Deep Learning News and Research

RSS

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

Novel AI tools accurately predict the role of DNA’s regulatory elements

Newly developed artificial intelligence (AI) programs accurately predicted the role of DNA's regulatory elements and three-dimensional (3D) structure based solely on its raw sequence, according to two recent studies in Nature Genetics.

9 Aug 2022

Proof-of-concept model uses AI to combine multiple types of data to predict cancer outcomes

While it's long been understood that predicting outcomes in patients with cancer requires considering many factors, such as patient history, genes and disease pathology, clinicians struggle with integrating this information to make decisions about patient care.

8 Aug 2022

Optical coherence tomography combined with machine learning to develop colorectal cancer imaging tool

A research team from the lab of Quing Zhu, the Edwin H. Murty Professor of Engineering in the Department of Biomedical Engineering at the McKelvey School of Engineering at Washington University in St. Louis, has combined optical coherence tomography (OCT) and machine learning to develop a colorectal cancer imaging tool that may one day improve the traditional endoscopy currently used by doctors.

4 Aug 2022

Novel algorithm provides rich, detailed information on protein location and function within a cell

Humans are good at looking at images and finding patterns or making comparisons. Look at a collection of dog photos, for example, and you can sort them by color, by ear size, by face shape, and so on. But could you compare them quantitatively? And perhaps more intriguingly, could a machine extract meaningful information from images that humans can't?

2 Aug 2022

AI image analysis tool enables insight creation without AI expertise

Leica Microsystems, a leader in microscopy and scientific instrumentation, has released a new version of its AI-powered image analysis solution, Aivia.

From Leica Microsystems GmbH 29 Jul 2022

New AI software can create proteins that may be useful as vaccines, cancer treatments

Scientists have developed artificial intelligence software that can create proteins that may be useful as vaccines, cancer treatments, or even tools for pulling carbon pollution out of the air.

21 Jul 2022

Simple, effective method can detect protein misfolding at an early stage of neurodegenerative disease

Neurodegenerative diseases like Alzheimer's disease or Parkinson's disease are caused by folding errors (misfolding) in proteins or peptides, i.e. by changes in their spatial structure.

20 Jul 2022

New microbiome-based predictive models to forecast human health outcomes

A new approach that uses artificial intelligence (AI) shows how to use microorganisms in the body and molecules in cells to predict human health outcomes, according to Penn State College of Medicine and University of Texas Southwestern Medical Center researchers.

19 Jul 2022

The role of FTIR in protein analysis and biomedical applications

Professor Dr. Werner Mantele is the Professor of Biophysics at Goethe University and Frankfurt University. With over 30 years of experience with spectroscopy, Dr. Mantele is an internationally-recognized expert in the analysis and detection of molecules.

From Thermo Fisher Scientific – Materials & Structural Analysis 18 Jul 2022