Toggle light / dark theme

Engineers solve data glitch on NASA’s Voyager 1

Engineers have repaired an issue affecting data from NASA’s Voyager 1 spacecraft. Earlier this year, the probe’s attitude articulation and control system (AACS), which keeps Voyager 1’s antenna pointed at Earth, began sending garbled information about its health and activities to mission controllers, despite operating normally. The rest of the probe also appeared healthy as it continued to gather and return science data.

The team has since located the source of the garbled information: The AACS had started sending the data through an onboard computer known to have stopped working years ago, and the computer corrupted the information.

Suzanne Dodd, Voyager’s project manager, said that when they suspected this was the issue, they opted to try a low-risk solution: commanding the AACS to resume sending the data to the right computer.

Dr Asha M George, DrPH — Building Defenses Against Bio-Terrorism And (Re)Emerging Infectious Disease

Dr. Asha M. George, DrPH (https://biodefensecommission.org/teams/asha-m-george-drph/) is Executive Director, Bipartisan Commission on Biodefense, which was established in 2014 to assess gaps in and provide recommendations to improve U.S. biodefense. The Panel determines where the United States is falling short of addressing biological attacks and emerging and reemerging infectious diseases.

Dr. George is a public health security professional whose research and programmatic emphasis has been practical, academic, and political. She served in the U.S. House of Representatives as a senior professional staffer and subcommittee staff director at the House Committee on Homeland Security in the 110th and 111th Congress. She has worked for a variety of organizations, including government contractors, foundations, and non-profits. As a contractor, she supported and worked with all Federal Departments, especially the Department of Homeland Security and the Department of Health and Human Services.

Dr. George also served on active duty in the U.S. Army as a military intelligence officer and as a paratrooper and she is a decorated Desert Storm Veteran.

Dr. George holds a Bachelor of Arts in Natural Sciences from Johns Hopkins University, a Master of Science in Public Health from the University of North Carolina at Chapel Hill (in Parasitology and Laboratory Practice), and a Doctorate in Public Health (with a focus on Public Health Policy and Security Preparedness) from the University of Hawaii at Manoa. She is also a graduate of the Harvard University National Preparedness Leadership Initiative.

Artificial womb possibility

Biomedical researchers working with lambs got promising results from an experiment designed to prevent the health problems associated with premature births.

»»» Subscribe to The National to watch more videos here:

Voice your opinion & connect with us online:

The National Updates on Facebook: https://www.facebook.com/thenational.
The National Updates on Twitter: https://twitter.com/CBCTheNational.
The National Updates on Google+: https://plus.google.com/+CBCTheNational.

»»» »»» »»» »»» »»»
The National is CBC Television’s flagship news program. Airing seven days a week, the show delivers news, feature documentaries and analysis from some of Canada’s leading journalists.

Neurological and psychiatric risk trajectories after SARS-CoV-2 infection: an analysis of 2-year retrospective cohort studies including 1 284 437 patients

This analysis of 2-year retrospective cohort studies of individuals diagnosed with COVID-19 showed that the increased incidence of mood and anxiety disorders was transient, with no overall excess of these diagnoses compared with other respiratory infections. In contrast, the increased risk of psychotic disorder, cognitive deficit, dementia, and epilepsy or seizures persisted throughout. The differing trajectories suggest a different pathogenesis for these outcomes. Children have a more benign overall profile of psychiatric risk than do adults and older adults, but their sustained higher risk of some diagnoses is of concern. The fact that neurological and psychiatric outcomes were similar during the delta and omicron waves indicates that the burden on the health-care system might continue even with variants that are less severe in other respects. Our findings are relevant to understanding individual-level and population-level risks of neurological and psychiatric disorders after SARS-CoV-2 infection and can help inform our responses to them.

National institute for health and care research oxford health biomedical research centre, the wolfson foundation, and MQ mental health research.

Exposure to phenytoin associates with a lower risk of post-COVID cognitive deficits: a cohort study

A proportion of patients experience long-lasting symptoms in the weeks and months after a diagnosis of COVID-19. 1–3 Of those symptoms, cognitive impairment (also referred to as ‘brain fog’) is particularly worrisome: it is one of the most common, 4, 5 can affect those with even relatively mild acute COVID-19 illness 1, 5 and results in the inability to work for many affected patients. 3 While emerging research is starting to characterize the clinical presentation of post-COVID cognitive deficits, 6 its pathogenesis remains elusive. Identifying therapeutic targets is critical to reducing the burden of this COVID-19 complication.

Endotheliopathy has been hypothesized as one potential mechanism underlying post-COVID cognitive deficits. 7 According to recent research, microvascular brain pathology following COVID-19 can be caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) main protease Mpro cleaving nuclear factor-κB essential modulator thus inducing the death of brain endothelial cells. 8 The same study showed that pharmacologically inhibiting receptor-interacting protein kinase (RIPK) signaling prevents the Mpro-induced microvascular pathology. 8

This research leads to the following hypothesis: exposure to a pharmacological inhibitor of RIPK signaling at the time of COVID-19 infection reduces the risk of post-COVID cognitive deficits. In this study, we tested this hypothesis using a retrospective cohort study based on electronic health records (EHRs) data. While many pharmacological agents inhibit RIPK signaling, 9 most are only used in very rare clinical scenarios (e.g. sunitinib for the treatment of advanced renal cell carcinoma or pancreatic neuroendocrine tumors). The exception is phenytoin which is used as an anti-epileptic drug and which, among its other effects, is a RIPK1 inhibitor protecting against necroptosis. 10, 11 In this study, we compared the incidence of post-COVID cognitive deficits between patients exposed to phenytoin and matched cohorts of patients exposed to other anti-epileptic drugs at the time of their COVID-19 diagnosis.

5 Ways to Reduce Visceral Fat, Backed By Science

There’s an epidemic in Western countries, and one few people are aware of. It’s an epidemic of visceral fat, a deep kind of fat that packs around vital organs, like the liver, and is linked with health problems like diabetes, heart disease, and high blood pressure.

You might assume that only people who are overweight or obese have too much visceral fat, but that’s not the case. Thin people, particularly inactive ones and older individuals, can have enough visceral fat to increase their risk of chronic health problems. They may look thin, but they’re not healthy because they have too much visceral fat and other markers of bad health.

Although it’s not easy to trim down visceral fat, science shows there are ways to reduce your body’s visceral fat burden and improve your health simultaneously.

The Internet of Things needs ultra-compact supercapacitors

Increased demand for super tiny electronic sensors coming from healthcare, environmental services and the Internet of Things is prompting a search for equally tiny ways to power these sensors. A review of the state of ultracompact supercapacitors, or “micro-supercapacitors,” concludes there is still a lot of research to be done before these devices can deliver on their promise.

The review appeared in the journal Nano Research Energy.

The explosion of demand in recent years for miniaturized , such as health monitors, environmental sensors and wireless communications technologies has in turn driven demand for components for those devices that have ever smaller size and weight, with lower energy consumption, and all of this at cheaper prices.

Efficient AI technology for MRI data analysis

An algorithm developed by researchers from Helmholtz Munich, the Technical University of Munich (TUM) and its University Hospital rechts der Isar, the University Hospital Bonn (UKB) and the University of Bonn is able to learn independently across different medical institutions. The key feature is that it is self-learning, meaning it does not require extensive, time-consuming findings or markings by radiologists in the MRI images.

This federated was trained on more than 1,500 MRI scans of healthy study participants from four institutions while maintaining data privacy. The algorithm then was used to analyze more than 500 patient MRI scans to detect diseases such as multiple sclerosis, vascular disease, and various forms of brain tumors that the algorithm had never seen before. This opens up new possibilities for developing efficient AI-based federated algorithms that learn autonomously while protecting privacy. The study has now been published in the journal Nature Machine Intelligence.

Health care is currently being revolutionized by artificial intelligence. With precise AI solutions, doctors can be supported in diagnosis. However, such algorithms require a considerable amount of data and the associated radiological specialist findings for training. The creation of such a large, central database, however, places special demands on . Additionally, the creation of the findings and annotations, for example the marking of tumors in an MRI image, is very time-consuming.