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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

Systematic survey of human SARS-CoV-2 monoclonal antibodies

Scientists have mined information from several research publications and patents to create a dataset of approximately 8000 human antibodies to the SARS-CoV-2 spike from more than 200 donors.

2 Dec 2021

Neural network 'hallucinates' proteins with new, stable structures

Just as convincing images of cats can be created using artificial intelligence, new proteins can now be made using similar tools. In a report in Nature, a team including researchers at the University of Washington, Rensselaer Polytechnic Institute, and Harvard University describe the development of a neural network that "hallucinates" proteins with new, stable structures.

1 Dec 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

New technique may be a significant leap forward in the understanding of human cells

Most human diseases can be traced to malfunctioning parts of a cell — a tumor is able to grow because a gene wasn't accurately translated into a particular protein or a metabolic disease arises because mitochondria aren't firing properly, for example. But to understand what parts of a cell can go wrong in a disease, scientists first need to have a complete list of parts.

24 Nov 2021

UCLA-developed new "virtual histology" technology may reduce need for skin biopsies

Instead of surgically removing a sample of skin, sending it to a lab and waiting several days for results, your dermatologist takes pictures of a suspicious-looking lesion and quickly produces a detailed, microscopic image of the skin.

18 Nov 2021

EuroEcho 2021 to highlight latest developments in cardiovascular imaging

Get ready for the latest developments in cardiovascular imaging - including gender differences and long COVID - at EuroEcho 2021, a scientific congress of the European Society of Cardiology (ESC).

16 Nov 2021

New AI application reads eye movements

Eye movements read by a new AI application can reveal thoughts, memories, goals — and brain diseases.

16 Nov 2021

Researchers develop AI-based method for identifying patients at risk of atrial fibrillation

Atrial fibrillation-;an irregular and often rapid heart rate-;is a common condition that often leads to the formation of clots in the heart that can travel to the brain to cause a stroke.

15 Nov 2021

MRI brain imaging biomarkers bring new levels of precision for prescribing antidepressants

Research led by UT Southwestern has identified MRI brain imaging biomarkers that bring new levels of precision for prescribing the most effective antidepressants.

9 Nov 2021

Experts create deep learning network capable of detecting disease biomarkers with high accuracy

Researchers are developing a deep learning network capable of detecting disease biomarkers with a much higher degree of accuracy.

28 Oct 2021

New approach to predict the enzyme activity using AI

Without enzymes, an organism would not be able to survive. It is these biocatalysts that facilitate a whole range of chemical reactions, producing the building blocks of the cells. Enzymes are also used widely in biotechnology and in our households, where they are used in detergents, for example.

20 Oct 2021

Deep learning algorithm can accurately detect molecular pathways, key mutations in colorectal cancer

A new deep learning algorithm created by researchers from the University of Warwick can pick up the molecular pathways and development of key mutations causing colorectal cancer more accurately than existing methods, meaning patients could benefit from targeted therapies with quicker turnaround times and at a lower cost.

20 Oct 2021

New AI-based computer algorithm may enable quicker diagnosis of heart failure

A special artificial intelligence (AI)-based computer algorithm created by Mount Sinai researchers was able to learn how to identify subtle changes in electrocardiograms (also known as ECGs or EKGs) to predict whether a patient was experiencing heart failure.

19 Oct 2021

A survey on computational methods in discovering protein inhibitors of SARS-CoV-2

Researchers review diverse computational methods for drug/inhibitor design and enzymes as potential targets for inhibitors to treat coronaviruses diseases.

12 Oct 2021

Machine learning algorithms accelerate the protein engineering process

Proteins are the molecular machines of all living cells and have been exploited for use in many applications, including therapeutics and industrial catalysts.

7 Oct 2021

Automated system based on AI helps rule out cancer in women with dense breasts

An automated system that uses artificial intelligence (AI) can quickly and accurately sift through breast MRIs in women with dense breasts to eliminate those without cancer, freeing up radiologists to focus on more complex cases, according to a study published in Radiology.

5 Oct 2021