AIMC Topic: Phenomics

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Deep Hair Phenomics: Implications in Endocrinology, Development, and Aging.

The Journal of investigative dermatology Sep 3, 2024
Hair quality is an important indicator of health in humans and other animals. Current approaches to assess hair quality are generally nonquantitative or are low throughput owing to technical limitations of splitting hairs. We developed a deep learnin...
Hair Hair Follicle Phenomics Deep Learning Mice Humans Animals Aging Phenotype
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Integrating genomics, phenomics, and deep learning improves the predictive ability for Fusarium head blight-related traits in winter wheat.

The plant genome Jun 9, 2024
Fusarium head blight (FHB) remains one of the most destructive diseases of wheat (Triticum aestivum L.), causing considerable losses in yield and end-use quality. Phenotyping of FHB resistance traits, Fusarium-damaged kernels (FDK), and deoxynivaleno...
Phenotype Deep Learning Genomics Phenomics Plant Diseases Disease Resistance Triticum Plant Breeding Fusarium
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Phenome-wide identification of therapeutic genetic targets, leveraging knowledge graphs, graph neural networks, and UK Biobank data.

Science advances May 8, 2024
The ongoing expansion of human genomic datasets propels therapeutic target identification; however, extracting gene-disease associations from gene annotations remains challenging. Here, we introduce Mantis-ML 2.0, a framework integrating AstraZeneca'...
Computational Biology Databases, Genetic United Kingdom Genomics Genetic Predisposition to Disease Phenomics UK Biobank Humans Neural Networks, Computer Phenotype Genome-Wide Association Study Algorithms
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PiTLiD: Identification of Plant Disease From Leaf Images Based on Convolutional Neural Network.

IEEE/ACM transactions on computational biology and bioinformatics Apr 3, 2023
With the development of plant phenomics, the identification of plant diseases from leaf images has become an effective and economic approach in plant disease science. Among the methods of plant diseases identification, the convolutional neural networ...
Plant Leaves Plant Diseases Phenomics Neural Networks, Computer Algorithms
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A primer on artificial intelligence in plant digital phenomics: embarking on the data to insights journey.

Trends in plant science Sep 24, 2022
Artificial intelligence (AI) has emerged as a fundamental component of global agricultural research that is poised to impact on many aspects of plant science. In digital phenomics, AI is capable of learning intricate structure and patterns in large d...
Humans Technology Phenomics Artificial Intelligence
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Machine learning phenomics (MLP) combining deep learning with time-lapse-microscopy for monitoring colorectal adenocarcinoma cells gene expression and drug-response.

Scientific reports May 20, 2022
High-throughput phenotyping is becoming increasingly available thanks to analytical and bioinformatics approaches that enable the use of very high-dimensional data and to the availability of dynamic models that link phenomena across levels: from gene...
Humans Phenotype Colorectal Neoplasms Machine Learning Gene Expression Phenomics Microscopy Deep Learning Time-Lapse Imaging Adenocarcinoma
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Review: Application of Artificial Intelligence in Phenomics.

Sensors (Basel, Switzerland) Jun 25, 2021
Plant phenomics has been rapidly advancing over the past few years. This advancement is attributed to the increased innovation and availability of new technologies which can enable the high-throughput phenotyping of complex plant traits. The applicat...
Phenomics Machine Learning Software Phenotype Artificial Intelligence
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Use of artificial intelligence to enhance phenotypic drug discovery.

Drug discovery today Jan 20, 2021
Research and development (R&D) productivity across the pharmaceutical industry has received close scrutiny over the past two decades, especially taking into consideration reports of attrition rates and the colossal cost for drug development. The resp...
Phenomics Drug Discovery Humans Artificial Intelligence Drug Development Machine Learning Molecular Targeted Therapy
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Transforming the study of organisms: Phenomic data models and knowledge bases.

PLoS computational biology Nov 24, 2020
The rapidly decreasing cost of gene sequencing has resulted in a deluge of genomic data from across the tree of life; however, outside a few model organism databases, genomic data are limited in their scientific impact because they are not accompanie...
Gene-Environment Interaction Models, Genetic Semantics Animals Databases, Genetic Phenomics Humans Models, Biological Ecosystem Models, Statistical Classification Phenotype Knowledge Bases Computational Biology
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The Unified Phenotype Ontology : a framework for cross-species integrative phenomics.

Genetics Mar 17, 2025
Phenotypic data are critical for understanding biological mechanisms and consequences of genomic variation, and are pivotal for clinical use cases such as disease diagnostics and treatment development. For over a century, vast quantities of phenotype...
Animals Biological Ontologies Phenomics Humans Phenotype
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