Machine Learning News and Research

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Machine learning method for determining impact of mutations in the SARS-CoV-2 RBD on binding and antibody escape

Deep mutational learning (DML) is a technique developed by researchers from multiple institutions that combines experimental yeast display screening of RBD mutagenesis libraries with deep sequencing and machine learning.

14 Dec 2021

Digital interventions may help meet the growing demand for psychological treatment

The COVID-19 pandemic has had a major impact on mental health across the globe. Depression is predicted to be the leading cause of lost life years due to illness by 2030.

13 Dec 2021

Novel AI score predicts risk of death in patients with suspected or known coronary artery disease

A novel artificial intelligence score provides a more accurate forecast of the likelihood of patients with suspected or known coronary artery disease dying within 10 years than established scores used by health professionals worldwide.

11 Dec 2021

iVention joins the Tetra Partner Network to meet customer demand for data-engineered scientific workflows

TetraScience, the R&D Data Cloud company, announced today that iVention, maker of a powerful Laboratory Execution System, has joined the Tetra Partner Network to meet customer requirements that all of their scientific data be engineered, liquid, and actionable so that they can accelerate delivery of life-saving medicines.

From TetraScience, Inc. 8 Dec 2021

Study analyzes the contribution of AI to cancer patient care and vaccine design

Artificial Intelligence/Machine Learning (AI/ML) is the development of computer systems that are able to perform tasks that would normally require human intelligence. AI/ML is used by people every day, for example, while using smart home devices or digital voice assistants.

8 Dec 2021

AI-based technology to identify patients at risk of serious illness as a result of blood infections

A new technology developed at Tel Aviv University will make it possible, using artificial intelligence, to identify patients who are at risk of serious illness as a result of blood infections.

8 Dec 2021

Novel AI-based system models the progression of chronic diseases as patients age

Using artificial intelligence, a team of University at Buffalo researchers has developed a novel system that models the progression of chronic diseases as patients age.

7 Dec 2021

COVID-19 severity is correlated with T cell receptor repertoire signatures

In a new study published in the bioRxiv* preprint server, researchers found that specific TCR sequences predicted the severity of coronavirus disease 2019 (COVID-19) infection. Additionally, there was evidence of increased CDR3 sequences and changes in k-mer motifs for patients with severe illness.

6 Dec 2021

New approach to COVID-19 immune profiling using blood-based machine learning

A new study discusses the application of a novel deconvolution model AImmune to predict moderate and severe cases of COVID-19.

5 Dec 2021

AI-driven medical imaging may help fight against rectal cancer

Building on its successes in applying artificial intelligence (AI) to medical imaging to enhance treatment of other diseases, a Case Western Reserve University-led team next will test its approach with rectal cancer patients.

4 Dec 2021

New machine learning model reduces uncertainty in detection of breast cancer

Breast cancer is the most common cancer with the highest mortality rate. Swift detection and diagnosis diminish the impact of the disease.

1 Dec 2021

'Biosensor barcodes' can identify and track how cancer cells 'talk' to each other

Ever since the first barcode appeared on a pack of chewing gum in 1974, the now-ubiquitous system has enabled manufacturers, retailers and consumers to quickly and effectively identify, characterize, locate and track products and materials.

30 Nov 2021

Genetic variations affect and rewire phosphorylation signaling networks in SARS-CoV-2 infection

Researchers study human single nucleotide variants (SNVs) using machine learning to identify amino acid changes that alter kinase-bound sequence motifs.

29 Nov 2021

Assessing optimal stroke treatment using CTA imaging

Professor Gilberto Gonzalez discusses using a common imaging technique to decide on the best course of treatment for large vessel occlusion stroke patients.

29 Nov 2021

Prediction of severe infection based on SARS-CoV-2 genomic analysis

A group of researchers have used these SARS-CoV-2 sequence data and developed an algorithm to predict severity based upon viral mutations.

26 Nov 2021

New AI predictive algorithm greatly improves timeliness and accuracy of sepsis predictions

Each year, sepsis affects more than 30 million people worldwide, causing an estimated six million deaths. Sepsis is the body's extreme response to an infection and is often life-threatening.

25 Nov 2021

Innovative algorithm predicts COVID-related intensive care unit resource use

The COVID-19 pandemic is on the rise in many European countries, and hospitals world wide are under maximum pressure.

24 Nov 2021

New "image analysis pipeline" provides insight into how disease changes the body

A new "image analysis pipeline" is giving scientists rapid new insight into how disease or injury have changed the body, down to the individual cell.

24 Nov 2021

AI could help better diagnose blood diseases

How can we better diagnose blood diseases? A research group led by Helmholtz Munich aims to answer this question with artificial intelligence (AI).

22 Nov 2021

Powerful database focuses on disarming deadly superbugs

Disarming superbugs that can cause deadly infections is the focus of a powerful database now housed at The University of Queensland.

21 Nov 2021