Machine Learning News and Research

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Study employs deep learning AI to classify chromosomal images from plant species

Cell division is a vital mechanism underlying biological growth and repair.

19 Nov 2021

Novel technique enhances the predictability of protein manufacturing

Researchers from VIB and Ghent University devised a new technique to analyze the secretability of hundreds of thousands of protein sequences at once.

10 Nov 2021

Simultaneously Measuring 7,000 Proteins: Groundbreaking Proteomics from SomaLogic

In this interview, we speak to Roy Smythe, CEO of SomaLogic, about their groundbreaking proteomics technology that can simultaneously measure 7,000 proteins.

From SomaLogic 4 Nov 2021

Cancer cells change their shape and migration modes more often, says research

Recent research from the Oregon State University shows how malignant cells change their shape and migration techniques to attack various tissues.

29 Oct 2021

Combining food science and computer programming to help the food industry stop Listeria outbreaks

Researchers from Cornell University are blending food science expertise and computer programming savvy to help the food industry stop Listeria outbreaks.

19 Oct 2021

Virginia Tech scientists receive $1 million grant to predict the mechanics of living cells

With advances in deep learning, machines are now able to "predict" a variety of aspects about life, including the way people interact on online platforms or the way they behave in physical environments.

15 Oct 2021

Experts come up with a powerful tool for illustrating genome folding

The intricate folds and arrangements of protein and DNA bundles inside the microscopic boundaries of a single human cell instruct the fate of an individual

13 Oct 2021

Neuronal variability boosts learning and performance, says research

Scientists from Imperial College London discovered that variation between brain cells might accelerate learning and enhance the functioning of the brain and future AI.

8 Oct 2021

Genome Research' special issue covers advanced developments in single-cell genomics

Genome Research (https://genome.org) publishes a special issue highlighting novel advances and insights in Single-cell Genomics.

5 Oct 2021

Researchers identify 14 genes responsible for obesity

Promising news in the effort to develop drugs to treat obesity: University of Virginia scientists have identified 14 genes that can cause and three that can prevent weight gain. The findings pave the way for treatments to combat a health problem that affects more than 40% of American adults.

4 Oct 2021

New datasets published to better train ML models for drug discovery

Polymorphs are molecules that have different molecular packing arrangements despite identical chemical compositions. In a recent paper, researchers at GlaxoSmithKline (GSK) and the Cambridge Crystallographic Data Centre (CCDC) combined their proprietary (GSK) and published (CCDC) datasets to better train machine learning (ML) models to predict stable polymorphs to use in new drug candidates.

4 Oct 2021

Study employs machine learning to predict outcomes in agriculture

Recent research emphasizes that machine learning can identify “genes of importance” that support crops to grow with reduced fertilizer.

From New York University (NYU) 28 Sep 2021

Novel process for accurate data analysis from NMR spectrometers

Researchers created a process employing machine learning to enhance data examination from a robust scientific tool—nuclear magnetic resonance (NMR).

23 Sep 2021

Study finds greater facial asymmetry in parents of autistic individuals

Recent research in Western Australia employs high-tech 3D facial scans to provide better knowledge of the genetic causes of autism.

21 Sep 2021

RIT scientists uncover new information about the way coronavirus attaches to human cells

Rochester Institute of Technology scientists have uncovered new information about the way coronavirus and several of its variants attach to human cells.

14 Sep 2021

Study provides deep insights into the association between genes and diseases

Scientists examined genomic data from more than 30,000 individuals and unraveled thousands of new regulatory regions that regulate disease-linked genes.

7 Sep 2021

Stanford researchers use machine learning approach to solve structural biology challenges

Determining the 3D shapes of biological molecules is one of the hardest problems in modern biology and medical discovery. Companies and research institutions often spend millions of dollars to determine a molecular structure – and even such massive efforts are frequently unsuccessful.

27 Aug 2021