Machine Learning News and Research

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Machine-learning based analysis of mitochondria interaction networks to advance PD diagnosis

In a new study led by the Immune Systems Biology research group of the LIH Department of Infection and Immunity, researchers adopted a holistic machine-learning approach to elucidate how the interactions between neuronal mitochondria can serve as a powerful tool to distinguish nerve cells from Parkinson’s patients from those belonging to healthy subjects, thereby providing new insights in the pathogenesis, diagnosis and treatment of this neurodegenerative disorder.

12 Nov 2020

New Cambridge Centre aims to transform precision medicine and biomedical discoveries

A new center at the University of Cambridge, in collaboration with AstraZeneca and GSK, aims to use AI to make medical discoveries, accelerate the development of precision medicine and develop new treatments

12 Nov 2020

New Cambridge center aims to use AI to make medical discoveries, develop new treatments

A new centre at the University of Cambridge, in collaboration with AstraZeneca and GSK, aims to use AI to make medical discoveries, accelerate the development of precision medicine and develop new treatments.

11 Nov 2020

Researchers use machine learning algorithm to identify common respiratory pathogens

The ongoing global pandemic has created an urgent need for rapid tests that can diagnose the presence of the SARS-CoV-2 virus, the pathogen that causes COVID-19, and distinguish it from other respiratory viruses.

11 Nov 2020

Machine learning models predict critical events, mortality rate in COVID-19 patients

Mount Sinai researchers have developed machine learning models that predict the likelihood of critical events and mortality in COVID-19 patients within clinically relevant time windows.

11 Nov 2020

Analysis of all COVID-19 research provides a comprehensive overview

Researchers at Karolinska Institutet in Sweden have explored all COVID-19 research published during the initial phase of the pandemic.

10 Nov 2020

Open-source online platform offers better insight into biomedical images

Recent years have seen dramatic improvements in imaging technologies that result in higher resolutions and faster acquisition times.

10 Nov 2020

Researchers receive federal grant to develop tool that protects privacy in brain imaging analyses

Georgia State University faculty have received a five-year, $3 million federal grant to further develop a tool that will allow researchers around the world to participate in extensive brain imaging analysis without sharing protected patient data.

10 Nov 2020

Insilico signs multi-target drug discovery agreement with Janssen Pharmaceutica

Insilico Medicine, a leader in deep generative reinforcement learning for target discovery, small molecule generation, and prediction of clinical trial outcomes, today announced that it entered into a multi-target drug discovery agreement with Janssen Pharmaceutica N.V. (Janssen).

10 Nov 2020

New machine learning method can decode brain signal patterns for specific behaviors

At any given moment in time, our brain is involved in various activities. For example, when typing on a keyboard, our brain not only dictates our finger movements but also how thirsty we feel at that time.

10 Nov 2020

Spit testing may aid non-invasive concussion diagnosis

Doctors may soon be able to more accurately diagnose concussions by measuring the number of certain molecules in a person's saliva, according to Penn State College of Medicine researchers.

9 Nov 2020

Machine learning algorithms help predict out-of-hospital cardiac arrest survival

Using neighborhood and local data in combination with existing information sources creates a more accurate prediction on a patient's recovery prospects after an out-of-hospital cardiac arrest (OHCA), according to preliminary research to be presented at the American Heart Association's Resuscitation Science Symposium 2020.

9 Nov 2020

Researchers to develop new method for high throughput screening

Nuclear magnetic resonance (NMR) is an important tool in drug research, since it can quantify and spatially resolve binding of drugs to pathogens. So far, however, NMR has lacked the sensitivity and throughput to scan large libraries of drug candidates.

9 Nov 2020

GlobalData: Rapid adoption of AI could have a negative impact due to underlying bias in data

The COVID-19 pandemic has caused rapid adoption, integration and development of artificial intelligence and machine learning into the healthcare industry.

9 Nov 2020

New model aims to predict risk of cardiovascular disease in people with type 2 diabetes

Researchers from the University of Sydney’s School of Project Management within the Faculty of Engineering have developed a model which aims to predict the risk of people living with type 2 diabetes developing cardiovascular disease.

9 Nov 2020

Reducing the airborne transmission risk for SARS-CoV-2

Rapid Reviews: COVID-19 (RR:C19), an open-access overlay journal published by the MIT Press that accelerates peer review of COVID-19-related research preprints, is currently soliciting reviews of the following COVID-19 preprints.

6 Nov 2020

Argonne supports the largest analysis of COVID-19 genome sequences in the U.S.

Argonne computational resources supported the largest comprehensive analysis of COVID-19 genome sequences in the U.S. and helped corroborate growing evidence of a protein mutation.

5 Nov 2020

Data science pathway can provide an introductory experience in AI-ML for radiology residents

A recently developed data science pathway for fourth-year radiology residents will help prepare the next generation of radiologists to lead the way into the era of artificial intelligence and machine learning (AI-ML), according to a special report published in Radiology: Artificial Intelligence.

5 Nov 2020

Novel approach for modeling spread of infectious disease

The rapid spread of SARS-CoV-2 across the world despite the early shutdown of borders and the cessation of international travel has sparked interest and given rise to changes in knowledge regarding the spread of infections.

4 Nov 2020

UConn researcher identifies genes and regulatory elements critical to heart development

The advent of genome science has given researchers an unprecedented ability to understand the root causes of a host of conditions.

3 Nov 2020

Machine Learning News and Research

Machine-learning based analysis of mitochondria interaction networks to advance PD diagnosis

New Cambridge Centre aims to transform precision medicine and biomedical discoveries

New Cambridge center aims to use AI to make medical discoveries, develop new treatments

Researchers use machine learning algorithm to identify common respiratory pathogens

Machine learning models predict critical events, mortality rate in COVID-19 patients

Analysis of all COVID-19 research provides a comprehensive overview

Open-source online platform offers better insight into biomedical images

Researchers receive federal grant to develop tool that protects privacy in brain imaging analyses

Insilico signs multi-target drug discovery agreement with Janssen Pharmaceutica

New machine learning method can decode brain signal patterns for specific behaviors

Spit testing may aid non-invasive concussion diagnosis

Machine learning algorithms help predict out-of-hospital cardiac arrest survival

Researchers to develop new method for high throughput screening

GlobalData: Rapid adoption of AI could have a negative impact due to underlying bias in data

New model aims to predict risk of cardiovascular disease in people with type 2 diabetes

Reducing the airborne transmission risk for SARS-CoV-2

Argonne supports the largest analysis of COVID-19 genome sequences in the U.S.

Data science pathway can provide an introductory experience in AI-ML for radiology residents

Novel approach for modeling spread of infectious disease

UConn researcher identifies genes and regulatory elements critical to heart development

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