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ACR TI-RADS, deep learning algorithm offer alternative strategies for evaluating thyroid nodules

According to an accepted manuscript published in ARRS' American Journal of Roentgenology (AJR), ACR TI-RADS and a deep learning algorithm trained on adult populations offer alternative strategies for evaluating thyroid nodules in children and younger adults, including guiding decisions to perform fine-needle aspiration.

19 Oct 2022

UTA engineer will use deep-learning tools to pinpoint types of Alzheimer's disease-related dementias

A University of Texas at Arlington computer science engineer will advance and integrate powerful deep-learning methods and tools to pinpoint types of Alzheimer's disease-related dementias (ADRD), which in turn could help the medical community better treat those diseases.

17 Oct 2022

Deep learning software helps to identify miniscule bacteria in microscopy images

Omnipose, a deep learning software, is helping to solve the challenge of identifying varied and miniscule bacteria in microscopy images.

17 Oct 2022

Self-teaching deep learning algorithm can find similar cases in large pathology image repositories

Rare diseases are often difficult to diagnose and predicting the best course of treatment can be challenging for clinicians.

10 Oct 2022

Sartorius releases the 6th edition of its popular live-cell analysis handbook

Sartorius, a leader in new technologies for real-time, live-cell imaging and analysis, has released the 6th edition of its popular Live-Cell Analysis Handbook.

From Sartorius 10 Oct 2022

The effect of ORF3c, a SARS-CoV-2 accessory protein, on cellular innate immune responses, autophagy, and lung cell mitochondrial metabolism

Researchers explored the role of the ORF3c, a SARS-CoV-2 accessory protein not so extensively studied as yet.

7 Oct 2022

Omicron reduces host antibody response by lower B-cell antigenicity

A new study explores the functional relevance of some Omicron mutations in terms of their ability to escape neutralizing antibody responses.

4 Oct 2022

AI-based drug screening process could speed up the development of life-saving medicines

Developing life-saving medicines can take billions of dollars and decades of time, but University of Central Florida researchers are aiming to speed up this process with a new artificial intelligence-based drug screening process they've developed.

22 Sep 2022

Mount Sinai researchers use unbiased AI-based method to study the causes of cognitive impairment

Mount Sinai researchers have used novel artificial intelligence methods to examine structural and cellular features of human brain tissues to help determine the causes of Alzheimer's disease and other related disorders.

21 Sep 2022

Smartphones can detect blood oxygen saturation levels down to 70%, study shows

First, pause and take a deep breath. When we breathe in, our lungs fill with oxygen, which is distributed to our red blood cells for transportation throughout our bodies. Our bodies need a lot of oxygen to function, and healthy people have at least 95% oxygen saturation all the time.

19 Sep 2022

Deep AI models fail to capture the configural nature of human shape perception

Deep convolutional neural networks (DCNNs) don't see objects the way humans do – using configural shape perception – and that could be dangerous in real-world AI applications, says Professor James Elder, co-author of a York University study published today.

16 Sep 2022

Machine learning can help create proteins much more accurately, quickly than previously possible

Over the past two years, machine learning has revolutionized protein structure prediction. Now, three papers in Science describe a similar revolution in protein design.

15 Sep 2022

AI used to identify pancreatic cancer in CT scans

In a recent study published in the journal Radiology, researchers in Taiwan developed a deep learning (DL)–based computer-aided detection (CAD) tool to detect pancreatic cancer on contrast-enhanced abdominal computed tomography (CT) scans.

15 Sep 2022

Study reveals cellular underpinnings of motor memory acquisition and consolidation

When you are first learning how to ride a bicycle or play a musical instrument, your physical movements are uncoordinated at best.

14 Sep 2022

AI system can quickly and automatically evaluate chest X-rays for TB

An artificial intelligence system detects tuberculosis (TB) in chest X-rays at a level comparable to radiologists, according to a study published in Radiology, a journal of the Radiological Society of North America.

13 Sep 2022

Deep learning tool highly effective at detecting pancreatic cancer on CT

An artificial intelligence (AI) tool is highly effective at detecting pancreatic cancer on CT, according to a study published in Radiology, a journal of the Radiological Society of North America.

13 Sep 2022

New CT technology paired with deep learning denoising enables better detection of multiple myeloma bone disease

New CT technology paired with artificial intelligence (AI)-based noise reduction offers superior detection of bone disease associated with multiple myeloma at lower radiation doses than conventional CT, according to a new study published in Radiology, a journal of the Radiological Society of North America.

6 Sep 2022

Using deep learning to guide the selection of chemotherapy after surgery for colorectal cancer patients

Among patients with colorectal cancer spread to lymph nodes, a deep learning marker can identify one-third with excellent prognosis and consequently no need for adjuvant chemotherapy.

30 Aug 2022

Researchers receive $1.2 million Keck Foundation grant to find molecules for targeting the 'undruggable proteome'

The W.M. Keck Foundation has awarded a $1.2 million grant to medicinal chemistry and computational biology researchers at the University of Kansas and the University of Chicago focused on addressing a long-unresolved problem in biomedical research -; finding molecules able to target the "undruggable proteome."

29 Aug 2022

Trial shows superiority of AI in assessing cardiac function to sonographer assessment

In patients undergoing echocardiographic evaluation of cardiac function, preliminary assessment by artificial intelligence (AI) is superior to initial sonographer assessment, according to late breaking research presented in a Hot Line session today at ESC Congress 2022.

28 Aug 2022