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A team of researchers from the Harbin Institute of Technology along with partners at the First Affiliated Hospital of Harbin Medical University, both in China, has developed a tiny robot that can ferry cancer drugs through the blood-brain barrier (BBB) without setting off an immune reaction. In their paper published in the journal Science Robotics, the group describes their robot and tests with mice. Junsun Hwang and Hongsoo Choi, with the Daegu Gyeongbuk Institute of Science and Technology in Korea, have published a Focus piece in the same journal issue on the work done by the team in China.

For many years, medical scientists have sought ways to deliver drugs to the brain to treat health conditions such as brain cancers. Because the brain is protected by the skull, it is extremely difficult to inject them directly. Researchers have also been stymied in their efforts by the BBB—a filtering mechanism in the capillaries that supply blood to the brain and that blocks foreign substances from entering. Thus, simply injecting drugs into the bloodstream is not an option. In this new effort, the researchers used a defense cell type that naturally passes through the BBB to carry drugs to the brain.

To build their tiny robots, the researchers exposed groups of white blood cells called neutrophils to tiny bits of magnetic nanogel particles coated with fragments of E. coli material. Upon exposure, the neutrophils naturally encased the tiny robots, believing them to be nothing but E. coli bacteria. The microrobots were then injected into the bloodstream of a test mouse with a cancerous tumor. The team then applied a to the robots to direct them through the BBB, where they were not attacked, as the identified them as normal neutrophils, and into the brain and the tumor. Once there, the robots released their cancer-fighting drugs.

Michael I. Jordan explains why today’s artificial-intelligence systems aren’t actually intelligent.


THE INSTITUTE Artificial-intelligence systems are nowhere near advanced enough to replace humans in many tasks involving reasoning, real-world knowledge, and social interaction. They are showing human-level competence in low-level pattern recognition skills, but at the cognitive level they are merely imitating human intelligence, not engaging deeply and creatively, says Michael I. Jordan, a leading researcher in AI and machine learning. Jordan is a professor in the department of electrical engineering and computer science, and the department of statistics, at the University of California, Berkeley.

He notes that the imitation of human thinking is not the sole goal of machine learning—the engineering field that underlies recent progress in AI—or even the best goal. Instead, machine learning can serve to augment human intelligence, via painstaking analysis of large data sets in much the way that a search engine augments human knowledge by organizing the Web. Machine learning also can provide new services to humans in domains such as health care, commerce, and transportation, by bringing together information found in multiple data sets, finding patterns, and proposing new courses of action.

“People are getting confused about the meaning of AI in discussions of technology trends—that there is some kind of intelligent thought in computers that is responsible for the progress and which is competing with humans,” he says. “We don’t have that, but people are talking as if we do.”

Bipolar disorder affects millions of Americans, causing dramatic swings in mood and, in some people, additional effects such as memory problems.

While bipolar disorder is linked to many genes, each one making small contributions to the disease, scientists don’t know just how those genes ultimately give rise to the disorder’s effects.

However, in new research, scientists at the University of Wisconsin-Madison have found for the first time that disruptions to a particular protein called Akt can lead to the brain changes characteristic of bipolar disorder. The results offer a foundation for research into treating the often-overlooked cognitive impairments of bipolar disorder, such as memory loss, and add to a growing understanding of how the biochemistry of the brain affects health and disease.

A handful of passports are already in the works, including two in Las Vegas. It is not yet clear if any Las Vegas businesses will limit access solely to vaccinated guests.


Las Vegas is no stranger to exclusive VIP lists, but there’s a new way of limiting guest access coming to town: vaccine passports.

These digital credential systems can show whether someone has been vaccinated against COVID-19 and can help businesses limit access to those who have been inoculated. The systems were designed to increase health and safety at various venues, but experts warn of pushback over concerns on privacy and personal choice.

“What we’re seeing throughout the pandemic is people guarding their personal rights, and I think a lot of people will find that intrusive in their day to day,” said Jonathan Day, an associate professor of hospitality and tourism management at Purdue University.

New data from Children’s National Hospital shows parental experience with a number of social determinants of health can ultimately impact brain development in utero, something researchers said should suggest future community health intervention among pregnant people. The data, published in JAMA Network Open, specifically found poorer brain development in fetuses among pregnant people with low socioeconomic status (SES), low educational attainment, and limited employment opportunity.


New data from Children’s National Hospital has found that social determinants of health like income, education, and occupation can impact fetal brain development, following that child into life.

“Our study has revealed 64 percent of the world’s arable land is at risk of pesticide pollution. This is important because the wider scientific literature has found that pesticide pollution can have adverse impacts on human health and the environment,” said Dr. Tang.


There is concern that overuse of pesticides will tip the balance, destabilize ecosystems and degrade the quality of water sources that humans and animals rely on to survive.

The future outlook

Global pesticide use is expected to increase as the global population heads towards an expected 8.5 billion by 2030.

Following on from the video last week all about mTOR, this week I have got one on AMPK. This is yet another protein that has an enzymatic role in the cellular energy systems that keeps us all alive and well, and it performs a natural balancing act with mTOR. As with all the systems in our body, a natural balance is essential for harmony, do we feast or fast, do we exercise hard or relax and meditate, do we sleep as many hours as possible or as few as we can get by on, should our body concentrate on growth or repair? It can all seem like a mine field, so it is often good to start with the essentials to make sure you have a good grasp of what they are, before you venture out of your depth. Hopefully this video will help shed some light these areas so you can find the right routine to help you strike a balance.

Univ. of Toronto Researcher: “I did not realize quite how bad [the lack of reproducibility and poor quality in research papers] was.”


Many areas of science have been facing a reproducibility crisis over the past two years, and machine learning and AI are no exception. That has been highlighted by recent efforts to identify papers with results that are reproducible and those that are not.

Two new analyses put the spotlight on machine learning in health research, where lack of reproducibility and poor quality is especially alarming. “If a doctor is using machine learning or an artificial intelligence tool to aid in patient care, and that tool does not perform up to the standards reported during the research process, then that could risk harm to the patient, and it could generally lower the quality of care,” says Marzyeh Ghassemi of the University of Toronto.

In a paper describing her team’s analysis of 511 other papers, Ghassemi’s team reported that machine learning papers in healthcare were reproducible far less often than in other machine learning subfields. The group’s findings were published this week in the journal Science Translational Medicine. And in a systematic review published in Nature Machine Intelligence, 85 percent of studies using machine learning to detect COVID-19 in chest scans failed a reproducibility and quality check, and none of the models was near ready for use in clinics, the authors say.

Didn’t watch the video.


Prof David R. Liu, Professor at Harvard University, the Broad Institute, and HHMI was interviewed by the Sheeky Science Show. In the interview, they discussed how to make precise genome editing safe & efficient using the latest CRISPR tech advances in base editing and prime editing and taking it to the clinic (e.g Beam Therapeutics). They talked about the next frontier, epigenome editing.

CLEVELAND, Ohio — The Cleveland Clinic and IBM have entered a 10-year partnership that will install a quantum computer — which can handle large amounts of data at lightning speeds — at the Clinic next year to speed up medical innovations.

The Discovery Accelerator, a joint Clinic-IBM center, will feature artificial intelligence, hybrid cloud data storage and quantum computing technologies. A hybrid cloud is a data storage technology that allows for faster storage and analysis of large amounts of data.

The partnership will allow Clinic researchers to use the advanced tech in its new Global Center for Pathogen Research and Human Health for research into genomics, population health, clinical applications, and chemical and drug discovery.