Deep Learning News and Research

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Wearable brain-machine interface could help disabled people to control a wheelchair or vehicle

Combining new classes of nanomembrane electrodes with flexible electronics and a deep learning algorithm could help disabled people wirelessly control an electric wheelchair, interact with a computer or operate a small robotic vehicle without donning a bulky hair-electrode cap or contending with wires.

20 Sep 2019

Machine learning may augment diagnostics of kidney disease

Two new studies reveal that modern machine learning--a branch of artificial intelligence in which systems learn from data, identify patterns, and make decisions--may augment traditional diagnostics of kidney disease. The findings appear in an upcoming issue of JASN.

6 Sep 2019

Artificial intelligence learns complex patterns between genes and diseases

Artificial intelligence is being harnessed by researchers to track down genes that cause disease. A KAUST team is taking a creative, combined deep learning approach that uses data from multiple sources to teach algorithms how to find patterns between genes and diseases.

4 Sep 2019

New computational modeling technology to noninvasively assess likelihood of heart attack

The National Science Foundation has awarded $550,000 to fund a collaborative new research project to develop a noninvasive, computational modeling technology for assessing the likelihood of a heart attack in patients with high levels of plaque buildup in their arteries -- the primary cause of heart attack in the U.S. today.

22 Aug 2019

New automated tool maps the movement of particles inside cells

Scientists have developed an automated tool for mapping the movement of particles inside cells that may accelerate research in many fields, a new study in eLife reports.

14 Aug 2019

Advanced imaging technology for prostate cancer could increase a man’s chances of survival

According to the American Cancer Society, approximately one in nine men will be diagnosed with prostate cancer in their lifetime.

9 Aug 2019

AI used to find unsafe foods using consumer product reviews

A new program can track all recalled foods based from Amazon customer reviews. Called BERT, the AI program identified thousands of recalled products with an accuracy rate of 74 percent.

6 Aug 2019

A stretchable, wireless, wearable health monitor

Researchers have developed wearable wireless monitors that contain stretchable electronics and would provide long term health data about the adults, babies and children. These sensors are an advantage over the presently used devices because they are free from the risk of skin allergic reactions and injuries that are associated with conventional adhesive sensors containing conductive gel formulations.

31 Jul 2019

New wireless, stretchable electronics for long-term health monitoring

A wireless, wearable monitor built with stretchable electronics could allow comfortable, long-term health monitoring of adults, babies and small children without concern for skin injury or allergic reactions caused by conventional adhesive sensors with conductive gels.

30 Jul 2019

'Junk' DNA mutations highly significant in autism and stroke

Non-coding DNA, junk DNA, genetic dark matter – these are all names for the 98% of DNA that doesn’t directly code for proteins but is crucial in regulating protein synthesis. This is now the focus of a large new study published in the journal Nature Genetics.

25 Jul 2019

Measuring pupil dilation and heart rate using AI could enable earlier diagnosis of autism

Autism and other neurodevelopmental disorders often aren't diagnosed until a child is a few years of age, when behavioral interventions and speech/occupational therapy become less effective.

24 Jul 2019

Researchers identify previously unknown pathways for sensory learning in the brain

We've all heard the saying that individuals learn at their own pace. Researchers at Carnegie Mellon University have developed an automated, robotic training device that allows mice to learn at their leisure.

19 Jul 2019

Application of machine learning methods to healthcare outcomes research

Value in Health, the official journal of ISPOR- the professional society for health economics and outcomes research, announced today the publication of a high-level overview of machine learning for healthcare outcomes researchers and decision makers.

16 Jul 2019

Researchers open the door to a new era of medicinal chemistry

Progress in the pharmaceutical industry depends largely on the achievements and advances in medicinal chemistry.

14 Jul 2019

Using machine learning algorithm to accurately diagnose breast cancer

Breast cancer is the leading cause of cancer-related death among women. It is also difficult to diagnose. Nearly one in 10 cancers is misdiagnosed as not cancerous, meaning that a patient can lose critical treatment time.

14 Jul 2019

Advances in artificial intelligence could shed light on aging process

There are two kinds of age: chronological age, w hich is the number of years one has lived, and biological age, which is influenced by our genes, lifestyle, behavior, the environment and other factors.

4 Jul 2019

Using artificial intelligence to personalize the dose of radiation therapy for cancer patients

New Cleveland Clinic-led research shows that artificial intelligence can use medical scans and health records to personalize the dose of radiation therapy used to treat cancer patients.

28 Jun 2019

Social robots can lead to more positive emotions in sick children, study shows

A new study demonstrates, for the first time, that "social robots" used in support sessions held in pediatric units at hospitals can lead to more positive emotions in sick children.

26 Jun 2019

Research project aims to develop 'personalized health' approach to prevent antimicrobial resistance

The University of Liverpool and the Liverpool School of Tropical Medicine have been awarded £3.54m for a research project that aims to develop a 'personalized health' approach to prevent and treat antimicrobial resistance.

25 Jun 2019

Machine learning identifies bugs that spread Chagas disease

New research from the University of Kansas shows machine learning is capable of identifying insects that spread the incurable disease called Chagas with high precision, based on ordinary digital photos.

20 Jun 2019