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Using AI to improve standard-of-care cardiac imaging

Heart disease is the leading cause of adult death worldwide, making cardiovascular disease diagnosis and management a global health priority. An echocardiogram, or cardiac ultrasound, is one of the most commonly used imaging tools employed by physicians to diagnose a variety of heart diseases and conditions.

Most standard echocardiograms provide two-dimensional visual images (2D) of the three-dimensional (3D) cardiac anatomy. These echocardiograms often capture hundreds of 2D slices or views of a beating heart that can enable physicians to make clinical assessments about the function and structure of the heart.

To improve diagnostic accuracy of cardiac conditions, researchers from UC San Francisco set out to determine whether deep neural networks (DNNs), a type of AI algorithm, could be re-designed to better capture complex 3D anatomy and physiology from multiple imaging views simultaneously. They developed a new “multiview” DNN structure—or architecture—to enable it to draw information from multiple imaging views at once, rather than the current approach of using only a single view. They then trained demonstration DNNs using this architecture to detect disease states for three cardiovascular conditions: left and right ventricular abnormalities, diastolic dysfunction, and valvular regurgitation.

Exercise triggers memory-related brain ‘ripples’ in humans

The team recruited 14 patients between 17 and 50 years of age, to participate. After a brief warmup, participants rode a stationary bike for 20 minutes at a pace they could maintain for the duration. Researchers recorded the participants’ brain activity before and after the cycling session using intracranial electroencephalography (iEEG), which utilizes implanted electrodes to measure neural activity in the brain. The recordings showed an increased rate of ripples originating in the hippocampus and connecting with cortical regions of the brain known to be involved in learning and memory performance.

“We’ve known for years that physical exercise is often good for cognitive functions like memory, and this benefit is associated with changes in brain health, largely from behavioral studies and noninvasive brain imaging,” says the study’s corresponding author. “By directly recording brain activity, our study shows, for the first time in humans, that even a single bout of exercise can rapidly alter the neural rhythms and brain networks involved in memory and cognitive function.”

The author says the results apply beyond the epileptic patients who participated. ScienceMission sciencenewshighlights.


A single session of physical exercise can spawn a boost of neural activity in brain networks that underlie learning and memory, according to a new study.

The researchers measured neural activity in the brains of patients with epilepsy before and after they completed a bout of physical exercise. The results showed that a single exercise session produced in the participants a burst of high-frequency brain waves, called ripples, emanating from the hippocampus to areas of the brain involved in learning and recall.

Neuroscientists have documented ripples relevant to memory in mice and rats, but they had not confirmed the link in humans, mainly because electrodes need to be implanted in the brain to obtain recordings. Instead, researchers had theorized the ripples’ role in humans, based on studies in people that measured changes in oxygenated blood in the brain after exercise. This new study marks the first time researchers have been able to see the neurons in action in people following exercise, the authors report.

Mechanically activated liquid metal powder lets users draw circuits on paper

What if electronic circuits could be created simply by drawing lines with a pencil on paper or leaves—and then immediately applied to soft robots or skin-attached health monitoring devices? Korean researchers have developed an electronic materials technology that forms electrically conductive liquid metal in a fine powder form, allowing circuits to be drawn directly on a wide variety of surfaces.

This technology presents new possibilities for next-generation flexible electronics, including applications on paper and plastic as well as in soft robotic systems and wearable devices. The research was published in Advanced Functional Materials.

A research team led by Distinguished Professor Inkyu Park from the Department of Mechanical Engineering, in collaboration with Dr. Hye Jin Kim’s team at the Electronics and Telecommunications Research Institute (ETRI), has developed a liquid metal powder-based electronic material technology that allows electronic circuits to be directly drawn on desired surfaces.

Study Reveals a ‘Turning Point’ in US Life Expectancy

A worrying health pattern for some of the Gen X and Millennial crowd has been highlighted by a new study: people born between 1970 and 1985 are experiencing worse mortality rates than the generations before them, across multiple causes.

The international team of researchers analyzed cause-of-death records over more than 40 years, between 1979 and 2023, to examine changes in life expectancy and the underlying reasons that could be shaping it.

What stands out is that being born in the 1950s – the middle of the Baby Boomer generation – marks a turning point: from steadily decreasing mortality rates and better health outcomes compared with earlier groups, to the opposite.

A 3D-printed swallowable robot could perform gastrointestinal procedures

Recent technological advances have opened new possibilities for the development of advanced medical devices, including tiny robots that can safely move inside the human body. Some of these systems could help to simplify complex medical procedures, including delicate surgeries and the targeted delivery of drugs to specific sites.

THE MINIMAX lab at University of Texas (UT) Austin specializes in the development of tiny robots for medical, environmental, and other applications. In a recent preprint paper on arXiv, researchers from this lab introduced a new 3Dprintable and magnetically steerable capsule robot that could potentially help to diagnose and treat some gastrointestinal (GI) conditions.

“My motivation for GI health monitoring is deeply personal,” Fangzhou Xia, director of the MINIMAX lab at UT Austin and senior author of the paper, told Medical Xpress. “In 2022, when I was a postdoc at MIT, I experienced a severe GI medical episode involving repeated gallstone-induced bile duct blockage that ultimately required gallbladder removal surgery.

Nocturnal Hypertension and Prognosis in Patients of Very Advanced Age

RESEARCH ARTICLE: nocturnal hypertension and prognosis in patients of very advanced age.


BACKGROUND: Nocturnal blood pressure (BP) is a better predictor of health outcomes than office or daytime BP. However, the clinical significance of nocturnal hypertension in patients of very advanced age remains unexplored. We aimed to assess the association between nocturnal hypertension and composite cardiovascular outcomes in this population. METHODS: This was a prospective observational study including Japanese elderly outpatients aged ≥80 years. All patients underwent 24-hour ambulatory BP monitoring at baseline. Nocturnal hypertension was defined as nocturnal systolic BP ≥120 mm Hg or diastolic BP≥70 mm Hg. Daytime hypertension was defined as daytime systolic BP ≥135 mm Hg and diastolic BP ≥85 mm Hg.

New DNA tools outperform traditional methods for detecting genetic risk in wildlife

Wildlife populations that become small and isolated, often due to habitat loss, inevitably experience inbreeding which can lead to the loss of fitness and eventual extinction. One solution is to perform a genetic rescue: a management intervention where new blood is brought in by introducing outsiders to a population to reduce inbreeding and restore diversity. But how do researchers know the inbreeding problem has been solved?

A new long-term study from Western, led by biology professor and chair David Coltman, shows DNA-based tools detected changes in inbreeding more accurately than traditional pedigree methods in a wild population of bighorn sheep that was recently genetically rescued. The study was published in the journal Evolutionary Applications.

Pedigree approaches estimate genetic health from family history, whereas genomic approaches directly analyze DNA.

Real-time protein quality control keeps cells healthy

Scientists from the National University of Singapore (NUS) have developed a biochemical technique that captures fleeting “handshakes” between newly made proteins and the cellular helpers. These short interactions are important because they can determine whether a protein turns out healthy and useful or is faulty and in need of removal. The research has been published in the journal Molecular Cell.

Cells produce vast numbers of proteins to sustain life. But building a protein is not only about assembling a chain of amino acids in the right order. As the protein chain is being produced, it must begin folding into the correct three-dimensional shape and avoid attaching to the wrong partners.

When folding goes wrong, misfolded proteins can become sticky, clump together, and disrupt cellular health. Cells reduce this risk by running “quality checks” even while proteins are still being made. However, identifying the key players in this early surveillance has been challenging because their interactions with newly forming protein chains are brief and easily missed.

Oligodendrocyte molecular perturbations associated with tau in Alzheimer’s

The findings suggest that in AD, part of what happens in the brain may involve changes in DNA tagging that affect the function of oligodendrocytes, particularly in relation to the buildup of the toxic protein tau.

Oligodendrocytes are the brain cells that make myelin, the insulation that helps nerve cells communicate. Scientists have theorized that disrupting neuron communication contributes to symptoms for people with AD. Researchers in this study found that nearly all significant methylation changes — small chemical tags added to DNA that help control when genes are turned on or off — were linked to the tau protein. This supports the idea that this protein plays a key role in brain cell changes tied to AD.

“Our team has previously shown that oligodendrocytes are affected in Alzheimer’s and another tau-related disease, progressive supranuclear palsy (PSP),” says the author. “These new results further highlight that problems in oligodendrocytes and myelin are central to AD. They also point to specific molecular pathways, particularly epigenetic changes, that could be targeted in future therapies.”

The study results identified new genes that may play a role in AD, including one called LDB3, and confirmed many findings across multiple independent datasets, showing its reliability. The identification of specific genes provides potential targets for future research — for example, scientists might investigate whether interventions that reverse methylation or support oligodendrocyte health can slow or modify disease progression for patients with AD. ScienceMission sciencenewshighlights.


In a study published in Nature Communications, the researchers have identified specific DNA-level changes in the brains of people with Alzheimer’s disease (AD). Using advanced biological analysis, the team mapped alterations in the brain’s regulatory landscape that may help explain why Alzheimer’s presents and progresses differently from person to person. The findings could also open new avenues for understanding other neurodegenerative diseases.

Alzheimer’s disease is the most common cause of dementia. Biologically, the disease begins with the formation of protein deposits, known as amyloid plaques, and neurofibrillary tangles in the brain. This causes brain cells to die over time and the brain to shrink. About 6.9 million people in the U.S. age 65 and older live with Alzheimer’s disease. There is no cure, and in advanced stages, complications can result in a significant decline in quality of life and death.

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