Machine Learning News and Research

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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

New Approach to Revolutionize Synthetic Biology

For the first time, scientists at the Lawrence Berkeley National Laboratory of the Department of Energy (Berkeley Lab) have created a genome-scale method to map the regulatory role of transcription factors, proteins that are essential for controlling gene expression, and a plant’s physiological features.

22 Jun 2023

New Automated Machine Learning Tool to Design and Interpret Biological Sequences

The amount of data generated by scientists today is massive, thanks to the falling costs of sequencing technology and the increasing amount of available computing power.

22 Jun 2023

CSIRO Invests $25 Million to Drive Biotech Innovation

Australia’s national science agency, CSIRO, has invested $25 million up to 2027 in a new program that will harness the building blocks of life to solve intractable problems.

7 Jun 2023

Microbes Play Most Important Role in Soil Carbon Sequestration

Microbes are by far the most important factor in determining how much carbon is stored in the soil, according to a new study with implications for mitigating climate change and improving soil health for agriculture and food production.

6 Jun 2023

Innovative Web App can Quickly, Accurately Analyze Vast Genomic Data for Cereal Crops

Agricultural Research Service and Washington State University scientists have developed an innovative web app called BRIDGEcereal [https://bridgecereal.scinet.usda.gov/] that can quickly and accurately analyze the vast amount of genomic data now available for cereal crops and organize the material into intuitive charts that identify patterns locating genes of interest.

6 Jun 2023

Online Prediction Modeling Tool to Help Advance Scientific Discoveries

By anticipating the location of proteins within a cell, researchers might have access to a trove of biological knowledge. Future scientific discoveries related to drug development and the treatment of diseases like epilepsy will depend on this information.

6 Jun 2023

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

Machine Learning News and Research

Deep Learning Model Accurately Predicts RNA-Targeting CRISPR Activity

New Approach to Revolutionize Synthetic Biology

New Automated Machine Learning Tool to Design and Interpret Biological Sequences

CSIRO Invests $25 Million to Drive Biotech Innovation

Microbes Play Most Important Role in Soil Carbon Sequestration

Innovative Web App can Quickly, Accurately Analyze Vast Genomic Data for Cereal Crops

Online Prediction Modeling Tool to Help Advance Scientific Discoveries

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

Quorum Bio: Where Synthetic Biology Meets Sustainable Farming

Diagnostic Biochips: Pioneering Brain Research Tools for the Future

Commercializing Innovation in a Life Sciences Ecosystem

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