Artificial Intelligence News and Research

Latest Artificial Intelligence News and Research

GlobalData: Rapid adoption of AI could have a negative impact due to underlying bias in data

The COVID-19 pandemic has caused rapid adoption, integration and development of artificial intelligence and machine learning into the healthcare industry.

9 Nov 2020

New model aims to predict risk of cardiovascular disease in people with type 2 diabetes

Researchers from the University of Sydney’s School of Project Management within the Faculty of Engineering have developed a model which aims to predict the risk of people living with type 2 diabetes developing cardiovascular disease.

9 Nov 2020

AI enables accurate detection of radiographic sacroiliitis in people with axial spondyloarthritis

New research presented at ACR Convergence, the American College of Rheumatology's annual meeting, shows that an artificial intelligence-based analysis model, called an artificial neural network, enables accurate detection of definite radiographic sacroiliitis in people with axial spondyloarthritis, an advance that could be useful for both diagnosis in the clinic and classification of patients for inclusion in clinical trials.

6 Nov 2020

TOFoo (True Organic Food), a collaborative project driven by Eurofins secures over EUR 8 million in funding from the French Government

Eurofins, the global leader in the field of analytical services and a pioneer in food authenticity testing since its creation, is pleased to announce the launch of the TOFoo (True Organic Food) project.

From Myriade 6 Nov 2020

Deciphering heart-brain talk may help unlock the key to cardiovascular disease

The crosstalk of the heart and brain is continuous and deciphering those messages may help researchers unlock the key to cardiovascular disease, says Deeptankar DeMazumder, MD, PhD, assistant professor in the University of Cincinnati College of Medicine.

6 Nov 2020

Reducing the airborne transmission risk for SARS-CoV-2

Rapid Reviews: COVID-19 (RR:C19), an open-access overlay journal published by the MIT Press that accelerates peer review of COVID-19-related research preprints, is currently soliciting reviews of the following COVID-19 preprints.

6 Nov 2020

Argonne supports the largest analysis of COVID-19 genome sequences in the U.S.

Argonne computational resources supported the largest comprehensive analysis of COVID-19 genome sequences in the U.S. and helped corroborate growing evidence of a protein mutation.

5 Nov 2020

Data science pathway can provide an introductory experience in AI-ML for radiology residents

A recently developed data science pathway for fourth-year radiology residents will help prepare the next generation of radiologists to lead the way into the era of artificial intelligence and machine learning (AI-ML), according to a special report published in Radiology: Artificial Intelligence.

5 Nov 2020

Novel approach for modeling spread of infectious disease

The rapid spread of SARS-CoV-2 across the world despite the early shutdown of borders and the cessation of international travel has sparked interest and given rise to changes in knowledge regarding the spread of infections.

4 Nov 2020

Analysis reveals how artificial intelligence has been used to help pregnant women

Researchers from the University of Seville have carried out a rigorous and detailed analysis of how artificial intelligence has been used with pregnant women over the last twelve years.

4 Nov 2020

AI can improve efficiency of radiologists in reading breast cancer screening mammograms

Artificial intelligence can enhance the performance of radiologists in reading breast cancer screening mammograms, according to a study published in Radiology: Artificial Intelligence.

4 Nov 2020

AI speech processing framework detects inaudible COVID-19 cough

Now, a team of researchers at the Massachusetts Institute of Technology (MIT) has found that asymptomatic people may differ from those who are healthy in the way they cough. The differences are inaudible to the human ear but can be detected by artificial intelligence (AI).

3 Nov 2020

UConn researcher identifies genes and regulatory elements critical to heart development

The advent of genome science has given researchers an unprecedented ability to understand the root causes of a host of conditions.

3 Nov 2020

Machine-learning algorithm helps sort out huge amounts of data for protein research

Sorting huge amounts of data is a bottleneck in protein research, a field that is crucial to make use of the gene-editing technology CRISPR and fully understand diseases like cancer, Alzheimer's and Parkinson's

3 Nov 2020

NUS researchers develop high sensitivity, low hysteresis pressure sensor

Real-time health monitoring and sensing abilities of robots require soft electronics, but a challenge of using such materials lie in their reliability.

2 Nov 2020

Machine learning increases the accuracy of anti-cancer drug response predictions

With the advent of pharmacogenomics, machine learning research is well underway to predict the patients' drug response that varies by individual from the algorithms derived from previously collected data on drug responses.

2 Nov 2020

New model aims to predict risk of cardiovascular disease in people with type 2 diabetes

2 Nov 2020

Study finds irritated skin as strongest predictor of hospital-acquired pressure injury

Nursing assessments of patients' skin conditions may seem routine, but an analysis of more than 5,000 patient records underscores the importance of treating and monitoring irritated skin early and eliminating the cause as an important step to prevent pressure injuries.

2 Nov 2020

RNI researchers to study the impact of excessive speeds on the human brain, body

Before the first Virgin Hyperloop ride takes off, the brains behind pioneering neuroscience research at West Virginia University will help ensure the health and well-being of its passengers and operators.

30 Oct 2020

New machine learning-based approach helps detect atrial fibrillation drivers

Researchers from Skoltech and their US colleagues have designed a new machine learning-based approach for detecting atrial fibrillation drivers, small patches of the heart muscle that are hypothesized to cause this most common type of cardiac arrhythmia.

29 Oct 2020

Artificial Intelligence News and Research

Latest Artificial Intelligence News and Research

GlobalData: Rapid adoption of AI could have a negative impact due to underlying bias in data

New model aims to predict risk of cardiovascular disease in people with type 2 diabetes

AI enables accurate detection of radiographic sacroiliitis in people with axial spondyloarthritis

TOFoo (True Organic Food), a collaborative project driven by Eurofins secures over EUR 8 million in funding from the French Government

Deciphering heart-brain talk may help unlock the key to cardiovascular disease

Reducing the airborne transmission risk for SARS-CoV-2

Argonne supports the largest analysis of COVID-19 genome sequences in the U.S.

Data science pathway can provide an introductory experience in AI-ML for radiology residents

Novel approach for modeling spread of infectious disease

Analysis reveals how artificial intelligence has been used to help pregnant women

AI can improve efficiency of radiologists in reading breast cancer screening mammograms

AI speech processing framework detects inaudible COVID-19 cough

UConn researcher identifies genes and regulatory elements critical to heart development

Machine-learning algorithm helps sort out huge amounts of data for protein research

NUS researchers develop high sensitivity, low hysteresis pressure sensor

Machine learning increases the accuracy of anti-cancer drug response predictions

New model aims to predict risk of cardiovascular disease in people with type 2 diabetes

Study finds irritated skin as strongest predictor of hospital-acquired pressure injury

RNI researchers to study the impact of excessive speeds on the human brain, body

New machine learning-based approach helps detect atrial fibrillation drivers

AI In Healthcare eBook

CellVoyant's AI-Powered Vision for the Future of Cell Therapy

Scalable, Smart, and Accessible: The Future of Lab Automation

Healthy Beginnings, Hopeful Futures: A Conversation with WHO’s Dr. Allotey

Artificial Intelligence News and Research

Latest Artificial Intelligence News and Research

AI In Healthcare eBook

CellVoyant's AI-Powered Vision for the Future of Cell Therapy

Scalable, Smart, and Accessible: The Future of Lab Automation

Healthy Beginnings, Hopeful Futures: A Conversation with WHO’s Dr. Allotey

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