophores. “These chromophores can attract or repel each other. I wondered if we could use this to make them do something,” explains Jansen. He gave the project to Atreya Majumdar, then a first-year student in the Top Master’s degree program in Nanoscience in Groningen. Majumdar simulated the interaction between two chromophores that were connected to form a single molecule.

As the number of qubits in early quantum computers increases, their creators are opening up access via the cloud. IBM has its IBM Q network, for instance, while Microsoft has integrated quantum devices into its Azure cloud-computing platform. By combining these platforms with quantum-inspired optimisation algorithms and variable quantum algorithms, researchers could start to see some early benefits of quantum computing in the fields of chemistry and biology within the next few years. In time, Google’s Sergio Boixo hopes that quantum computers will be able to tackle some of the existential crises facing our planet. “Climate change is an energy problem – energy is a physical, chemical process,” he says.

“Maybe if we build the tools that allow the simulations to be done, we can construct a new industrial revolution that will hopefully be a more efficient use of energy.” But eventually, the area where quantum computers might have the biggest impact is in quantum physics itself.

The Large Hadron Collider, the world’s largest particle accelerator, collects about 300 gigabytes of data a second as it smashes protons together to try and unlock the fundamental secrets of the universe. To analyse it requires huge amounts of computing power – right now it’s split across 170 data centres in 42 countries. Some scientists at CERN – the European Organisation for Nuclear Research – hope quantum computers could help speed up the analysis of data by enabling them to run more accurate simulations before conducting real-world tests. They’re starting to develop algorithms and models that will help them harness the power of quantum computers when the devices get good enough to help.