Deep Learning News and Research

RSS

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

Using AI to foster productivity in pharmaceutical research and development

As part of our SLAS Europe 2022 coverage, we speak to Sree Vadlamudi from Iktos, about how we can adopt AI to help foster productivity within pharmaceutical research.

From Society for Laboratory Automation and Screening (SLAS) 25 Aug 2022

Researchers combine AI with data to improve patient care and outcomes

Chenyang Lu, the Fullgraf Professor of computer science and engineering in the Washington University in St. Louis McKelvey School of Engineering, is combining artificial intelligence with data to improve patient care and outcomes.

23 Aug 2022

Researchers aim to create an AI algorithm for early detection of autism in children

Could artificial intelligence be used to assist with the early detection of autism spectrum disorder? That's a question researchers at the University of Arkansas are trying to answer. But they're taking an unusual tack.

22 Aug 2022

RapiD_AI as a novel disease and pandemic preparedness tool

researchers assessed the RapiD_AI framework for deployable AI for improved pandemic preparedness.

16 Aug 2022

Deep learning model can accurately show the presence and location of cancer in pathological images

A research team led by Professor Park Sang-Hyun of the Department of Robotics and Mechatronics Engineering (also in charge of the Artificial Intelligence major) at DGIST (President Kuk Yang) developed a weakly supervised deep learning model that can accurately show the presence and location of cancer in pathological images based only on data where the cancer is present. Existing deep learning models needed to construct a dataset, in which the location of the cancer was accurately drawn, to specify the cancer site.

12 Aug 2022