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Researchers develop a computational model to accurately predict lethal brain tumor growth

Researchers at the University of Waterloo have created a computational model to predict the growth of deadly brain tumors more accurately.

16 Jan 2023

Researchers unveil new methods for DNA mosaic recognition

As humans, we each have trillions of cells. And each cell has a nucleus with individual genetic information –DNA – that can mutate to create an abnormality.

13 Jan 2023

The nature of general visual category representations for various object categories in 6- to 8-month-old infants

The scientists performed multivariate analysis on a multivariate classification framework and compared infant and adult EEG quantitative data and deep learning models.

9 Jan 2023

Deep learning tool identifies mosaic mutations that cause disease

Genetic mutations cause hundreds of unsolved and untreatable disorders. Among them, DNA mutations in a small percentage of cells, called mosaic mutations, are extremely difficult to detect because they exist in a tiny percentage of the cells.

2 Jan 2023

AI method can make time-sensitive, critical diagnosis easier and more accessible to pathologists

When a patient undergoes a surgical operation to remove a tumor or treat a disease, the course of surgery is often not predetermined.

23 Dec 2022

New technology could increase scan speeds of three-dimensional MRIs

Nicholas Dwork, PhD, assistant professor in the Department of Biomedical Informatics at the University of Colorado School of Medicine, has filed a provisional patent for a technology that could increase scan speeds of three-dimensional magnetic resonance imaging (MRI).

6 Dec 2022

AI could make doctors’ work simpler, faster, and more precise

One in nine women in the developed world will be diagnosed with breast cancer at some point in her life. The prevalence of breast cancer is increasing, an effect caused in part by the modern lifestyle and increased lifespans.

2 Dec 2022

Collaborative work unravels hidden molecular secrets of age-related diseases

Insilico Medicine, a clinical-stage end-to-end artificial intelligence (AI)-driven drug discovery company, and the University of Copenhagen announced today the release of the first batch of results from the collaborative work directed to perform multi-omics-based analyses in the context of age-related diseases using an AI-driven target and drug discovery pipeline.

2 Dec 2022

Fingerprint-embedding framework can help find novel drug candidates

Researchers have developed a new computer framework that holds promise in the work to discover new drugs. Their framework uses an artificial intelligence method called convolutional neural network to provide global information about potential novel drug candidates.

30 Nov 2022

Deep learning model uses a single chest X-ray to predict heart disease risk

Researchers have developed a deep learning model that uses a single chest X-ray to predict the 10-year risk of death from a heart attack or stroke, stemming from atherosclerotic cardiovascular disease.

29 Nov 2022

Machine learning algorithm predicts a tumor’s response to immune checkpoint blockade

Predicting which patients will respond well to treatment is a quandary that has plagued the field of cancer immunotherapy for more than four decades.

16 Nov 2022

New, automated system calculates metabolic tumor volume in diffuse large B-cell lymphoma

Researchers at Sylvester Comprehensive Cancer Center at the University of Miami Miller School of Medicine have developed a new, automated way to calculate metabolic tumor volume (MTV) in diffuse large B-cell lymphoma (DLBCL).

15 Nov 2022

What are the current challenges and future directions of mRNA nanomedicine?

Researchers presented challenges related to the clinical translation of messenger ribonucleic acid (mRNA) technology, recent innovations and future directions to improve the clinical efficacy of mRNA nanomedicine.

15 Nov 2022

UTA researcher aims to develop assistive robots to help people with spinal cord injuries

A University of Texas at Arlington computer science researcher is developing a robotic system that helps people with spinal cord injuries perform everyday tasks, and she's involving members of the UTA Movin' Mavs wheelchair basketball team in the effort.

4 Nov 2022

Accelerating Scientific Discoveries through Advanced Data Analysis Platforms

In this interview, we speak to Victor Wong, Chief Scientific Officer at Core Life Analytics, about their StratoMineRTM product and how it helps researchers to rapidly process their data.

From Core Life Analytics 3 Nov 2022

New evaluation data shows the clinical utility of SOPHiA DDM Dx HRD Solution

SOPHiA GENETICS, a cloud-native software company in the healthcare space, debuted new data at the European Society of Gynaecological Oncology (ESGO) Congress as part of a poster (#PA-065) presented by Prof. Alexandre Harlé of the Institut de Cancérologie de Lorraine, France.

3 Nov 2022

Researchers use deep neural networks to virtually stain microscopic images of unlabeled tissue

In the hospital, there is a group of doctors who use tissue samples as "evidence materials", analyze the evidence using knives, slicers and microscopes to extract clues from the tissue samples, and provide patients with "verdicts" -; diagnostic reports.

31 Oct 2022

AI models improve the accuracy of diagnosing coronary artery disease

Several recent discoveries show that the accuracy of diagnosing coronary artery disease and predicting patient risk is improved with the help of artificial intelligence (AI) models developed by scientists in the Division of Artificial Intelligence in Medicine at Cedars-Sinai.

28 Oct 2022

During sleep, the hippocampus and neocortex interact in ways that are key to memory formation

Using a neural network model, Penn neuroscientist Anna Schapiro and colleagues found that as the body moves between REM and slow-wave sleep cycles, the hippocampus and neocortex interact in ways that are key to memory formation.

25 Oct 2022

Applications of artificial intelligence in COVID-19 clinical response measures

Researchers reviewed existing literature on the use of AI in health care, to characterize the AI applications used in clinical applications during the COVID-19 pandemic, investigate the location, timing, and extent of AI use in healthcare, and examine the U.S. regulatory approval processes.