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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

New deep learning-based model estimates breast density with high precision

Breast cancer is the most common cancer to affect women worldwide. According to the American Cancer Society, about 1 in 8 women in the United States will develop breast cancer in their lifetime.

7 Apr 2023

Yale-led team creates new resource that is an important step toward personalized care

Each person has about 4 million sequence differences in their genome relative to the reference human genome.

3 Apr 2023

Shape of the heart determines your risk for two common heart conditions

Curious to know if you're at risk for two common heart conditions? Your doctor may want to check the shape of your heart.

29 Mar 2023

AI-based design method synthesizes polymers that mimic blood plasma

Most life on Earth is based on polymers of 20 amino acids that have evolved into hundreds of thousands of different, highly specialized proteins. They catalyze reactions, form backbone and muscle and even generate movement.

20 Mar 2023

Could ChatGPT revolutionize obstetrics and gynecology?

The current study is a real-life demonstration of how ChatGPT could help users interested in OBG topics by making available introductory information about any area in this discipline.

17 Mar 2023

AI-based drug interaction prediction technology analyzes the interaction between Paxlovid ingredients

KAIST (President Kwang Hyung Lee) announced on the 16th that an advanced AI-based drug interaction prediction technology developed by the Distinguished Professor Sang Yup Lee's research team in the Department of Biochemical Engineering that analyzed the interaction between the PaxlovidTM ingredients that are used as COVID-19 treatment and other prescription drugs was published as a thesis.

16 Mar 2023

Scientists generate 3D ultra-resolution maps of mitochondrial networks in lung tumors

Scientists have long known that mitochondria, the "powerhouses" of cells, play a crucial role in the metabolism and energy production of cancer cells.

15 Mar 2023

New solution based on deep learning classifies epileptic events in near real-time

According to the World Health Organization, close to 50 million people worldwide suffer from epilepsy, a chronic neurological disease, whose seizures are considered one of the main symptoms.

14 Mar 2023

Deep learning–based method can accurately detect Alzheimer’s disease based on data from brain MRIs

Although investigators have made strides in detecting signs of Alzheimer's disease using high-quality brain imaging tests collected as part of research studies, a team at Massachusetts General Hospital (MGH) recently developed an accurate method for detection that relies on routinely collected clinical brain images.

3 Mar 2023

Novel software tool helps analyze animal behaviors

A team from the University of Michigan has developed a new software tool to help researchers across the life sciences more efficiently analyze animal behaviors.

25 Feb 2023

Prenatal alcohol exposure associated with the facial shape of children

Researchers have used artificial intelligence (AI) and deep learning technology to find a link between alterations in the shape of children's faces and the amount of alcohol their mothers drank, both before becoming pregnant and during pregnancy.

16 Feb 2023