Machine Learning News and Research

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Pinpointing SARS-CoV-2 origin with new predictive model

Researchers in the United States and Canada have developed a combination of predictive statistical models that could help guide decisions about which animal species should be prioritized for detecting the origin of novel potential zoonotic viruses such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

25 May 2020

A clinical decision support system to help identify adverse health events in trauma patients

Chinese researchers from The Trauma Center of Peking University People's Hospital and National Institute of Health Data Science at Peking University are using big data to help identify trauma patients who could experience potential adverse health events in the emergency department through the aid of a clinical decision support system.

22 May 2020

Coronavirus tests the value of artificial intelligence in medicine

Dr. Albert Hsiao and his colleagues at the University of California-San Diego health system had been working for 18 months on an artificial intelligence program designed to help doctors identify pneumonia on a chest X-ray. When the coronavirus hit the United States, they decided to see what it could do.

22 May 2020

Improving IVF Treatments by Imaging Sperm Cells

News-Medical spoke to Professor Natan Shaked about his new sperm cell imaging technique that could be used to help improve the outcomes of IVF treatments.

22 May 2020

Indica Labs and Octo announce launch of online COVID Digital Pathology Repository

Indica Labs, a leading provider of computational pathology software, and Octo, a premiere information technology systems provider to the U.S. Federal Government, are pleased to announce the online COVID Digital Pathology Repository, a virtual collection of high resolution microscopic COVID-related human tissue images hosted at the National Institutes of Health.

22 May 2020

Computational immunology paves the way for SARS-CoV-2 peptide cocktail vaccine candidate

By employing an immunoinformatics approach, a new study available on the preprint server bioRxiv* shows how the combination of peptides designed from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleocapsid phosphoprotein and spike glycoprotein may trigger an improved immunological response with respectable safety profile, informing, in turn, further vaccine development.

21 May 2020

Lattice light-sheet microscopy could help in drug and vaccine development

From testing drugs to developing vaccines, the close study of the immune system is key to improving real-world health outcomes. T-cells are integral to this research, as these white blood cells help tailor the body's immune response to specific pathogens.

21 May 2020

Scientists use machine learning methods to estimate COVID-19's seasonal cycle

One of the many unanswered scientific questions about COVID-19 is whether it is seasonal like the flu - waning in warm summer months then resurging in the fall and winter.

20 May 2020

Novel molecular structures developed for desired transcriptional response

Insilico Medicine announces the publication of a new research paper titled "Molecular Generation for Desired Transcriptome Changes With Adversarial Autoencoders" in Frontiers in Pharmacology

20 May 2020

Nanotechnology may help assess risk of mortality from COVID-19

What if doctors could not only diagnose a COVID-19 infection but identify which patients are at the greatest risk of death before any major complications arise?

19 May 2020

AI helps unravel mysteries of sleep health

Algorithms and deep learning has enabled Flinders University sleep researchers to dive deep into one of the mysteries of sleep health.

18 May 2020

Testing is lifesaving, concludes US study

One of the most critical steps in controlling a pandemic disease, which has a significant mortality rate, is testing for the disease. Though this may appear relevant and obvious, its ability to forecast mortality in the current COVID-19 pandemic has not been tested.

18 May 2020

A novel approach to predict heart damage in COVID-19 patients

Johns Hopkins researchers recently received a $195,000 Rapid Response Research grant from the National Science Foundation to, using machine learning, identify which COVID-19 patients are at risk of adverse cardiac events such as heart failure, sustained abnormal heartbeats, heart attacks, cardiogenic shock and death.

18 May 2020

The dreaming brain suppresses information from the outside world

Scientists from the CNRS and the ENS-PSL in France and Monash University in Australia have shown that the brain suppresses information from the outside world, such as the sound of a conversation, during the sleep phase linked to dreaming.

15 May 2020

Digital technology applications will play a key role in addressing COVID-19 crisis

Artificial intelligence, machine learning, blockchain, and other key digital technology applications will play a vital role addressing the new healthcare challenges triggered by the COVID-19 pandemic, according to a peer-reviewed Special Issue of OMICS: A Journal of Integrative Biology.

15 May 2020

Metabolic signature determines adherence and metabolic response to Mediterranean diet

A newly identified "metabolic signature" can evaluate an individual's adherence and metabolic response to the Mediterranean diet and help predict future risk of developing cardiovascular disease (CVD), according to new research led by Harvard T.H. Chan School of Public Health with collaborators from the Broad Institute of MIT and Harvard and Spain.

15 May 2020

Using supercomputers to screen drugs for deadly heart arrhythmias

Death from sudden cardiac arrest makes headlines when it strikes athletes. But it also causes the most deaths by natural causes in the U.S. estimated at 325,000 per year.

14 May 2020

A breakthrough technique to analyze risk of dyslexia

Dyslexia is a specific learning disorder that affects 5 - 15% of the world population. MusVis, a web game developed by Maria Rauschenberger supervised by Ricardo Baeza-Yates and Luz Rello, researchers associated with the Department of Information and Communication Technologies (DTIC) at UPF, received the W4A Attendees' Award on 20 April at the 17th International Web for All Conference, whose specific theme this year was Automation for Accessibility, for the communication paper entitled

14 May 2020

Machine learning can be used to track public interest in COVID-19 topics on popular internet sites

Machine learning can be used to track surges in interest in health topics on popular online comment boards, like Reddit, according to a new study conducted during the COVID-19 outbreak by researchers in the Perelman School of Medicine at the University of Pennsylvania (Penn Medicine).

14 May 2020

Worldwide study of ICU data to provide insight into best COVID-19 treatments

Queensland researchers are leading a worldwide clinical study using AI to examine COVID-19 patient data from 300 intensive care units to provide insight for health professionals to determine the best treatments for the disease.

13 May 2020