Deep Learning News and Research

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Deep-learning approach to achieve faster and high-resolution photoacoustic computed tomography

It takes a few moments for the sound of thunder to reach our ears after a flash of lightning. This phenomenon is due to the photoacoustic (PA) effect where materials near the lightning instantly expand as the optical energy of the lightning is absorbed and converted into thermal energy.

24 Feb 2023

Deep learning model can accurately predict the growth of deadly brain tumors

Researchers at the University of Waterloo have created a computational model to predict the growth of deadly brain tumors more accurately.

31 Jan 2023

Researchers use supercomputer to unveil new methods for DNA mosaic recognition

As humans, we each have trillions of cells. And each cell has a nucleus with individual genetic information –DNA – that can mutate to create an abnormality.

25 Jan 2023

Different cancers carry distinctive genetic signatures

After analyzing data from a public repository, CD4-T, CD8-T cells, and Treg cells, a team of researchers led by bioinformatics Mabel Vidal from the University of Concepcion and working with researchers from MELISA Institute and other academic institutions discovered a distinctive genetic signature among subsets of infiltrating T cells of various types of cancer.

4 Nov 2022

AI tools forecast DNA’s regulatory region and 3D structure

According to two recent research published in Nature Genetics, recently created artificial intelligence (AI) tools effectively identified the function of DNA’s regulatory regions and three-dimensional (3D) structure based only on its raw sequence.

9 Aug 2022

IDS Vision Channel: Free web session on "Smart Farming" with guest speakers

Image processing can be used to accelerate, control and optimise processes. When artificial intelligence comes into play, the range of applications becomes even wider.

From IDS Imaging Development Systems GmbH 4 May 2022

The brain learns completely differently than previously assumed, researchers say

The brain is a complex network containing billions of neurons. Each of these neurons communicates simultaneously with thousands of others via their synapses (links), and collects incoming signals through several extremely long, branched "arms", called dendritic trees.

29 Apr 2022

Research associates depressive diseases and deformability of blood cells

For the first time, a study conducted by the TU Dresden and the University of Zurich in collaboration with the Max Planck Institute for the Science of Light finds a relationship between depressive disorders and mechanical features of all main blood cell types.

19 Apr 2022

AI and robotics identify new cellular hallmarks of Parkinson's disease

A study published today in Nature Communications unveils a new platform for discovering cellular signatures of disease that integrates robotic systems for studying patient cells with artificial intelligence methods for image analysis.

28 Mar 2022

Researchers develop a meaningful universal platform to identify multiple bacteria in seconds

Bacterial detection can take hours, if not days, to complete—wasting valuable time for diagnosing diseases and choosing treatments.

7 Mar 2022

Researchers create a regulatory map of zebrafish genome

The zebrafish is an important model organism for studying things like genetic diseases. A regulatory map of its genome has been successfully created using high-throughput experiments and AI methods, a team led by Uwe Ohler now reports in Cell Genomics and Nature Machine Intelligence.

25 Feb 2022

Why is it Important to have Diverse Genomics Data in Science?

In this interview, we speak to Dr. Santiago Miriuka, CEO of MultiplAI Health, about the importance of having diverse genomics data in research.

From MultiplAI Health 17 Feb 2022

Fluidlab; Combining Cell Counting and Spectrometry to Improve Fluid Analysis

In this interview, we speak to David Heinz from anvajo about their fluidlab technology that combines cell counting and spectrometry to improve fluid analysis.

From anvajo 11 Jan 2022

Revealing a Cell's Components through Artificial Intelligence

We speak to Professor Trey Ideker and Yue Qin about their latest in cell biology and how artificial intelligence could be used to discover new components within cells.

From UC San Diego 23 Dec 2021

Boosting Confocal Microscopy Through Artificial Intelligence

In this interview, we speak to Dr. Hari Shroff from the National Institute of Biomedical Imaging and Bioengineering about his latest research into confocal microscopy.

From National Institute of Biomedical Imaging and Bioengineering (NIBIB) 20 Dec 2021

Study employs AI to make new, stable protein structures

Similar to how images of cats can be developed utilizing artificial intelligence, novel proteins too can be now made with similar tools.

7 Dec 2021

New two-photon microscope provides unprecedented brain-imaging ability

Advancing our understanding of the human brain will require new insights into how neural circuitry works in mammals, including laboratory mice.

3 Dec 2021

Deep learning can generate real insights into how proteins interact

Scientist are now combining recent advances in evolutionary analysis and deep learning to build three-dimensional models of how most proteins in eukaryotes interact.

23 Nov 2021