Machine Learning News and Research

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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

AI techniques in medical imaging may lead to false positives and false negatives

Machine learning and AI are highly unstable in medical image reconstruction, and may lead to false positives and false negatives, a new study suggests.

12 May 2020

New tool could help physicians diagnose the cause of blood clots

A new tool using cutting-edge technology is able to distinguish different types of blood clots based on what caused them, according to a study published in eLife.

12 May 2020

Personalized therapeutic approach can improve bone healing process, prevent complications

When someone breaks a bone in their lower leg, the fracture can often be complex, making the healing process lengthy and involved. In these cases, it is usual for the fractured bone to be surgically stabilized using an orthopedic implant.

12 May 2020

UC Santa Barbara researcher receives NSF award to study the coordinated behavior of neural circuits

Everything we do comes down to a series of neural signals that translate into physical behaviors. We receive information through our senses, sensory neurons convert this information into electrical and chemical signals that are processed by other neurons in our brains and ultimately, motor neurons fire muscles that move our limbs.

12 May 2020

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

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