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How artificial intelligence is poised to reshape medicine

In a recent review published in the journal of Nature Medicine, researchers discussed the results of a two-year weekly effort to track and communicate significant developments in medical (artificial intelligence) AI. They included prospective studies as well as developments in medical image analysis that have narrowed the gap between research and implementation.

24 Jan 2022

Researchers design neural network to predict severity of COVID-19 variants

In a new study, researchers predict the risk of infection with severe coronavirus disease 2019 from the sequence of the spike protein.

21 Jan 2022

New approach to help diabetes patients maintain healthy glucose levels

Before consuming a meal, many people with diabetes need to inject themselves with insulin. This is a time-consuming process that often requires estimating the carbohydrate content of the meal, drawing blood to measure blood glucose levels, and then calculating and delivering the correct insulin dose.

21 Jan 2022

'Retinal age gap' can be an independent predictor of increased mortality risk

The difference between the biological age of the retina, the light sensitive layers of nerve tissue at the back of the eye, and a person's real (chronological) age, is linked to their risk of death, finds research published online in the British Journal of Ophthalmology.

19 Jan 2022

Researchers construct models to predict SARS-CoV-2 mutable and constrained positions

In a study published in PNAS, researchers have attempted to create a model that can successfully predict which positions are likely to mutate in the future.

17 Jan 2022

New data fusion method classifies skin lesions more precisely than prior algorithms

Dermatologists typically classify skin lesions based on multiple data sources. Algorithms that fuse the information together can support this classification. An international research team has now developed an algorithm that classifies skin lesions more accurately than previous algorithms by using an improved data fusion process.

17 Jan 2022

Similarities and dissimilarities in immune responses and metabolism in SARS-CoV-2 and HIV-1 infections

A new study, posted to the bioRxiv* preprint server, has developed a single-cell atlas that presents the shared and distinct immune responses and metabolism following SARS-CoV-2 and HIV-1 infections.

13 Jan 2022

NAU bioengineer receives grant to improve the accuracy, fidelity of cardiovascular flow models

Accurately measuring blood flow is critical to the fundamental understanding of cardiovascular disease and clinical decision making. Although researchers have made great strides in computational and experimental blood flow modeling, reliable data is still difficult to generate in large quantities.

12 Jan 2022

AI-driven solution predicts RNA and DNA binding sites to accelerate rational drug discovery

The iMolecule group from Skoltech has developed an artificial intelligence-driven solution that uses data on the structure of RNA or DNA molecules to identify sites on them where interaction with potential drug candidates can occur.

11 Jan 2022

Social distancing surveillance: how robots will keep you in line

Could a COVID-19 robot help in social distancing surveillance? We spoke to Professor Dinesh Manocha and Adarsh Jagan Sathyamoorthy about how their new robot may be able to do just that.

10 Jan 2022

SARS-CoV-2 Omicron variant's infectivity, vaccine breakthrough, and antibody resistance

A recent study uses an artificial intelligence model to investigate Omicron's mutations and its infectivity, vaccine escape capability, and susceptibility to monoclonal antibodies.

10 Jan 2022

Identifying protein targets in SARS-CoV-2 via machine learning

A new study provides insight on using an ML-based algorithm to analyze and predict therapeutic targets in emerging pathogens with a range of mutations.

17 Dec 2021

Extensive dataset may help develop deeper insights in cognitive and computational neuroscience

Researchers from the University of Minnesota Medical School have published an extensive dataset that uses cutting-edge, high-field (7T) fMRI technology to probe how humans perceive, interpret and memorize naturalistic photographs.

16 Dec 2021

Shared moral concerns within online communities linked to increase in radical intentions

People whose moral beliefs and values align closely with other members of their online communities -; including those on social networks Gab and Reddit -; are more prone to radicalization, according to new USC research.

16 Dec 2021

Medical AI and radiologist experts may be vulnerable to adversarial attacks

Artificial intelligence (AI) models that evaluate medical images have potential to speed up and improve accuracy of cancer diagnoses, but they may also be vulnerable to cyberattacks.

14 Dec 2021

Optibrium Shows Deep Learning to Successfully Predict Human Panel-based Sensory Perception of Novel Compounds Used for Flavours and Fragrances

The study demonstrates accuracy and predictive capability of proprietary deep learning method for developing flavours and fragrances, and in drug discovery.

From Optibrium Ltd. 9 Dec 2021

AlphaFold AI predicts SARS-CoV-2 omicron variant might not evade antibody neutralization

In a new study, scientists have computationally predicted the structure of the Omicron spike RBD from available sequences and explored the dynamics of antigen-antibody interactions.

8 Dec 2021

Interactions between RNA viruses and human RNA-binding proteins

During the virus's attempt to use the host cell to replicate, host proteins interact heavily with the viral genome. Researchers have been investigating these interactions.

8 Dec 2021

Olympus scanR high-content screening station v. 3.3 adds improved deep-learning capabilities for fast, efficient image analysis

The scanR high-content screening station provides fully automated image acquisition and data analysis. Version 3.3 improves the deep-learning technology’s capabilities to reliably separate objects in biological samples using instance segmentation, the ability to detect and delineate distinct objects of interest in an image.

From Evident Corporation - Life Sciences 8 Dec 2021

Scientists identify molecular features of antibody responses to SARS-CoV-2 spike

New study identifies diverse molecular features of public antibody responses to SARS-CoV-2 spike protein.

5 Dec 2021