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Newswise — Most of modern medicine has physical tests or objective techniques to define much of what ails us. Yet, there is currently no blood or genetic test, or impartial procedure that can definitively diagnose a mental illness, and certainly none to distinguish between different psychiatric disorders with similar symptoms. Experts at the University of Tokyo are combining machine learning with brain imaging tools to redefine the standard for diagnosing mental illnesses.

“Psychiatrists, including me, often talk about symptoms and behaviors with patients and their teachers, friends and parents. We only meet patients in the hospital or clinic, not out in their daily lives. We have to make medical conclusions using subjective, secondhand information,” explained Dr. Shinsuke Koike, M.D., Ph.D., an associate professor at the University of Tokyo and a senior author of the study recently published in Translational Psychiatry.

“Frankly, we need objective measures,” said Koike.

Health officials have confirmed a case of plague at South Lake Tahoe — the first in California in five years.

El Dorado County officials said Monday that the California Department of Public Health had notified them of the positive test of a resident who is under medical care while recovering at home.

Plague bacteria are most often transmitted by fleas that have acquired it from infected squirrels, chipmunks and other wild rodents. Dogs and cats may also carry plague-infected fleas.

Think you don’t need to worry about COVID-19 while using a public restroom? A group of researchers from Yangzhou University in China recently reported that flushing public restroom toilets can release clouds of virus-laden aerosols for you to potentially inhale.

If that’s not cringeworthy enough, after running additional computer simulations, they’ve concluded that flushing urinals does likewise. In Physics of Fluids, the group shares its work simulating and tracking virus-laden particle movements when urinals are flushed.

The researchers’ work clearly shows public restrooms can be dangerous places for potentially becoming infected from a virus, especially during the COVID-19 pandemic. Other work has shown that both feces- and urine-based virus transmission is possible.

Ogba Educational Clinic


Long before coronavirus appeared and shattered our pre-existing “normal,” the future of work was a widely discussed and debated topic. We’ve watched automation slowly but surely expand its capabilities and take over more jobs, and we’ve wondered what artificial intelligence will eventually be capable of.

The pandemic swiftly turned the working world on its head, putting millions of people out of a job and forcing millions more to work remotely. But essential questions remain largely unchanged: we still want to make sure we’re not replaced, we want to add value, and we want an equitable society where different types of work are valued fairly.

To address these issues—as well as how the pandemic has impacted them—this week Singularity University held a digital summit on the future of work. Forty-three speakers from multiple backgrounds, countries, and sectors of the economy shared their expertise on everything from work in developing markets to why we shouldn’t want to go back to the old normal.

Aside from staying alive and healthy, the biggest concern most people have during the pandemic is the future of their jobs. Unemployment in the U.S. has skyrocketed, from 5.8 million in February 2020 to 16.3 million in July 2020, according to the U.S. Bureau of Labor Statistics. But it’s not only the lost jobs that are reshaping work in the wake of COVID-19; the nature of many of the remaining jobs has changed, as remote work becomes the norm. And in the midst of it all, automation has become potentially a threat to some workers and a salvation to others. In this issue, we examine this tension and explore the good, bad, and unknown of how automation could affect jobs in the immediate and near future.

Prevailing wisdom says that the wave of new AI-powered automation will follow the same pattern as other technological leaps: They’ll kill off some jobs but create new (and potentially better) ones. But it’s unclear whether that will hold true this time around. Complicating matters is that at a time when workplace safety has to do with limiting the spread of a deadly virus, automation can play a role in reducing the number of people who are working shoulder-to-shoulder — keeping workers safe, but also eliminating jobs.

Even as automation creates exciting new opportunities, it’s important to bear in mind that those opportunities will not be distributed equally. Some jobs are more vulnerable to automation than others, and uneven access to reskilling and other crucial factors will mean that some workers will be left behind.

Liquid blood and urine were found inside the 42,000-yr-old foal. The oldest blood ever found by 10,000 years!


It made headlines in 2018 when researchers discovered the frozen remains of a foal that died 42,000 years ago in the Verkhoyansk region of Siberia, miraculously preserved in permafrost. But now an even more startling announcement has been made: Liquid blood and urine were found inside of the foal.

In an interview given to the Siberian Times, Semyon Grigoryev, head of the Mammoth Museum in Yakutsk, said, “The autopsy shows beautifully preserved internal organs. Samples of liquid blood were taken from heart vessels — it was preserved in the liquid state for 42,000 years thanks to favorable burial conditions and permafrost. The muscle tissues preserved their natural reddish color.”

Grigorvev then made the statement which is reverberating throughout the scientific community: “We can now claim that this is the best-preserved Ice Age animal ever found in the world.”

First, we found that every cancer organoid retains the properties of the tissue of origin, so this shows that if the samples were obtained from the surgery of a colon or pancreatic cancer, the organoid closely resembles the original primary tumor. Second, we discovered that there is no contamination of normal cells, thus, the malignant pure transformed cells can be analyzed without interferences. And finally, the 3D organoid cancers are closer to the patient tumors than the commonly used 2-D cell lines.


Scientists have used 3D models to break down the DNA behavior of cancer cells, in a breakthrough new study which could revolutionize treatment for the disease.

In what is a first for science, a research team led by Dr. Manel Esteller, Director of the Josep Carreras Leukaemia Research Institute (IJC), demonstrated how 3D models (known as organoids) can now be used to develop a characterization of the DNA make-up—or the epigenetic fingerprint—of human cancer.

Pubished in Epigenetics, the research validates the use of these 3D samples for cancer research that could deliver new oncology treatments.

“How would you like to be known as the neurosurgeon who cured Parkinson’s disease?”


A month before the scheduled surgery, the four researchers were ready to chaperone the brain cells on their 190-mile journey. They never anticipated they were in for “The Amazing Race”-meets-“ER.”

It was after midnight on a late summer night in 2017, and they had less than eight hours to get the cells by ambulance, private plane, and another ambulance from Dana-Farber Cancer Institute in Boston to Weill Cornell Medical Center in Manhattan. If it took longer, the cells would almost certainly be DOA, and so might the researchers’ plan to carry out an experimental transplant surgery unprecedented in the annals of medicine: replacing the dysfunctional brain cells of a Parkinson’s disease patient with the progeny of an extraordinary type of stem cell. Created in the lab from a patch of the patient’s own skin, these cells, it was hoped, would settle into the brain like they belonged there and permanently restore the patient’s ability to walk and move normally.

If successful, the surgery could forever change Parkinson’s disease, from an inexorable, cruel, and sometimes fatal decline to — for at least some patients — a condition that can be successfully treated.

When drugs to kill microbes are ineffective, host-directed therapy uses the body’s own immune system to deal with the infection. This approach is being tested in patients with COVID-19, and now a team of researchers at Trinity College Dublin has published a study showing how it might also work in the fight against tuberculosis (TB). The findings are published in the journal Frontiers in Immunology.

Although the bacteria that causes TB (called Mtb) has scourged humankind for millennia, we do not fully understand the complexities and interplay of the human to this ancient bug. Worryingly, there are increasing numbers of people with antibiotic resistant TB, which is hard to treat and is becoming a global threat to .

Scientists at the Trinity Translational Medicine Institute (TTMI) at St. James’s Hospital are dedicated to understanding the intricacies of the human immune response to Mtb with the aim of finding ways to target and promote the immune response to overcome the infection. Scientists already know that the human immune response can both under or over respond to the bacteria resulting in a difficulty to treat the disease. This complex immune response is analogous to driving with both the accelerator and the brakes fully engaged at the same time.