(WTAJ) — The U.S. Department of Agriculture’s Food Safety and Inspection Service (FSIS) is issuing a public health alert due to concerns about a raw beef product that may be contaminated.
According to the release, the raw beef item may contain soft, clear plastic. FSIS is issuing this public health alert to ensure that consumers are aware that this product should not be consumed. However, the product is no longer available for purchase.
A new artificial intelligence model finds that X-ray images collected during routine medical care can provide warning signs for diabetes, even in patients who don’t meet the guidelines for elevated risk. The model could help physicians detect the disease earlier and prevent complications, says a multi-institutional team which published the findings in Nature Communications.
Applying the computational method known as deep learning to images and electronic health record data, the researchers developed a model that successfully flagged elevated diabetes risk in a retrospective analysis, often years before patients were diagnosed with the disease. That’s significant, the researchers say, given the prevalence of diabetes in the U.S. has more than doubled over the past 35 years.
Current guidelines suggest screening patients for type 2 diabetes if they are between 35 and 70 years old and have a body mass index (BMI) in the overweight to obese range.
Each cell in the body stores its genetic information in DNA in a stable and protected form that is readily accessible for the cell to carry on its activities. Nevertheless, mutations—changes in genetic information—occur throughout the human genome and can have a powerful influence on human health and evolution.
“Our team is interested in a classical question about mutation—why do mutation rates in the genome vary so tremendously from one DNA location to another? We just do not have a clear understanding of why this occurs,” said Dr. Md. Abul Hassan Samee, assistant professor of integrative physiology at Baylor College of Medicine and corresponding author of the work.
Previous studies have shown that the DNA sequences flanking a mutated position—the sequence context—play a strong role in the mutation rate. “But this explanation still leaves unanswered questions,” Samee said. “For example, one type of mutation occurs frequently in a specific sequence context while a different type of mutation occurs infrequently in that same sequence context. So, we think that a different mechanism could explain how mutation rates vary in the genome. We know that each building block or base that makes up a DNA sequence has its own 3D chemical shape. We proposed, therefore, that there is a connection between DNA shape and mutations rates, and this paper shows that our idea was correct.”
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Offers relief treatments for all different types ofs, including migraines and clusters.
A study has revealed that AI can be used to detect cancer from mammogram screenings and could improve efficiencies and reduce workloads for health workers.
Now, his team is cautioning other health care providers to be on the lookout for similar cases in the area.
According a research letter published by Nathoo and his colleagues in the journal Emerging Infectious Diseases, Central Florida has reported among the highest rates of leprosy in the United States.
In 2,020,159 cases were reported nationwide, compared with 200,000 new cases each year around the world, according to the World Health Organization. The new letter says Central Florida accounted for 81% of cases in Florida and nearly 1 out of 5 leprosy cases nationwide.
In an astounding medical first, researchers have used AI-powered brain implants to restore movement and sensation for a man who was paralyzed from the chest down.
Keith Thomas, 45, became a quadriplegic after a tragic diving accident damaged his C4 and C5 vertebrae in 2020. But thanks to pioneering work by scientists at Northwell Health’s Feinstein Institutes, Thomas can now move his arm simply by thinking about it. Even more remarkably, he can feel the touch of a hand for the first time in three years.
Advanced technology made the impossible possible after a double neural bypass changed the life of a paralyzed patient.
Microorganisms leverage the CRISPR-Cas system as a defense mechanism against viral intrusions. In the realm of genetic engineering, this microbial immune system is repurposed for the targeted modification of the genetic makeup.
Under the leadership of Professor Dr. Alexander Probst, microbiologist at the Research Center One Health Ruhr at the Research Alliance Ruhr a research team has now discovered another function of this specialised genomic sequence: archaea – microorganisms that are often very similar to bacteria in appearance – also use them to fight parasites.
The team has recently published their findings in Nature Microbiology.
A model of human cortical development could be used to instruct novel computational learning approaches. Alysson Muotri, Phd, Sujeeth Bharadwaj, PhD, Weiwei Yang, and Gabrial Silva, MSc, PhD, discuss the promise, the problems, and the potential when biology and artificial intelligence meet. Recorded on 10/14/2021. [3/2022] [Show ID: 37556]
00:00 Start.
00:17 Introduction — Alysson Muotri, PhD, UC San Diego.
11:51 An Information Theoretic Approach to Learning — Sujeeth Bharadwaj, PhD, Microsoft.
30:44 An Alternate Approach to Collectively Solving Intelligence: Machine Learning to Artificial Intelligence — Weiwei Yang, Microsoft.
47:54 Organoids May Have Just the Right Amount of Complexity to Make Sense of the Brain — Gabriel Silva, MSc, PhD, UC San Diego.
Please Note: Knowledge about health and medicine is constantly evolving. This information may become out of date.
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Wearable electronic devices are playing a rapidly expanding role in the acquisition of individuals’ health data for personalized medical interventions; however, wearables cannot yet directly program gene-based therapies because of the lack of a direct electrogenetic interface. Here we provide the missing link by developing an electrogenetic interface that we call direct current (DC)-actuated regulation technology (DART), which enables electrode-mediated, time-and voltage-dependent transgene expression in human cells using DC from batteries. DART utilizes a DC supply to generate non-toxic levels of reactive oxygen species that act via a biosensor to reversibly fine-tune synthetic promoters.
