Deep Learning News and Research

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New model shows how the brain uses "gating" phenomenon to control information

Getting computers to "think" like humans is the holy grail of artificial intelligence, but human brains turn out to be tough acts to follow. T

17 Dec 2020

AI-powered psychological aging clocks interpret psychosocial factors

Deep Longevity, a firm that specializes in designing artificial intelligence (AI) to monitor human aging and prolong productive longevity, has launched the first AI-powered psychological aging clocks to inspect and decode the psychosocial factors with respect to aging.

17 Dec 2020

New method uses artificial intelligence to study live cells

Researchers have developed a new technique that combines label-free imaging with artificial intelligence to visualize unlabeled live cells over a long time.

11 Dec 2020

Researchers use novel technique to visualize unlabelled live cells

Scientists from the University of Illinois Urbana Champaign have designed a new method that uses a combination of artificial intelligence and label-free imaging to observe unlabeled live cells across an extended time.

8 Dec 2020

New breakthrough in AI system could significantly accelerate biological research

In a major scientific advance, the latest version of DeepMind's AI system AlphaFold has been recognized as a solution to the 50-year-old grand challenge of protein structure prediction, often referred to as the 'protein folding problem', according to a rigorous independent assessment.

1 Dec 2020

New tool predicts the carbon footprint of deep learning algorithms

On a daily basis, and perhaps without realizing it, most of us are in close contact with advanced AI methods known as deep learning.

4 Nov 2020

Novel machine learning algorithm helps identify binding sites in drug targets

Scientists from the iMolecule group at Skoltech Center for Computational and Data-Intensive Science and Engineering (CDISE) developed BiteNet, a machine learning (ML) algorithm that helps find drug binding sites, i.e. potential drug targets, in proteins.

27 Oct 2020

New tool can provide non-invasive decision support for treating lung cancer

Personalized treatment options for patients with lung cancer have come a long way in the past two decades. For patients with non-small cell lung cancer, the most common subtype of lung cancer and the leading cause of cancer-related death worldwide, two major treatment strategies have emerged: tyrosine kinase inhibitors and immune checkpoint inhibitors.

19 Oct 2020

New machine learning algorithms to analyze reams of RNA-based 'toehold' sequences

DNA and RNA have been compared to "instruction manuals" containing the information needed for living "machines" to operate.

7 Oct 2020

Deep learning-based technique could boost drug development

When you take a medication, you want to know precisely what it does. Pharmaceutical companies go through extensive testing to ensure that you do.

6 Oct 2020

Efficient Pollen Identification

From pollen forecasting, honey analysis and climate-related changes in plant-pollinator interactions, analysing pollen plays an important role in research.

5 Oct 2020

Machines match expert human assessment of stored red blood cell quality

Each year, nearly 120 million units* of donated blood flow from donor veins into storage bags at collection centres around the world.

25 Aug 2020

Study: Amyloid-beta alters cholesterol biosynthesis in early stages of Alzheimer’s

Korea Brain Research Institute (headed by Suh Pann-ghill) announced on July 24 the discovery that an increase in amyloid-beta in the brain alters cholesterol biosynthesis, which was found by Dr. Cheon Mookyung of KBRI through RNA-seq analysis data (omics) using AI.

7 Aug 2020

Deep Learning On Cell Signaling Networks Establishes AI For Single-Cell Biology

Computer systems that emulate key aspects of human problem solving are commonly referred to as AI. This field has seen massive progress over the last years.

6 Aug 2020

Detecting rare circulating tumor cells

Metastasis - the development of tumor growth at a secondary site - is responsible for the majority of cancer-related deaths.

4 Aug 2020

Deep learning algorithm can infer molecular alterations in cancer from histology images

Researchers at the University of Chicago Medicine Comprehensive Cancer Center, working with colleagues in Europe, created a deep learning algorithm that can infer molecular alterations directly from routine histology images across multiple common tumor types.

29 Jul 2020