Machine Learning News and Research

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Digital Science acquires AI-powered academic writing service Writefull

Digital Science has today announced it has fully acquired the AI-based academic language service Writefull, which assists users worldwide with all aspects of their scholarly writing.

22 Nov 2023

Sales of respiratory medications key to predicting disease mortality, UK study finds

The value of integrating national longitudinal shopping data into respiratory disease forecasting models.

22 Nov 2023

Brain's response to unexpected visual patterns evolves over time

Faced with images that break the expected pattern, like a do not enter sign where a stop sign is expected, how does the brain react and learn compared to being shown images which match what was predicted?

21 Nov 2023

AI and synthetic patients could make early diagnosis of chronic fatigue syndrome more feasible

Between 17 and 24 million people worldwide suffer from chronic fatigue syndrome, a deeply debilitating and difficult-to-diagnose condition.

21 Nov 2023

New AI system achieves 98.5% accuracy in autism diagnosis

A newly developed artificial intelligence (AI) system that analyzes specialized MRIs of the brain accurately diagnosed children between the ages of 24 and 48 months with autism at a 98.5% accuracy rate, according to research being presented next week at the annual meeting of the Radiological Society of North America.

21 Nov 2023

Experts recommend genomics for tackling antimicrobial resistance, outline key strategies for effective surveillance

The Lancet Microbe article summarizes discussions by the Surveillance and Epidemiology of Drug-resistant Infections Consortium on using genomics for antimicrobial resistance surveillance, highlighting its benefits and challenges and providing key recommendations for effective implementation.

20 Nov 2023

UT Arlington researchers develop improved model for predicting cancer cure rates

With the rapid development in computing power over the past few decades, machine-learning (ML) techniques have become popular in medical settings as a way to predict survival rates and life expectancies among patients diagnosed with diseases such as cancer, heart disease, stroke, and, more recently, COVID-19.

20 Nov 2023

AI-powered diagnostic tools show bias against women from ethnic groups

Machine learning algorithms designed to diagnose a common infection that affects women showed a diagnostic bias among ethnic groups, University of Florida researchers found.

20 Nov 2023

AI-based approach uncovers social patterns that impact child health outcomes

A team led by researchers at Weill Cornell Medicine has used an AI-based approach to uncover underlying patterns among the conditions in which people are born, grow, live, work, and age, termed social determinants of health (SDoH), and then linked each pattern to children's health outcomes.

20 Nov 2023

Researchers develop machine learning-based tool for assessment of shoulder function

A study published in Scientific Reports introduces a simple string-pulling task as a reliable method for assessing shoulder mobility in both animals and humans. This innovative approach, combined with machine learning, has the potential to revolutionize the diagnosis and monitoring of shoulder injuries, offering an affordable and accessible solution.

19 Nov 2023

Machine learning uncovers potent immunomodulators for vaccines and immunotherapy

Small molecules called immunomodulators can help create more effective vaccines and stronger immunotherapies to treat cancer.

17 Nov 2023

RIT scientist earns NIH award to support research on building the next generation of drugs

Rochester Institute of Technology's Emiliano Brini, assistant professor in the School of Chemistry and Materials Science, has received an award from the National Institutes of Health (NIH) to support his research on building the next generation of drugs.

17 Nov 2023

AI-enhanced autism therapy: How multi-stage ensemble learning is changing the game By Pooja

Anticipating and identifying characteristics that impact or contribute to autism spectrum disorder therapy.

17 Nov 2023

UTS researcher tests new handheld device for rapidly and accurately identifying drug specimens

University of Technology Sydney (UTS) Centre for Forensic Science PhD candidate Harry Fursman is working on two fronts to prevent harm to people who use drugs: He is testing a new handheld device for rapidly and accurately identifying drug specimens and conducting ongoing chemical analysis of used syringes.

16 Nov 2023

MOSAIC center aims to revolutionize glioblastoma treatment with image-based mathematical models

Mayo Clinic Comprehensive Cancer Center and Columbia University received a five-year, $10.6 million U54 center grant from the National Cancer Institute (NCI) to further study combining the molecular analysis of glioblastoma with MRI.

16 Nov 2023

New study highlights urgent need for specific biomarkers in vascular cognitive impairment and dementia diagnosis

A review in Nature Reviews Neurology discusses the pathophysiological processes in vascular cognitive impairment and dementia (VCID), emphasizing the need for specific biomarkers to differentiate VCID from Alzheimer's disease and to improve diagnosis and treatment strategies, moving beyond reliance on neuroimaging and patient histories.

15 Nov 2023

Engineering approach reveals surprising macrophage phenotype with best tumor-targeting ability

Macrophages, a type of white blood cell that can destroy invading pathogens, have an innate ability to infiltrate tumor cells, making them a potentially important tool in treatments that use transplanted cells to fight disease, known as cell therapy.

15 Nov 2023

Novel robotic system accurately measures arm usage in stroke patients

Stroke is a leading cause of long-term disability worldwide. Each year more than 15 million people worldwide have strokes, and three-quarters of stroke survivors will experience impairment, weakness and paralysis in their arms and hands.

15 Nov 2023

Brain-inspired computing system achieves high accuracy in handwritten digit recognition

An experimental computing system physically modeled after the biological brain "learned" to identify handwritten numbers with an overall accuracy of 93.4%. The key innovation in the experiment was a new training algorithm that gave the system continuous information about its success at the task in real time while it learned.

13 Nov 2023

Transforming brain research with AI and machine learning

Using machine learning, researchers are able to use data from the brain to glean deeper insights and apply this new knowledge in clinical settings.

13 Nov 2023

Machine Learning News and Research

Digital Science acquires AI-powered academic writing service Writefull

Sales of respiratory medications key to predicting disease mortality, UK study finds

Brain's response to unexpected visual patterns evolves over time

AI and synthetic patients could make early diagnosis of chronic fatigue syndrome more feasible

New AI system achieves 98.5% accuracy in autism diagnosis

Experts recommend genomics for tackling antimicrobial resistance, outline key strategies for effective surveillance

UT Arlington researchers develop improved model for predicting cancer cure rates

AI-powered diagnostic tools show bias against women from ethnic groups

AI-based approach uncovers social patterns that impact child health outcomes

Researchers develop machine learning-based tool for assessment of shoulder function

Machine learning uncovers potent immunomodulators for vaccines and immunotherapy

RIT scientist earns NIH award to support research on building the next generation of drugs

AI-enhanced autism therapy: How multi-stage ensemble learning is changing the game By Pooja

UTS researcher tests new handheld device for rapidly and accurately identifying drug specimens

MOSAIC center aims to revolutionize glioblastoma treatment with image-based mathematical models

New study highlights urgent need for specific biomarkers in vascular cognitive impairment and dementia diagnosis

Engineering approach reveals surprising macrophage phenotype with best tumor-targeting ability

Novel robotic system accurately measures arm usage in stroke patients

Brain-inspired computing system achieves high accuracy in handwritten digit recognition

Transforming brain research with AI and machine learning

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