Machine Learning News and Research

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Acquiring real-time, accurate and reproducible 4D bioinformatics data with PaSER

In this interview, Chris Adams Ph.D., Business Development Director, Global Bioinformatics, Life Science Mass Spectrometry at Bruker Daltonics, Billerica, MA, USA talks to News-Medical Life Sciences about acquiring real-time, accurate and reproducible 4D-proteomics data with PaSER.

From Bruker Life Sciences Mass Spectrometry 20 Apr 2022

Study evaluates community-level influences on COVID-19 incidence in England and their variations over time

Researchers assessed community-level impacts on SARS-CoV-2 prevalence in England.

20 Apr 2022

Automated system can offer great potential for the treatment of bloodstream infections

When treating acute infections in patients, health care providers must be able to quickly and accurately identify the best antibiotics for fighting the infection.

19 Apr 2022

Researchers investigate COVID-19 data with logistic regression model training

A new study investigated how logistic regression model training affects performance, and which features are best to include when examining datasets from individuals suffering from COVID-19.

19 Apr 2022

New bioinformatics platform predicts optimal treatment combinations for cancer patients

Researchers at The University of Texas MD Anderson Cancer Center have developed a new bioinformatics platform that predicts optimal treatment combinations for a given group of patients based on co-occurring tumor alterations.

12 Apr 2022

Structural MRI scans of the brain may help guide treatment decisions for mental health disorders

The brain structure of patients with recent onset psychosis and depression can offer important biological insights into these illnesses and how they might develop.

12 Apr 2022

Machine-learning approach predicts development of conduct disorder with high accuracy

Conduct disorder (CD) is a common yet complex psychiatric disorder featuring aggressive and destructive behavior.

12 Apr 2022

Challenges, unmet needs and future opportunities in COVID-19 therapeutics

In a recent article published in the journal Proceedings of the National Academy of Sciences (PNAS), researchers reviewed the present-day therapeutic landscape of coronavirus disease 2019 (COVID-19) and addressed future opportunities to overcome challenges that hinder drug development and improve the global preparedness for future pandemics.

10 Apr 2022

Machine learning and proteomics predict cardiovascular risk more accurately

An innovative proteomics-based model that predicts the risk of cardiovascular events with higher accuracy than current clinical models.

10 Apr 2022

Artificial intelligence model could predict side effects resulting from new combination therapies

Preliminary data from an artificial intelligence model could potentially predict side effects resulting from new combination therapies, according to results presented at the AACR Annual Meeting 2022, held April 8-13.

8 Apr 2022

Exploring SARS-CoV-2 detection by profiling micro RNAs

A new study analyzed the micro ribonucleic acid profiles in nasal swabs collected from COVID-19 patients.

8 Apr 2022

Machine learning model can identify people with PTSD by analyzing text data

University of Alberta researchers have trained a machine learning model to identify people with post-traumatic stress disorder with 80 per cent accuracy by analyzing text data.

7 Apr 2022

New ML models show high accuracy in predicting complications after abdominal hernia repair

Machine learning (ML) models developed by surgeons at the University of Texas MD Anderson Cancer Center in Houston have shown a high level of accuracy in predicting which types of patients are most likely to have a hernia recurrence or other complications.

7 Apr 2022

Researchers obtain a treasure trove of new data about RNA viruses from ocean water samples

Ocean water samples collected around the world have yielded a treasure trove of new data about RNA viruses, expanding ecological research possibilities and reshaping our understanding of how these small but significant submicroscopic particles evolved.

7 Apr 2022

Study suggests blunted serological responses not responsible for COVID-19 mortality

A new study investigated serological profiling to determine the antibody responses in critically ill COVID-19 positive and negative patients.

7 Apr 2022

Using structured gaussian processing algorithm for spatiotemporal prediction of COVID-19 pandemic in the US

Researchers identified spatial/geographical features associated with increased COVID-19 cases and death counts in the US across different temporal phases of the pandemic.

6 Apr 2022

AI helps identify areas in need of emergency aid

In a recent study published in the journal Nature, researchers developed and evaluated an approach that used machine-learning algorithms to analyze mobile phone and satellite data to estimate poverty. They aimed to optimize the ‘Novissi’ flagship emergency social assistance program in Togo, West Africa, providing subsistence cash relief to those most affected by COVID-19.

4 Apr 2022

AI-based model can use ECG images to diagnose multiple heart rhythm and conduction disorders

Researchers at the Yale Cardiovascular Data Science (CarDS) Lab have developed an artificial intelligence (AI)-based model for clinical diagnosis that can use electrocardiogram (ECG) images, regardless of format or layout, to diagnose multiple heart rhythm and conduction disorders.

31 Mar 2022

Revolutionizing the fluorescence microscopy landscape with the all-in-one Microhub, Mica

In this interview, News-Medical talks to James O'Brien, Vice President at Leica Microsystems, about their latest development, the Mica microhub, and how this could revolutionize and advance the field of fluorescence microscopy.

From Leica Microsystems GmbH 30 Mar 2022

Novel sensor could revolutionize COVID-19 virus testing

A COVID-19 sensor developed at Johns Hopkins University could revolutionize virus testing by adding accuracy and speed to a process that frustrated many during the pandemic.

30 Mar 2022

Machine Learning News and Research

Acquiring real-time, accurate and reproducible 4D bioinformatics data with PaSER

Study evaluates community-level influences on COVID-19 incidence in England and their variations over time

Automated system can offer great potential for the treatment of bloodstream infections

Researchers investigate COVID-19 data with logistic regression model training

New bioinformatics platform predicts optimal treatment combinations for cancer patients

Structural MRI scans of the brain may help guide treatment decisions for mental health disorders

Machine-learning approach predicts development of conduct disorder with high accuracy

Challenges, unmet needs and future opportunities in COVID-19 therapeutics

Machine learning and proteomics predict cardiovascular risk more accurately

Artificial intelligence model could predict side effects resulting from new combination therapies

Exploring SARS-CoV-2 detection by profiling micro RNAs

Machine learning model can identify people with PTSD by analyzing text data

New ML models show high accuracy in predicting complications after abdominal hernia repair

Researchers obtain a treasure trove of new data about RNA viruses from ocean water samples

Study suggests blunted serological responses not responsible for COVID-19 mortality

Using structured gaussian processing algorithm for spatiotemporal prediction of COVID-19 pandemic in the US

AI helps identify areas in need of emergency aid

AI-based model can use ECG images to diagnose multiple heart rhythm and conduction disorders

Revolutionizing the fluorescence microscopy landscape with the all-in-one Microhub, Mica

Novel sensor could revolutionize COVID-19 virus testing

AI In Healthcare eBook

Achieving and maintaining ISO/IEC 27001 and BS 10012 certifications

Expanding research and clinical options for children with cancer

Examining how pain could play a direct protective role in the gut

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