Artificial Intelligence News and Research

Latest Artificial Intelligence News and Research

Single-cell RNA-seq addresses key question in islet cell biology and diabetes research

The pancreas is an abdominal organ that produces digestive enzymes as well as hormones that regulate blood sugar levels. This hormone-producing function is localized to the islets of Langerhans, which constitute clusters of different endocrine cell types.

12 May 2020

Smart health system to monitor people in COVID-19 quarantine

The global coronavirus pandemic has spread to 187 countries and territories, infecting more than 4.17 million people. Most countries, especially those with a skyrocketing caseload, grapple with a lack of hospital beds and facilities to cater to every patient infected with the virus. Now, a team of researchers may have the solution to this problem – a smart health system to monitor patients who are in home isolation.

12 May 2020

GCS centers support research to fight against global COVID-19 pandemic

In December 2019, the world learned of a new and deadly pathogen. News coming out of Wuhan, China confirmed public health experts' worst fears--a novel coronavirus appeared to have jumped from animals to humans.

11 May 2020

Novel AI diagnostic can predict COVID-19 based on symptoms

Researchers at King's College London, Massachusetts General Hospital and health science company ZOE have developed an artificial intelligence diagnostic that can predict whether someone is likely to have COVID-19 based on their symptoms.

11 May 2020

Researchers are designing a system to control two main COVID-19 symptoms

Since the declaration of the state of emergency in Spain due to COVID-19, according to data provided by the regions, over 17,000 care home users have died from coronavirus or similar symptoms.

11 May 2020

AI VIVO seeks pharma, biotech collaboration partners to advance drug candidates for COVID-19

AI VIVO has announced that it is seeking pharma and biotech collaboration partners to progress therapeutic candidates for COVID-19.

11 May 2020

Reproduction number of COVID-19 and how it relates to public health measures

A new study published on the preprint server medRxiv in May 2020 reports the use of a dynamic SEIR model to identify variations in the reproductive number of SARS-CoV-2 over time, using machine learning techniques. This could help to model and predict the outcomes of various public health solutions.

10 May 2020

Internet search patterns important in tracing and predicting COVID-19 spread

A new study published on the preprint server medRxiv in May 2020 has identified a link between Internet search patterns and local disease progression for COVID-19. It recommends the use of search data to track and predict COVID-19 spread as a complementary method to established public health surveillance methods.

10 May 2020

UOC develops new method to improve quality of CT scan imagery

Computerized tomography (CT) is one of the most effective medical tests for analyzing the effects of many illnesses, including COVID-19, on the lungs.

9 May 2020

World's largest CT scan database with COVID-19 features collected in Russia

Earlier, scientists of the Diagnostics and Telemedicine Center already reported that they had collected the first database of CT studies of patients with laboratory-confirmed infection. It had about 50 CT scans of 20 patients.

8 May 2020

Huron Digital Pathology granted US patent for barcoding digital images; image search validation paper published in nature digital medicine

Huron Digital Pathology announced today that it has been granted a US patent for barcoding digital images. The invention forms the basis for Huron’s image search platform.

From Huron Digital Pathology 8 May 2020

UTA is developing supply chain to rapidly deliver COVID-19 drugs to Texas’ underserved patients

Working with artificial intelligence, a University of Texas at Arlington researcher is developing a rapid-response supply chain designed to quickly deliver COVID-19 medications, once they are available, to vulnerable urban populations in Texas.

6 May 2020

New tool may offer a novel approach to prevent multiple chronic diseases

A study just released by Columbia University Mailman School of Public Health is reporting a blood-DNA-methylation measure that is sensitive to variation in the pace of biological aging among individuals born the same year.

6 May 2020

Artificial intelligence may help diagnose diseases that affect the heart

Artificial intelligence (AI) may be an aid to interpreting ECG results, helping healthcare staff to diagnose diseases that affect the heart.

5 May 2020

Quantum machine learning may lead to possible treatments for COVID-19

Quantum machine learning, an emerging field that combines machine learning and quantum physics, is the focus of research to discover possible treatments for COVID-19, according to Penn State researchers led by Swaroop Ghosh, the Joseph R. and Janice M. Monkowski Career Development Assistant Professor of Electrical Engineering and Computer Science and Engineering.

5 May 2020

Different types of white fat may play distinct roles in metabolic diseases

Excess white fat causes obesity, which in turn can drive diabetes and many other metabolic diseases that are growing at epidemic rates around the world.

5 May 2020

AI tool automatically diagnoses atrial fibrillation and other ECG abnormalities

Artificial intelligence may be an aid to interpreting ECG results, helping healthcare staff to diagnose diseases that affect the heart.

4 May 2020

Artificial intelligence model can distinguish between pneumonia and COVID-19 from chest x-rays

A research team from Valencia's Polytechnic University, from the CVBLab, has developed a predictive artificial intelligence model that can tell the difference between healthy patients, those who are ill with pneumonia and those who have COVID-19, from chest x-rays.

4 May 2020

Researchers develop AI algorithm to accurately predict risk for and diagnose Alzheimer's

Researchers have developed a computer algorithm based on Artificial Intelligence that can accurately predict the risk for and diagnose Alzheimer's disease using a combination of brain magnetic resonance imaging, testing to measure cognitive impairment, along with data on age and gender.

4 May 2020

AI-based technology could help accelerate clinical trials for glaucoma

The technology, supported by an artificial intelligence (AI) algorithm, could help accelerate clinical trials, and eventually may be used in detection and diagnostics, according to the Wellcome-funded study published today in Expert Review of Molecular Diagnostics.

4 May 2020