Machine Learning News and Research

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New machine learning method can decode brain signal patterns for specific behaviors

At any given moment in time, our brain is involved in various activities. For example, when typing on a keyboard, our brain not only dictates our finger movements but also how thirsty we feel at that time.

10 Nov 2020

Spit testing may aid non-invasive concussion diagnosis

Doctors may soon be able to more accurately diagnose concussions by measuring the number of certain molecules in a person's saliva, according to Penn State College of Medicine researchers.

9 Nov 2020

Machine learning algorithms help predict out-of-hospital cardiac arrest survival

Using neighborhood and local data in combination with existing information sources creates a more accurate prediction on a patient's recovery prospects after an out-of-hospital cardiac arrest (OHCA), according to preliminary research to be presented at the American Heart Association's Resuscitation Science Symposium 2020.

9 Nov 2020

Researchers to develop new method for high throughput screening

Nuclear magnetic resonance (NMR) is an important tool in drug research, since it can quantify and spatially resolve binding of drugs to pathogens. So far, however, NMR has lacked the sensitivity and throughput to scan large libraries of drug candidates.

9 Nov 2020

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

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

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

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

Novel device can benefit patients with upper limb paralysis

A tiny device the size of a small paperclip has been shown to help patients with upper limb paralysis to text, email and even shop online in the first human trial.

29 Oct 2020

Brain-computer interface enables patients with severe paralysis to resume daily tasks

Researchers demonstrated the success of a fully implantable wireless medical device, the Stentrode™ brain-computer interface (BCI), designed to allow patients with severe paralysis to resume daily tasks -- including texting, emailing, shopping and banking online -- without the need for open brain surgery.

28 Oct 2020

Physical stress caused by interruptions in workplace

ETH researchers have used an experiment in a simulated group office environment to show for the first time that the body produces more stress hormones when people are repeatedly interrupted at work.

28 Oct 2020

Machine Learning News and Research

New machine learning method can decode brain signal patterns for specific behaviors

Spit testing may aid non-invasive concussion diagnosis

Machine learning algorithms help predict out-of-hospital cardiac arrest survival

Researchers to develop new method for high throughput screening

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

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

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

New machine learning-based approach helps detect atrial fibrillation drivers

Novel device can benefit patients with upper limb paralysis

Brain-computer interface enables patients with severe paralysis to resume daily tasks

Physical stress caused by interruptions in workplace

AI In Healthcare eBook

Sensing a Healthier Future

Achieving and maintaining ISO/IEC 27001 and BS 10012 certifications

Expanding research and clinical options for children with cancer

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