Machine Learning News and Research

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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

The dynamics of the Omicron wave in England

Researchers investigated the transmission dynamics of SARS-CoV-2 VOC Omicron in England using PCR testing and genomic sequencing data from the REACT-1 study.

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

IU researchers aim to develop a tool for predicting lead exposure risk

Indiana University researchers are working with communities in Indiana and North Carolina to help test for lead in household dust, soil and water.

5 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

FDA requests nearly 34% increase in funding as part of the President’s fiscal year 2023 budget

Today, the U.S. Food and Drug Administration announced it is requesting a total budget of $8.4 billion as part of the President's fiscal year (FY) 2023 budget - a nearly 34% ($2.1 billion) increase over the agency's FY 2022 appropriated funding level for investments in critical public health modernization, core food safety and medical product safety programs and other vital public health infrastructure.

29 Mar 2022

Investigating SARS-CoV-2 detection using Raman microscopy

Researchers investigated the specific intracellular signature of SARS-CoV-2 infection using Raman microscopy.

29 Mar 2022

Computer algorithm predicts coronary artery disease-related events based on voice recordings

An artificial intelligence (AI)-based computer algorithm accurately predicted a person's likelihood of suffering heart problems related to clogged arteries based on voice recordings alone, in a study presented at the American College of Cardiology's 71st Annual Scientific Session.

24 Mar 2022

Powerful new Cytobank platform upgrade available from Beckman Coulter Life Sciences

Building on its legacy of providing labs with better solutions for analysis, management, and sharing of complex flow and mass cytometry data, Beckman Coulter Life Sciences announces a series of updates to its Cytobank platform.

From Beckman Coulter Life Sciences - Flow Cytometry 24 Mar 2022

Researchers aim to study the underlying pathophysiology of diastolic heart failure

Of the estimated five million patients in the U.S. diagnosed with heart failure annually, nearly half will have heart failure with preserved ejection fraction (HFpEF). Also known as diastolic heart failure, HFpEF occurs when the heart's lower left chamber loses its ability to relax and fill up with enough blood in between in each heartbeat.

23 Mar 2022

Machine Learning News and Research

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

The dynamics of the Omicron wave in England

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

IU researchers aim to develop a tool for predicting lead exposure risk

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

FDA requests nearly 34% increase in funding as part of the President’s fiscal year 2023 budget

Investigating SARS-CoV-2 detection using Raman microscopy

Computer algorithm predicts coronary artery disease-related events based on voice recordings

Powerful new Cytobank platform upgrade available from Beckman Coulter Life Sciences

Researchers aim to study the underlying pathophysiology of diastolic heart failure

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