Researchers at North Carolina State University used a CRISPR gene-editing system to breed poplar trees with reduced levels of lignin, the major barrier to sustainable production of wood fibers, while improving their wood ...
Biotechnology
Jul 13, 2023
2
114
Biomedical engineers at Duke University have developed an AI platform that autonomously compares molecules and learns from their variations to anticipate property differences critical to discovering new pharmaceuticals. The ...
Biochemistry
Dec 4, 2023
0
107
In recent years, a virtual tidal wave of studies linking the expression of certain genes to complex diseases as varied as cancer and diabetes has raised hopes for major advances in medical treatment and drug discovery.
Biotechnology
Jul 28, 2023
0
47
Artificial intelligence can generate poems and essays, create responsive game characters, analyze vast amounts of data and detect patterns that the human eye might miss. Imagine what AI could do for drug discovery, traditionally ...
Analytical Chemistry
Apr 27, 2023
0
41
Satellite observations and computer simulations are important tools for understanding past changes in Earth's climate and for projecting future changes.
Earth Sciences
Nov 22, 2022
0
62
The rate at which emerging wildlife diseases infect humans has steadily increased over the last three decades. Viruses, such as the global coronavirus pandemic and recent monkeypox outbreak, have heightened the urgent need ...
Ecology
Sep 1, 2022
0
63
Researchers at the University of Liverpool, the University of Bristol, University College London (UCL), and Diamond Light Source have developed new understanding of gallium oxide by combining a machine-learning theoretical ...
Analytical Chemistry
Aug 17, 2022
0
67
Researchers from the Critical Analytics for Manufacturing Personalized-Medicines (CAMP), an Interdisciplinary Research Group (IRG) at the Singapore-MIT Alliance for Research and Technology (SMART), MIT's research enterprise ...
Cell & Microbiology
Jun 20, 2022
0
68
Experts from the University of Nottingham have developed new software which combines DNA sequencing and machine learning to help them find where, and to what extent, antibiotic resistant bacteria is being transmitted between ...
Cell & Microbiology
Apr 20, 2022
0
512
A machine-learning approach developed for sparse data reliably predicts fault slip in laboratory earthquakes and could be key to predicting fault slip and potentially earthquakes in the field. The research by a Los Alamos ...
Earth Sciences
Dec 17, 2021
0
84
