Deep Learning News and Research

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Fast and accurate automatic neuron reconstruction using 3D images

Dr. Shuiwang Ji, a professor in the Department of Computer Science and Engineering at Texas A&M University, is part of a collaborative research community that recently had its paper titled "BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets" published in the April issue of the journal Nature Methods.

26 May 2023

Scientists use AI to identify new antibiotic that could fight drug-resistant infections

Using an artificial intelligence algorithm, researchers at MIT and McMaster University have identified a new antibiotic that can kill a type of bacteria that is responsible for many drug-resistant infections.

25 May 2023

OpenAI's ChatGPT shows promise as a fertility advisor, despite limitations

Researchers use fertility as a domain to test ChatGPT’s performance and assess its usage as a clinical tool.

25 May 2023

Deep learning–based computer-aided diagnosis for breast lesion classification

According to an accepted manuscript published in ARRS' own American Journal of Roentgenology (AJR), deep learning–based computer-aided diagnosis (CAD) for breast lesion classification on ultrasound significantly improved radiologists' diagnostic performance-;particularly for reducing the frequency of benign breast biopsies.

25 May 2023

Detecting mental disorders with data from wearables

Depression and anxiety are among the most common mental health disorders in the United States, but more than half of people struggling with the conditions are not diagnosed and treated.

23 May 2023

AI-based method predicts small molecule substrates of enzymes

Enzymes are the molecule factories in biological cells. However, which basic molecular building blocks they use to assemble target molecules is often unknown and difficult to measure.

22 May 2023

Hand-gesture decoding using data from noninvasive brain imaging

Researchers from University of California San Diego have found a way to distinguish among hand gestures that people are making by examining only data from noninvasive brain imaging, without information from the hands themselves.

19 May 2023

Robo-diets: can ChatGPT formulate safe dietary advice?

Researchers investigate the accuracy and safety of ‘robo-diets’.

15 May 2023

Deep generative models to generate hypothetical SARS-CoV-2 spike sequences

Scientists explore the use of deep generative models in producing complete instances of as-yet undiscovered SARS-CoV2 Spike protein sequences. The resulting models substantially outperform a state-of-the-art generative model for protein sequences finetuned on SARS-CoV2 data.

14 May 2023

AI algorithms for rare disease diagnosis ignore the genetic, morphological diversity of humans

Up to 40% of rare diseases show facial alterations that enable researchers to identify some pathologies and they can even help them to establish an early diagnosis.

10 May 2023

New advanced AI system shows accuracy and speed in identifying protein patterns

A new advanced artificial intelligence (AI) system has shown world-leading accuracy and speed in identifying protein patterns within individual cells.

10 May 2023

Can artificial intelligence help predict the risk of pancreatic cancer using disease trajectories?

Researchers designed surveillance programs for the early detection of patients at elevated risk of pancreatic cancer.

10 May 2023

Eye-opening AI: ChatGPT takes on ophthalmology exam with promising results

A recent study evaluates the performance of ChatGPT, an AI chatbot, in ophthalmology by analyzing its successes and shortcomings.

8 May 2023

UVA researcher receives Trailblazer R21 Award to improve cardiac resynchronization therapy outcomes

Pacemakers and other implantable devices that restore normal heart rhythms have saved millions of lives.

8 May 2023

Researchers develop a deep learning model to classify cancer cells by type

Cancer cells that initiate metastasis, or the spread of the disease from its primary location, are different from cancer cells that stay in the original tumor. Distinguishing metastasis-initiating cell types can determine the severity of cancer and help medical practitioners decide on a course of treatment.

2 May 2023

Revolutionizing drug discovery: Giga-scale screening unleashes power of AI and virtual libraries

Research discusses recent advances in computer-aided drug discovery, including the use of virtual screening and deep learning methods and their potential to revolutionize the drug discovery process by identifying diverse, potent, and drug-like ligands to protein targets.

28 Apr 2023

New deep learning AI model can help screen for retinopathy of prematurity in infants

The team developed a deep learning AI model that can identify which at-risk infants have ROP that may lead to blindness if left untreated, and they hope their technique could improve access to screening in the many areas with limited neonatal services and few trained ophthalmologists.

27 Apr 2023

AI-collected data could compromise the understanding of early sleep patterns

A dearth of pediatric data collected using artificial intelligence (AI) tools could compromise the understanding of early sleep patterns.

26 Apr 2023

Unlocking the potential of RNA lipid nanoparticles to revolutionize cancer treatment

This paper discusses the use of RNA lipid nanoparticles for cancer immunotherapy, which has shown promising results in clinical use. However, only a small percentage of patients respond to existing immunotherapies, and the paper explores opportunities for improvement.

18 Apr 2023

Researchers use AI and Twitter to create anxiety, depression prediction models

Researchers at the University of São Paulo (USP) in Brazil are using artificial intelligence (AI) and Twitter, one of the world's largest social media platforms, to try to create anxiety and depression prediction models that could in future provide signs of these disorders before clinical diagnosis.

10 Apr 2023