Deep Learning News and Research

RSS

Artificial intelligence for predicting TMB-H colorectal cancer from histopathological characteristics

Biomarkers are important determinants of appropriate and effective therapeutic approaches for various diseases including cancer.

14 Jun 2021

Advanced AI technique can accurately predict major adverse cardiac events

An advanced artificial intelligence technique known as deep learning can predict major adverse cardiac events more accurately than current standard imaging protocols, according to research presented at the Society of Nuclear Medicine and Molecular Imaging 2021 Annual Meeting.

13 Jun 2021

Identifying genomic subtypes of pancreatic cancer from histology slides using AI-based tool

AP-HP Greater Paris University Hospitals, the leading European clinical trial center with the largest amount of healthcare data in France dedicated to research and Owkin, a startup pioneering Federated Learning and AI technologies for medical research and clinical development, announced the recent results of their ongoing strategic collaboration at ASCO 2021.

10 Jun 2021

Researchers develop new method to make CRISPR gene editing more precise

CRISPR Researchers from Aarhus University and University of Copenhagen have developed a new method, which makes CRISPR gene editing more precise than conventional methods.

10 Jun 2021

Experts in camouflage breaking can accurately detect target in less than a second,

After looking for just one-twentieth of a second, experts in camouflage breaking can accurately detect not only that something is hidden in a scene, but precisely identify the camouflaged target, a skill set that can mean the difference between life and death in warfare and the wild, investigators report.

9 Jun 2021

AI-powered tool could accelerate the diagnosis of cardiovascular diseases

A team of researchers from Nanyang Technological University, Singapore, Ngee Ann Polytechnic, Singapore, and the National Heart Centre Singapore have invented a tool that could speed up the diagnosis of cardiovascular diseases.

8 Jun 2021

MIT researchers develop a molecular assay to detect sub-picomolar levels of the SARS-CoV-2's receptor-binding domain

A team of researchers at MIT has developed a molecular assay to detect sub-picomolar levels of the SARS-CoV-2’s spike protein receptor-binding domain (S-RBD) using computationally validated peptide beacons in a single-step detection through the production of a fluorescence signal.

8 Jun 2021

Using AI to fight COVID-19

A study based in Taiwan and published in the Journal of Clinical Medicine focuses on the role of AI in managing COVID-19 through digital images, clinical and laboratory analysis such as screening and diagnosis.

7 Jun 2021

AI models look for shortcuts that could lead to errors in diagnosis of COVID-19

Artificial intelligence promises to be a powerful tool for improving the speed and accuracy of medical decision-making to improve patient outcomes.

31 May 2021

AI technology can assess COVID-19 severity with a promising degree of accuracy

Artificial intelligence (AI) technology developed by researchers at the University of Waterloo is capable of assessing the severity of COVID-19 cases with a promising degree of accuracy.

29 May 2021

Unique combination of AI-based diagnostic processes protects data privacy

Digital medicine is opening up entirely new possibilities. For example, it can detect tumors at an early stage. But the effectiveness of new AI algorithms depends on the quantity and quality of the data used to train them.

26 May 2021

New technology makes it easier to diagnose neurodegenerative diseases

A new combination of optical coherence tomography (OCT), adaptive optics and deep neural networks should enable better diagnosis and monitoring for neuron-damaging eye and brain diseases like glaucoma.

25 May 2021

New AI tool predicts the extent of chronic damage in the kidney

Chronic kidney disease (CKD) is caused by diabetes and hypertension. In 2017, the global prevalence of CKD was 9.1 percent, which is approximately 700 million cases.

24 May 2021

Covid-19 patients show reduced gray matter volume in the brain

Covid-19 patients who receive oxygen therapy or experience fever show reduced gray matter volume in the frontal-temporal network of the brain, according to a new study led by researchers at Georgia State University and the Georgia Institute of Technology.

12 May 2021

Automated machine learning predicts male infertility based on Johnsen score

Infertility affects females and males equally. In male infertility, azoospermia (a medical condition with no sperm in semen) is a major problem that prevents a couple from having a child.

11 May 2021

IBEC researchers discover the neural mechanism of autonomous learning

Thanks to the so-called deep learning, a subset of artificial intelligence (AI) algorithms inspired by the brain, machines can match human performance in perception and language recognition and even outperform humans in certain tasks. But do these synthetic biologically inspired systems learn in the same way that we do?

3 May 2021

$AI system can effectively detect common wrist fractures$

AI system can effectively detect common wrist fractures

An automated system that uses artificial intelligence (AI) is effective at detecting a common type of wrist fracture on X-rays, according to a study published in the journal Radiology: Artificial Intelligence. Researchers said the AI-derived algorithm could help speed diagnosis and allow earlier treatment.

28 Apr 2021

Researchers propose new deep learning-based model for cross-lingual voice conversion

Robots today have come a long way from their early inception as insentient beings meant primarily for mechanical assistance to humans. Today, they can assist us intellectually and even emotionally, getting ever better at mimicking conscious humans.

27 Apr 2021

New platform helps non-experts use AI to analyze microscopy images

A new, freely available platform helps non-experts use artificial intelligence to analyze microscopy images. The platform has been developed at Åbo Akademi University in Finland and Instituto Gulbenkian de Ciência, Portugal, and will be of big help in research and diagnostics using modern day microscopes.

23 Apr 2021

AI-driven system for automatically detecting abnormalities on brain MRI could speed up care

An artificial intelligence-driven system that automatically combs through brain MRIs for abnormalities could speed care to those who need it most, according to a study published in Radiology: Artificial Intelligence.

21 Apr 2021