Deep Learning News and Research

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SPACEL: A Powerful AI Toolkit for Unveiling the 3D Secrets of Tissues

Spatial transcriptomics (ST) technologies are applied in biology and medical research for its ability to detect the spatial distribution of transcriptome in histological tissue slices.

3 Jan 2024

Non-Invasive Early Cancer Detection Using Chromatin Signatures in Mononuclear Blood Cells

Blood cells reveal tumors in the body. Researchers at the Paul Scherrer Institute achieve an advance with the development of a test for early diagnosis of cancer.

18 Dec 2023

Understudied Brain Cell Holds Key to Glioblastoma's Immunotherapy Resistance

Glioblastoma is one of the most treatment-resistant cancers, with those diagnosed surviving for less than two years.

13 Dec 2023

AI-Powered Crab Gender Identification: Revolutionizing Fishery Management and Conservation

Deep learning model developed by researchers outperform human fishermen in correctly identifying the gender of horsehair crabs.

20 Nov 2023

Quantum Biology and AI Improve CRISPR Cas9 Efficiency in Microbes

Scientists at Oak Ridge National Laboratory used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.

10 Nov 2023

Revolutionizing Drug Discovery: The Role of AI in Lead Optimization

Lead optimization in the field of drug discovery poses a formidable challenge, predominantly hinging on conjectures and the expertise of medicinal chemists.

25 Oct 2023

AI-Powered Method Helps Scientists to Observe Plants With Great Precision

Artificial intelligence (AI) can help plant scientists collect and analyze unprecedented volumes of data, which would not be possible using conventional methods.

25 Sep 2023

Versatile, Language-Based Approach Aids in the Design of New Proteins

Researchers discovered a new type of marine bacteria with distinct traits on the ocean floor.

30 Aug 2023

AtomAI: New Software Package Uses Deep Learning to Analyze Microscopy Images

Researchers have developed a new software package for analyzing images from electron and scanning probe microscopy.

28 Aug 2023

CNN-Based Model Can Accurately Estimate Rice Yield From Canopy Images

With the rise in global demand for staple crop products projected to substantially increase by 2050 due to population growth, rising per capita income, and the growing use of biofuels, it is necessary to adopt sustainable agricultural intensification practices in existing croplands to meet this demand.

28 Aug 2023

Deep Learning Methods Developed For Computational Protein Design

The key to understanding proteins -; such as those that govern cancer, COVID-19, and other diseases -; is quite simple. Identify their chemical structure and find which other proteins can bind to them. But there's a catch.

11 Aug 2023

Analyzing Deep Learning Methods for Computational Protein Design

4 Aug 2023

Researchers Pinpoint the Genes that Shape the Skeletons

Using artificial intelligence to analyze tens of thousands of X-ray images and genetic sequences, researchers from The University of Texas at Austin and New York Genome Center have been able to pinpoint the genes that shape our skeletons, from the width of our shoulders to the length of our legs.

21 Jul 2023

Deep Learning Model Accurately Predicts RNA-Targeting CRISPR Activity

According to new research published in Nature Biotechnology, artificial intelligence can predict on- and off-target behavior of CRISPR tools that target RNA rather than DNA.

5 Jul 2023

Researchers Develop AI Method to Predict Small Molecule Substrates of Enzymes

Enzymes are the molecule factories in biological cells. However, which basic molecular building blocks they use to assemble target molecules is often unknown and difficult to measure.

23 May 2023

Robust AI System Identifies Protein Patterns Within Individual Cells

A highly innovative artificial intelligence (AI) system identified protein patterns within individual cells with world-leading accuracy and speed.

From University of Surrey 16 May 2023

Deep Learning Model for Label-Free Identification of Different Cancer Cells

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.

3 May 2023