Machine Learning News and Research

RSS

Machine learning unlocks secrets of antimicrobial resistance, identifying over 900 key genes

Researchers employed advanced techniques like gene annotation, pangenomics, and machine learning to identify over 900 genes responsible for antimicrobial resistance in 12 bacterial species, outperforming traditional identification methods. This breakthrough approach offers new insights into the genetic basis of resistance, potentially guiding the development of more effective antibiotics

27 Nov 2023

Novel method can detect contaminants in T-cell cultures within 24 hours

Researchers from Critical Analytics for Manufacturing Personalized-Medicine (CAMP) Interdisciplinary Research Group (IRG) at Singapore-MIT Alliance for Research and Technology (SMART), MIT's research enterprise in Singapore, in collaboration with Singapore Centre for Environmental Life Sciences Engineering (SCELSE) and Massachusetts Institute of Technology (MIT), have developed a novel method capable of identifying contaminants in T-cell cultures within 24 hours.

27 Nov 2023

New study unravels the brain's social communication network

Researchers have discovered that a part of the brain associated with working memory and multisensory integration may also play an important role in how the brain processes social cues.

27 Nov 2023

New machine learning model predicts cardiac arrest in ICU patients using ECG data with high accuracy

Electrocardiogram (ECG) data from a large retrospective cohort to extract various heart rate variability (HRV) measures.

27 Nov 2023

Scientists succeed in mapping a central part of the immune system

A new paper in Science Advances details how scientists have succeeded in mapping a central part of the immune system - the HLA class II molecules - while accurately predicting how they display fragments of pathogens on the surface of cells.

24 Nov 2023

A review of automated clinical depression diagnosis tools

A review on how the latest computational methods that utilize facial, acoustic, and semantic features are being deployed to predict major depressive disorders.

23 Nov 2023

Study suggests non-prescription sales data can help to forecast respiratory disease fatalities

Researchers investigated the value of integrating sales of non-prescription medications (e.g., cough syrups) for improved forecasting of deaths from respiratory diseases in England using artificial intelligence (AI)-based predictive tools.

23 Nov 2023

Canon Medical, Digital Radiography Group Introduces Technical White Paper on Intelligent Noise Reduction

Canon Medical Components USA (CMCU) - Digital Radiography (DR) , lobal leaders in advanced flat panel detectors (FPDs), X-ray components, X-ray tubes, and innovative imaging software, announces the white paper titled, Intelligent Noise Reduction: Seeing Through the Noise with Deep Learning Image Processing, by Josh Johnson.

From Canon U.S.A., Inc. 23 Nov 2023

Optimizing hospital patient safety: Machine learning model enhances early warning system performance

Researchers propose a novel predictive model based on machine learning for the early prediction of adverse events.

23 Nov 2023

Novel AI-powered method detects antimicrobial resistance within 30 minutes

To mark World Antimicrobial Awareness Week, researchers supported by the Oxford Martin Programme on Antimicrobial Resistance Testing (University of Oxford) have reported advances towards a novel and rapid antimicrobial susceptibility test that can return results within as little as 30 minutes.

22 Nov 2023

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 News and Research

Machine learning unlocks secrets of antimicrobial resistance, identifying over 900 key genes

Novel method can detect contaminants in T-cell cultures within 24 hours

New study unravels the brain's social communication network

New machine learning model predicts cardiac arrest in ICU patients using ECG data with high accuracy

Scientists succeed in mapping a central part of the immune system

A review of automated clinical depression diagnosis tools

Study suggests non-prescription sales data can help to forecast respiratory disease fatalities

Canon Medical, Digital Radiography Group Introduces Technical White Paper on Intelligent Noise Reduction

Optimizing hospital patient safety: Machine learning model enhances early warning system performance

Novel AI-powered method detects antimicrobial resistance within 30 minutes

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

AI In Healthcare eBook

Latest eBooks

Industry Focus eBook - Microbiome (1st edition)

Industry Focus eBook - Cell biology (5th edition)

Advancing degrader and proximity-based drug development

Driving innovation in Korean drug development

Advancing Intracellular Delivery with LumiPore®

How ELRIG Is Helping Mid-Career Scientists Navigate Leadership, Career Change and Redundancy

The role of UV-Vis in biopharma QC