Nanopores and deep learning aid in disease diagnostics
EPFL scientists have unveiled a method using biological nanopores and deep learning to detect protein modifications, offering new avenues in disease diagnostics.
EPFL scientists have unveiled a method using biological nanopores and deep learning to detect protein modifications, offering new avenues in disease diagnostics.
Bio & Medicine
Jan 18, 2024
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Rice (Oryza sativa) is a staple food for many people, but rice production is challenged by climate change, making it critical to improve yield traits such as panicle number per unit area (PNpM2).
Biotechnology
Jan 17, 2024
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Stomata are vital for regulating water and carbon dioxide in plants, affecting photosynthesis. Traditional stomata analysis was manual and error-prone, but deep learning (DL) methods, such as DCNN, have been introduced for ...
Biotechnology
Jan 17, 2024
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In the quest for precision farming, accurately detecting wheat spikes through phenotyping is critical, with deep learning models emerging as a promising tool.
Molecular & Computational biology
Jan 17, 2024
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"Why isn't it a beautiful thing?" a puzzled Sharath Keshava Narayana asked of his AI device masking accents.
Social Sciences
Jan 11, 2024
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Researchers from Queen Mary University of London have revealed how sociocultural factors, in addition to geography, play a significant role in shaping the genetic diversity of modern societies. The research published in eLife ...
Molecular & Computational biology
Jan 9, 2024
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Light, as an electromagnetic field, has two essential components: amplitude and phase. However, optical detectors, usually relying on photon-to-electron conversion (such as charge-coupled device sensors and the human eye), ...
Optics & Photonics
Jan 3, 2024
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28
Biology and medical researchers use spatial transcriptomics (ST) technologies to detect transcription levels in cells, predict cell types and build a tissue's three-dimensional (3D) structure. However, this analysis can be ...
Cell & Microbiology
Jan 2, 2024
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Recent advancements in agricultural computer vision have heavily relied on deep learning models, which, despite their success in general tasks, often lack agricultural-specific fine-tuning. This results in increased training ...
Cell & Microbiology
Dec 29, 2023
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Berry thinning is crucial for cultivating high-quality table grapes, traditionally carried out by skilled laborers who are becoming scarce due to an aging population. To address the labor-intensive and time-consuming process, ...
Agriculture
Dec 29, 2023
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