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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

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

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

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

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

New web-based imaging platform reveals processes in cancer and COVID-19

Medical images for a wide range of diseases, including COVID-19, can now be more easily viewed, compared, and analyzed using a breakthrough web-based imaging platform developed by Massachusetts General Hospital (MGH) and collaborating researchers.

30 Apr 2020

Study with twins shows COVID-19 symptoms have genetic contribution

A new study published on the preprint server medRxiv from King's College, London, suggests that an individual's genetic makeup may contribute to how much a person is likely to be affected by COVID-19, or whether they are likely to be infected at all.

29 Apr 2020

Studies show how sex-determining genes affect courtship and aggression behaviors

Fruit flies, like many animals, engage in a variety of courtship and fighting behaviors. Now, Salk scientists have uncovered the molecular mechanisms by which two sex-determining genes affect fruit fly behavior.

28 Apr 2020

AI system could predict a youth's risk for committing acts of school violence

By leveraging the basics of artificial intelligence technology now used to predict risk for suicide or other mental health issues, researchers developed an AI system that analyzes linguistic patterns to predict a youth's risk for committing acts of school violence.

28 Apr 2020

New tool can help produce large amounts of scientific literature on COVID-19

A team of materials scientists at Lawrence Berkeley National Laboratory (Berkeley Lab) - scientists who normally spend their time researching things like high-performance materials for thermoelectrics or battery cathodes - have built a text-mining tool in record time to help the global scientific community synthesize the mountain of scientific literature on COVID-19 being generated every day.

28 Apr 2020

Astellas and Insilico collaborate on new AI technology to develop new drug candidates

Insilico Medicine has announced that it has entered into a research collaboration agreement with Astellas Pharma Inc. to utilize Insilico Medicine's novel generative artificial intelligence technology aimed at accelerating development of candidates against a conventionally challenging target family.

28 Apr 2020

Gut microbiota could predict severity of COVID-19

The COVID-19 pandemic is spreading to every corner of the world. But not everyone is falling sick at the same rate. A new study published on the preprint server medRxiv in April 2020 suggests that the composition of the gut microbiome could partially explain the difference in susceptibility. This adds a new dimension to what is currently known about the disease.

27 Apr 2020

New approach to predicting the number of asymptomatic COVID-19 cases

Researchers in China have proposed a machine-based learning approach that predicts the transmission of COVID-19 and estimates the number of asymptomatic cases more accurately than classic virus transmission models.

26 Apr 2020

New computer model predicts suicide risk

Suicide is now the second most common cause of death among American youth. Fatal suicides rose 30 percent between 2000 and 2016, and 2016 alone saw 1.3 million nonfatal suicide attempts.

25 Apr 2020

3D face photos could predict the likelihood of obstructive sleep apnea

Facial features analyzed from 3D photographs could predict the likelihood of having obstructive sleep apnea, according to a study published in the April issue of the Journal of Clinical Sleep Medicine.

23 Apr 2020

Study advances high-density electroencephalography for dynamic functional neuroimaging

Marking a major milestone on the path to meeting the objectives of the NIH BRAIN initiative, research by Carnegie Mellon's Biomedical Engineering Department Head Bin He advances high-density electroencephalography (EEG) as the future paradigm for dynamic functional neuroimaging.

23 Apr 2020

Scientists demonstrate new brain-inspired learning mechanism

The origin of machine and deep learning algorithms, which increasingly affect almost all aspects of our life, is the learning mechanism of synaptic (weight) strengths connecting neurons in our brain.

23 Apr 2020