Machine Learning News and Research

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Research shows how sensor-based health monitoring could help tackle age-related health problems

Specific changes in our movement patterns can be indicators of several health problems: For instance, decrease in strength often correlates with risk of falls, mild cognitive impairment, depression, sleep problems, respiratory problems, cardiac arrhythmias and increasing myocardial weakness or worsening of a COVID-19 infection.

30 Aug 2022

A simple and low-cost method to identify valve dysfunction

Aortic valve stenosis occurs when the aortic valve narrows, constricting blood flow from the heart through the artery and to the entire body.

30 Aug 2022

FAU and Tel Aviv researchers receive grant to tackle Alzheimer’s-related mood disorders

Alzheimer's disease (AD) is the most common type of dementia affecting an estimated 6.3 million Americans age 65 and older. Without the development of medical breakthroughs to prevent, treat, slow or cure AD that number could grow to 13.8 million by 2060.

29 Aug 2022

Researchers receive $1.2 million Keck Foundation grant to find molecules for targeting the 'undruggable proteome'

The W.M. Keck Foundation has awarded a $1.2 million grant to medicinal chemistry and computational biology researchers at the University of Kansas and the University of Chicago focused on addressing a long-unresolved problem in biomedical research -; finding molecules able to target the "undruggable proteome."

29 Aug 2022

Artificial intelligence-based risk score improves personalized care for women with heart attacks

Heart attacks in women are more likely to be fatal than in men. The reasons are differences in age and in comorbidity burden which makes risk assessment in women a challenge.

29 Aug 2022

Is there an association between the gut microbiome of people within different countries and the severity of COVID-19?

Researchers explored the complex relationship between the gut microbiome of people in different countries and the observed COVID-19 severity, measured as the hospitalization rate of the corresponding country.

29 Aug 2022

The risk of adverse reactions when herbal medications are taken with cancer drugs

A new study discusses phytovigilance initiatives based on the real-world use of herbal drugs in cancer along with conventional chemotherapy.

24 Aug 2022

Researchers combine AI with data to improve patient care and outcomes

Chenyang Lu, the Fullgraf Professor of computer science and engineering in the Washington University in St. Louis McKelvey School of Engineering, is combining artificial intelligence with data to improve patient care and outcomes.

23 Aug 2022

Routine risk assessment and extra vigilance needed to prevent pressure injuries among ICU patients with COVID-19

Patients critically ill with COVID-19 are at exceptionally high risk for developing healthcare-associated pressure injuries (HAPrIs), and nurses and other clinicians should be extra vigilant with assessments and protective interventions, according to a study published in AACN Advanced Critical Care.

23 Aug 2022

UCL researchers identify multiple risk factors for a prematurely aging brain

By estimating people's brain age from MRI scans using machine learning, a team led by UCL researchers has identified multiple risk factors for a prematurely ageing brain.

23 Aug 2022

Novel optical fiber sensor device monitors key biomarkers following traumatic brain injury

The 'promising' results from tests on animal brain tissues suggest it could help clinicians to better monitor both disease progression and patients' response to treatment than is currently possible, which indicate the high potential for future diagnostic trials in humans.

23 Aug 2022

Researchers aim to create an AI algorithm for early detection of autism in children

Could artificial intelligence be used to assist with the early detection of autism spectrum disorder? That's a question researchers at the University of Arkansas are trying to answer. But they're taking an unusual tack.

22 Aug 2022

No one-size-fits-all AI program exists for all preventive treatments

A Rutgers analysis of dozens of artificial intelligence (AI) software programs used in precision, or personalized, medicine to prevent, diagnose and treat disease found that no program exists that can be used for all treatments.

18 Aug 2022

University of Arizona researcher receives Trailblazer Award to explore radar technology for fall risk analysis

More than 20,000 U.S. adults over 65 die as a result of falls every year, according to the Centers for Disease Control and Prevention – and that number is increasing.

17 Aug 2022

Machine learning models can predict posttreatment recurrence in patients with early-stage hepatocellular carcinoma

According to ARRS' American Journal of Roentgenology (AJR), machine learning models applied to presently underutilized imaging features could help construct more reliable criteria for organ allocation and liver transplant eligibility.

17 Aug 2022

Scientists elucidate the structure of Type IV secretion system involved in antibiotic resistance

With antibiotic-resistant bacteria on the rise, scientists have been searching for ways to shut down the Type IV secretion system (T4SS), a protein complex on the outer envelope of bacterial cells that helps them to exchange DNA with neighboring bacteria and resist antibiotics.

17 Aug 2022

Novel method enables early detection of cognitive decline

Integration of music with analysis of electrical brain activity. Musical Tests Can DetectMental Deterioration in Old Age Researchers at Tel Aviv University have developed a method that employs musical tests and a portable instrument for measuring brain activity to detect cognitive decline in old age. According to the researchers, the method, which is based on the measurement of 15 minutes of electrical activity in the brain while performing simple musical tasks, can be easily implemented by any staff member in any clinic, without requiring special training.

17 Aug 2022

Novel AI algorithm predicts the risk of mortality for patients suffering a major injury

Scientists from the Department of Traumatology and Acute Critical Medicine at the Osaka University Graduate School of Medicine developed an AI algorithm to predict the risk of mortality for patients suffering a major injury. Using the Japan Trauma Data Bank for the years 2013 to 2017, they were able to obtain records for over 70,000 patients who had experienced blunt-force trauma, which allowed the researchers to identify critical factors that could guide treatment strategies more precisely.

17 Aug 2022

UC San Diego receives $1.3 million grant to understand the role of misfolded tau proteins in dementia

Researchers at the University of California San Diego have received a $1.3 million grant from the W. M. Keck Foundation for a project that could help scientists better understand the role misfolded tau proteins play in causing neurodegenerative diseases like dementia, which may lead to more effective drug therapies.

16 Aug 2022

Scientists turn toward artificial intelligence for unraveling cell biology

For our cells to proliferate, differentiate or migrate, the nucleus needs the help of its cytoskeleton, the scaffold surrounding the nucleus which provides cells with shape and solid structure.

16 Aug 2022

Machine Learning News and Research

Research shows how sensor-based health monitoring could help tackle age-related health problems

A simple and low-cost method to identify valve dysfunction

FAU and Tel Aviv researchers receive grant to tackle Alzheimer’s-related mood disorders

Researchers receive $1.2 million Keck Foundation grant to find molecules for targeting the 'undruggable proteome'

Artificial intelligence-based risk score improves personalized care for women with heart attacks

Is there an association between the gut microbiome of people within different countries and the severity of COVID-19?

The risk of adverse reactions when herbal medications are taken with cancer drugs

Researchers combine AI with data to improve patient care and outcomes

Routine risk assessment and extra vigilance needed to prevent pressure injuries among ICU patients with COVID-19

UCL researchers identify multiple risk factors for a prematurely aging brain

Novel optical fiber sensor device monitors key biomarkers following traumatic brain injury

Researchers aim to create an AI algorithm for early detection of autism in children

No one-size-fits-all AI program exists for all preventive treatments

University of Arizona researcher receives Trailblazer Award to explore radar technology for fall risk analysis

Machine learning models can predict posttreatment recurrence in patients with early-stage hepatocellular carcinoma

Scientists elucidate the structure of Type IV secretion system involved in antibiotic resistance

Novel method enables early detection of cognitive decline

Novel AI algorithm predicts the risk of mortality for patients suffering a major injury

UC San Diego receives $1.3 million grant to understand the role of misfolded tau proteins in dementia

Scientists turn toward artificial intelligence for unraveling cell biology

AI In Healthcare eBook

Achieving and maintaining ISO 27001 and BS 10012 certifications

Expanding research and clinical options for children with cancer

Examining how pain could play a direct protective role in the gut

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