Machine Learning News and Research

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Machine Learning-Based Tool Allows Scientists to Quickly Model Families of Proteins

Microbes drive key processes of life on Earth. They affect global elemental cycles-;the movement of carbon, nitrogen, and other elements. They also promote plant growth and affect the development of diseases. These roles are essential in every ecosystem.

2 Jun 2023

Novel Map Depicts the Human Body's Highly Complicated System for Repairing DNA Damage

Writing in the May 22, 2023 issue of Cell Systems, a diverse team of scientists, led by researchers at University of California San Diego School of Medicine, have produced a novel map that depicts the human body's enormously complicated and highly evolved system for addressing and repairing DNA damage -; a cause and consequence of many diseases.

23 May 2023

Machine Learning Reveals Sex-Specific Genes, Molecular Pathways Linked to Alzheimer's Disease Progression

Alzheimer's Disease (AD) is a complex neurodegenerative illness with genetic and environmental origins.

22 May 2023

Using NIR Spectroscopy to Identify Three Common Allergens in Quinoa Flour

Food allergies pose a significant health risk, resulting in numerous hospitalizations every year, as even trace amounts of allergens can trigger severe reactions.

18 May 2023

Learning More About Stem Cells Advances Personalized Regenerative Medicine

Organelles, which are made up of various protein and RNA fragments inside of a cell, are crucial for maintaining homeostasis, controlling aging and development, and producing energy.

16 May 2023

AI Used to Create 3D Model of 'Postal Workers' in Human Cells

University of Queensland researchers have used artificial intelligence to build a 3D map of key cell components to better understand dementia and infectious diseases including COVID-19.

12 May 2023

Discovering Novel Senolytic Compounds with the Power of Artificial Intelligence

A new publication in the May issue of Nature Aging by researchers from Integrated Biosciences, a biotechnology company combining synthetic biology and machine learning to target aging, demonstrates the power of artificial intelligence (AI) to discover novel senolytic compounds, a class of small molecules under intense study for their ability to suppress age-related processes such as fibrosis, inflammation and cancer.

8 May 2023

High-Throughput Technique Observes Differences in Hard and Non-Hard Seeds

Alfalfa (Medicago sativa), also known as the “King of Grass,” is a legume cultivated in various parts of the world for animal feed. It is highly valued in the feed business because of its high protein content and biomass output.

8 May 2023

Tokyo Tech Researchers Discover How Surface Chemistry can Influence Adhesion of Bacterial Cells

The biofilm-forming bacteria E. coli adheres firmly to hydrophobic and hydrophilic protein-adsorbing self-assembling monolayers (SAMs) and weakly to hydrophilic protein-resisting SAMs, uncovered a recent study by Tokyo Tech researchers.

8 May 2023

Innate Tumor Suppression Mechanism Uncovered

The p53 gene is one of the most important in the human genome: the only role of the p53 protein that this gene encodes is to sense when a tumor is forming and to kill it.

5 May 2023

Study Reveals That Transcriptional Buffering Occurs in Rett Syndrome Nerve Cells

Every cell in our body is able to turn genes (DNA) on or off, producing RNA, but when genes are 'turned on' to the wrong level it can result in a variety of health conditions.

3 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

How Bacteria Take Action to Break Out of Dormancy

Solving a riddle that has confounded biologists since bacterial spores -; inert, sleeping bacteria -; were first described more than 150 years ago, researchers at Harvard Medical School have discovered a new kind of cellular sensor that allows spores to detect the presence of nutrients in their environment and quickly spring back to life.

2 May 2023

The Origins of Human Accelerated Regions

Large parts of the human genome were changed over a million years ago due to a random event during egg or sperm formation that resulted in the deletion, duplication, or reversal of sections of DNA. Investigators have demonstrated that those structural variants likely set off a cascade of other fast alterations in human DNA that may underpin unique human traits, particularly the brain.

28 Apr 2023

Interpretable Machine Learning Framework Helps Optimize Chromosome Design and Synthesis

Artificially synthesizing genomes has numerous applications, including medical research and industrial strains. Scientists are continuously progressing in the depth and breadth of genome design and synthesis, from Craig Venter’s team’s synthesis of the artificial life JCVI-syn1.0 in 2010 to the rewriting and synthesis of the prokaryotic E. coli genome, and the Sc2.0 project’s artificial synthesis of the yeast genome.

26 Apr 2023

Research Proposes a Totally New Way to Think About Agriculture

On November 15, 2022, the 8 billionth person on the planet was born. With concerns about food security on the rise, experts are asking: how will we feed everyone? Climate change, natural resource depletion, soil erosion, and fossil fuel use in farming make the task even more challenging. We need to do something differently, but what?

13 Apr 2023

Customized AI-driven gut microbiome study to classify colorectal cancer

A diverse community of several bacterial species that are crucial to human health constitute the gut microbiome. Changes in the gut microbiota have been linked to a range of diseases recently, most notably colorectal cancer (CRC), according to researchers across a variety of domains.

5 Apr 2023

Machine Learning News and Research

Machine Learning-Based Tool Allows Scientists to Quickly Model Families of Proteins

Novel Map Depicts the Human Body's Highly Complicated System for Repairing DNA Damage

Machine Learning Reveals Sex-Specific Genes, Molecular Pathways Linked to Alzheimer's Disease Progression

Using NIR Spectroscopy to Identify Three Common Allergens in Quinoa Flour

Learning More About Stem Cells Advances Personalized Regenerative Medicine

AI Used to Create 3D Model of 'Postal Workers' in Human Cells

Discovering Novel Senolytic Compounds with the Power of Artificial Intelligence

High-Throughput Technique Observes Differences in Hard and Non-Hard Seeds

Tokyo Tech Researchers Discover How Surface Chemistry can Influence Adhesion of Bacterial Cells

Innate Tumor Suppression Mechanism Uncovered

Study Reveals That Transcriptional Buffering Occurs in Rett Syndrome Nerve Cells

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

How Bacteria Take Action to Break Out of Dormancy

The Origins of Human Accelerated Regions

Interpretable Machine Learning Framework Helps Optimize Chromosome Design and Synthesis

Research Proposes a Totally New Way to Think About Agriculture

Customized AI-driven gut microbiome study to classify colorectal cancer

Machine learning reveals the complexities of difficulties in designer chromosome synthesis

LabWare - Pittcon press conference 10a Rm 201B

Using PET and electron microscopy to generate 3D maps of mitochondrial networks in lung tumors

Driving Support for Pharmaceutical Testing Through Continuous Innovation

From Memory to Metaplasticity: Unraveling the Brain's Secrets

Revolutionizing Mass Spectrometry: A Deep Dive into Plasmion’s SICRIT® Technology

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