Machine Learning News and Research

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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

Mobile robot detects social distancing breaches to reduce the spread of COVID-19

A new strategy to reduce the spread of COVID-19 employs a mobile robot that detects people in crowds who are not observing social-distancing rules, navigates to them, and encourages them to move apart.

4 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 identifies patterns on CT scans that offer new promise for treating small cell lung cancer

Researchers at the Center for Computational Imaging and Personalized Diagnostics at Case Western Reserve University have used artificial intelligence (AI) to identify patterns on computed tomography (CT) scans that offer new promise for treating patients with small cell lung cancer.

23 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

Scientists can read the brain activity of tiny worm to predict smells

It sounds like a party trick: scientists can now look at the brain activity of a tiny worm and tell you which chemical the animal smelled a few seconds before.

21 Nov 2021

Researchers discover new link between diet, intestinal stem cells and disease

The intestine is essential for maintaining our energy balance and is a master at reacting quickly to changes in nutrition and nutrient balance.

21 Nov 2021

Sharing large-scale health data to drive forward precision medicine

Precision medicine requires big data. In order to improve the treatment of individuals with cancer, or to understand rare diseases, scientists and clinicians, as well as AI technologies require access to larger sets of health research data that covers diverse populations and wide ranges of conditions.

20 Nov 2021

NAU team receives $3 million from NSF to translate the codex contained in algal microbiome

The tiny cosmos of organisms living on a streamer of algae in a river - the algal microbiome - could help scientists learn what turns an environment from healthy to toxic and back again.

20 Nov 2021

Predicting the capacity of mammal species to become zoonotic SARS-CoV-2 hosts

Researchers identified a subset of species in which the threat of spillback infection appears the most significant due to location and increased contact with humans in areas with a high prevalence of SARS-CoV-2.

19 Nov 2021

Machine Learning News and Research

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

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

Mobile robot detects social distancing breaches to reduce the spread of COVID-19

AI-driven medical imaging may help fight against rectal cancer

New machine learning model reduces uncertainty in detection of breast cancer

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

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

Assessing optimal stroke treatment using CTA imaging

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

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

Innovative algorithm predicts COVID-related intensive care unit resource use

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

AI identifies patterns on CT scans that offer new promise for treating small cell lung cancer

AI could help better diagnose blood diseases

Powerful database focuses on disarming deadly superbugs

Scientists can read the brain activity of tiny worm to predict smells

Researchers discover new link between diet, intestinal stem cells and disease

Sharing large-scale health data to drive forward precision medicine

NAU team receives $3 million from NSF to translate the codex contained in algal microbiome

Predicting the capacity of mammal species to become zoonotic SARS-CoV-2 hosts

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