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Category: biotech/medical – Page 1,597

A standard for artificial intelligence in biomedicine

An international research team with participants from several universities including the FAU has proposed a standardized registry for artificial intelligence (AI) work in biomedicine to improve the reproducibility of results and create trust in the use of AI algorithms in biomedical research and, in the future, in everyday clinical practice. The scientists presented their proposal in the journal Nature Methods.

In the last decades, new technologies have made it possible to develop a wide variety of systems that can generate huge amounts of biomedical data, for example in cancer research. At the same time, completely new possibilities have developed for examining and evaluating this data using methods. AI algorithms in intensive care units, e.g., can predict circulatory failure at an early stage based on large amounts of data from several monitoring systems by processing a lot of complex information from different sources at the same time, which is far beyond human capabilities.

This great potential of AI systems leads to an unmanageable number of biomedical AI applications. Unfortunately, the corresponding reports and publications do not always adhere to best practices or provide only incomplete information about the algorithms used or the origin of the data. This makes assessment and comprehensive comparisons of AI models difficult. The decisions of AIs are not always comprehensible to humans and results are seldomly fully reproducible. This situation is untenable, especially in clinical research, where trust in AI models and transparent research reports are crucial to increase the acceptance of AI algorithms and to develop improved AI methods for basic biomedical research.

Visual response shows promise as biomarker in autism-linked condition

Because the brain responses in children with different forms of autism overlapped, future therapies that are effective for Phelan-McDermid syndrome could potentially help other autistic children with similar neural patterns, Siper says.

Brain responses to visual stimuli are smaller and weaker in children with Phelan-McDermid syndrome, an autism-linked genetic condition, than in non-autistic children, according to a new study. The difference in response is greater in children with larger genetic mutations.

Mutations or deletions in SHANK3, one of the genes most strongly linked to autism, cause Phelan-McDermid syndrome. More than 80 percent of people with the condition have autism; they also often have intellectual disability, developmental delays and other medical issues, though these traits and their severity can vary widely.

The new study is the first to use electroencephalography (EEG) to measure visual evoked potentials — brain responses that occur shortly after a person views a visual stimulus — in people with Phelan-McDermid syndrome. The team previously identified differences in these responses in people with ‘idiopathic’ autism, or autism with no known genetic cause. Other researchers have linked atypical visual evoked potentials to other single-gene causes of autism, such as Rett syndrome.

Why Survival Bunkers Are So Expensive | So Expensive

The business of private survival shelters has grown during the pandemic. They’re not just for survivalists and doomsday preppers anymore. Bunkers buried in backyards or remote landscapes are capable of withstanding nuclear fallout and hurricanes, as well as violent conflict.

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Researchers use stem cells to make insulin-producing pancreatic beta cells

The human body can be genetically inclined to attack its own cells, destroying the beta cells in the pancreas that make insulin, which helps convert sugar into energy. Called Type 1 diabetes, this disorder can occur at any age and can be fatal if not carefully managed with insulin shots or an insulin pump to balance the body’s sugar levels.

But there may be another, personalized option on the horizon, according to Xiaojun “Lance” Lian, associate professor of biomedical engineering and biology at Penn State. For the first time, Lian and his team converted human embryonic stem cells into beta cells capable of producing insulin using only small molecules in the laboratory, making the process more efficient and cost-effective.

Stem cells can become other cell types through signals in their environment, and some mature cells can revert to stem cells—induced pluripotency. The researchers found that their approach worked for human embryonic and induced pluripotent stem cells, both derived from federally approved stem cell lines. According to Lian, the effectiveness of their approach could reduce or eliminate the need for human embryonic stem cells in future work. They published their results today (Aug. 26) in Stem Cell Reports.

AI algorithm solves structural biology challenges

Determining the 3D shapes of biological molecules is one of the hardest problems in modern biology and medical discovery. Companies and research institutions often spend millions of dollars to determine a molecular structure—and even such massive efforts are frequently unsuccessful.

Using clever, new machine learning techniques, Stanford University Ph.D. students Stephan Eismann and Raphael Townshend, under the guidance of Ron Dror, associate professor of computer science, have developed an approach that overcomes this problem by predicting accurate structures computationally.

Most notably, their approach succeeds even when learning from only a few known structures, making it applicable to the types of whose structures are most difficult to determine experimentally.

Dust-sized supercapacitor has voltage of AAA battery

Devices in the submillimetre range – so-called “nano-supercapacitors” – allow the shrinkage of electronic components to tiny dimensions. However, they are difficult to produce and do not usually incorporate biocompatible materials. Corrosive electrolytes, for example, can quickly discharge themselves in the event of defects and contamination.

So-called “biosupercapacitors” (BSCs) offer a solution. These have two outstanding properties: full biocompatibility, which means they can be used in body fluids such as blood, and compensation for self-discharge behaviours through bio-electrochemical reactions. In other words, they can actually benefit from the body’s own reactions. This is because, in addition to typical charge storage reactions of a supercapacitor, redox enzymatic reactions and living cells naturally present in the blood can increase the performance of a device by 40%.

Shrinking these devices down to submillimetre sizes, while maintaining full biocompatibility, has been enormously challenging. Now, scientists have created a prototype that combines both essential properties.

Estimates of Americans with long COVID-19, per state

About 11.1 million Americans are living with long COVID-19, according to new estimates from The American Academy of Physical Medicine and Rehabilitation.

Long COVID-19, or persistent symptoms up to six months after being cleared of the illness, affects around 30 percent of individuals who had COVID-19, according to two recent publications from the Journal of the American Medical Association. Symptoms of long COVID-19 are varied and may include neurological challenges, cognitive problems, shortness of breath, fatigue, pain and mobility issues.

The AAPM&R has developed a dashboard estimating long COVID-19 infections. The model assumes that 30 percent of people who recover from acute COVID-19 develop long COVID-19, but users can adjust estimates based on higher or lower percentages. U.S. case data is pulled from Baltimore-based Johns Hopkins University COVID-19 data. U.S. census data uses2019estimates.

Could bats hold the secret to healthy ageing?

In the fictional links he drew between immortal vampires and bats, Dracula creator Bram Stoker may have had one thing right.

“Maybe it’s all in the blood,” says Emma Teeling, a geneticist studying the exceptional longevity of bats in the hope of discovering benefits for humans.

The University College Dublin researcher works with the charity Bretagne Vivante to study bats living in rural churches and schools in Brittany, western France.