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They found emissions of SO₂ and NOx – both linked to increased asthma risk and a variety of other health issues – decreased by a total of 1m metric tons over that three-year period.

To determine the impact of that reduction on public health, the authors “used air quality models to track the population exposed to pollution from power plants”, Millstein said. They also employed epidemiological research to examine the effects of those emissions, and quantified the benefits by using an Environmental Protection Agency dollar value establishing the value of reducing the risk of early death across the population, he said.

All told, the emission reductions from SO₂ and NOx provided $249bn of climate and health benefits to the US, the authors found – a figure Millstein said he found was “noteworthy”

Nine of 10 American adults are in the early, middle or late stages of a syndrome that leads to heart disease, a new report finds, and almost 10% have the disease already.

“Poor cardiovascular, kidney, and metabolic health is widespread among the U.S. population,” concludes a team led by Dr. Muthiah Vaduganathan of Brigham and Women’s Hospital and Harvard Medical School in Boston.

Researchers looked specifically at rates of what the American Heart Association has dubbed cardiovascular, kidney and metabolic (CKM) syndrome—interrelated factors that progress with time and, if left unchecked lead to heart disease.

Enhanced neuron growth in the hippocampus, achieved through exercise or genetic methods, aids mice in forgetting strong, maladaptive memories, offering potential for new treatments for PTSD or drug addiction.

Researchers at the University of Toronto, Canada, and Kyushu University, Japan, discovered that enhancing neuron production and subsequently altering neural connections in the hippocampus—through exercise or genetic intervention—enables mice to forget memories associated with trauma or drugs. The findings, reported in the journal Molecular Psychiatry, could offer a new approach to treating mental health conditions like post-traumatic stress disorder (PTSD) or drug addiction.

PTSD is a mental health condition that can be triggered by experiencing or seeing a traumatic event, such as a natural disaster, serious accident, or attack. Worldwide, around 3.9% of the general population has PTSD, with symptoms including vivid flashbacks and avoidance behaviors, such as staying away from places or pushing away people that remind them of the traumatic event.

Cardiovascular health may be further endangered by microplastic particles that find their way into human blood, a new study suggests.

As the world’s population continues to grow and age, the healthcare system in different geographies is inching closer to the brink of collapse. According to the World Health Organization, the current number of health workers, including physicians, radiologists, and other professionals, is not sufficient to handle the rising caseload. On top of it, the increased stress and burnout stemming from the surge in cases is pushing many to exit the field, further reducing the number of practicing workers. Becker Health estimates show that nearly 72,000 American physicians left the workforce between 2021 and 2022, and some 30,000 who will join the workforce will not be enough to meet the growing demand.

At the core, both these challenges – the rising caseload and dwindling workforce – are leaving one major impact: diminished quality of patient care. This is where the much talked about generative AI can come in, saving healthcare staffers valuable time and resources and enabling them to focus on enhancing clinical outcomes.

First off, it’s important to understand AI is not new in healthcare. Organizations have been experimenting with predictive and computer vision algorithms for a while now, most notably to forecast the success of treatments and diagnose dangerous diseases earlier than humans. However, when it comes to generative AI, things are still pretty fresh, given the technology came to the forefront just a couple of years ago with the launch of ChatGPT. Gen AI models use neural networks to identify patterns and structures in existing data and generate new content such as text and images. They are applicable across sectors, including healthcare – where organizations cumulatively generate about 300 petabytes of data every single day.

Episode Disclaimer — The views presented in this episode are those of the speaker and do not necessarily represent the views of the United States Department of Defense (DoD) or its components.

Dr. Diane DiEuliis, Ph.D. is a Distinguished Research Fellow at National Defense University (NDU — https://www.ndu.edu/), an institution of higher education, funded by the United States Department of Defense, aimed at facilitating high-level education, training, and professional development of national security leaders. Her research areas focus on emerging biological technologies, biodefense, and preparedness for biothreats. Specific topic areas under this broad research portfolio include dual-use life sciences research, synthetic biology, the U.S. bioeconomy, disaster recovery, and behavioral, cognitive, and social science as it relates to important aspects of deterrence. Dr. DiEuliis currently has several research grants in progress, and teaches in foundational professional military education.

Continue reading “Dr. Diane DiEuliis — NDU — Preparing National Security Leaders For The Next Generation Of Threats” »

Fine air particles, less than 2.5 micrometers in diameter (PM2.5), are a major air pollutant linked to various health problems. These particles can travel deep into the lungs and even enter the bloodstream when inhaled. Recent research suggests a major health concern: PM2.5 exposure can also damage the digestive system, including the liver, pancreas, and intestines.

The human genome consists of around 3 billion base pairs and humans are all 99.6% identical in their genetic makeup. That small 0.4% accounts for any difference between one person and another. Specific combinations of mutations in those base pairs hold important clues about the causes of complex health issues, including heart disease and neurodegenerative diseases like schizophrenia.

With IT systems down, staff at Ascension have to use manual processes they left behind some 20 years ago. It’s the latest in a string of attacks on health care systems that house private patient data.