AIMC Topic: Ecosystem

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Revolutionizing Biological Science: The Synergy of Genomics in Health, Bioinformatics, Agriculture, and Artificial Intelligence.

Omics : a journal of integrative biology
With climate emergency, COVID-19, and the rise of planetary health scholarship, the binary of human and ecosystem health has been deeply challenged. The interdependence of human and nonhuman animal health is increasingly acknowledged and paving the w...

A water quality prediction model based on signal decomposition and ensemble deep learning techniques.

Water science and technology : a journal of the International Association on Water Pollution Research
Accurate water quality predictions are critical for water resource protection, and dissolved oxygen (DO) reflects overall river water quality and ecosystem health. This study proposes a hybrid model based on the fusion of signal decomposition and dee...

Enhancing Healthcare Through Telehealth Ecosystems: Impacts and Prospects.

Studies in health technology and informatics
This poster presents a comprehensive assessment of the transformative potential of telehealth ecosystems, integrating Internet of Things (IoT), Internet of Medical Things (IoMT), and Artificial Intelligence (AI) technologies. The study explores their...

Biodiversity assessment using passive acoustic recordings from off-reef location-Unsupervised learning to classify fish vocalization.

The Journal of the Acoustical Society of America
We present the quantitative characterization of Grande Island's off-reef acoustic environment within the Zuari estuary during the pre-monsoon period. Passive acoustic recordings reveal prominent fish choruses. Detailed characteristics of the call emp...

A deep learning method for kidney segmentation in 2D ultrasound images.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Ultrasound (US) is a medical imaging modality widely used for diagnosis, monitoring, and guidance of surgical procedures. However, the accurate interpretation of US images is a challenging task. Recently, portable 2D US devices enhanced with Artifici...

A Natural Language Processing Tool Offering Data Extraction for COVID-19 Related Information (DECOVRI).

Studies in health technology and informatics
A new natural language processing (NLP) application for COVID-19 related information extraction from clinical text notes is being developed as part of our pandemic response efforts. This NLP application called DECOVRI (Data Extraction for COVID-19 Re...

ASAS-NANP symposium: mathematical modeling in animal nutrition: limitations and potential next steps for modeling and modelers in the animal sciences.

Journal of animal science
The field of animal science, and especially animal nutrition, relies heavily on modeling to accomplish its day-to-day objectives. New data streams ("big data") and the exponential increase in computing power have allowed the appearance of "new" model...

Editorial: Topical Collection on Emergent Dynamics of Biological Networks.

Journal of biosciences
This special issue 'Emergent properties of biological networks' celebrates the growing and vibrant international community of researchers working on questions in the area of cellular and tissue-level biological physics. Networks are a common way to r...

From space to biomedicine: Enabling biomarker data science in the cloud.

Cancer biomarkers : section A of Disease markers
NASA's Jet Propulsion Laboratory (JPL) is advancing research capabilities for data science with two of the National Cancer Institute's major research programs, the Early Detection Research Network (EDRN) and the Molecular and Cellular Characterizatio...

[Can artificial intelligence make a meaningful contribution to oral healthcare?].

Nederlands tijdschrift voor tandheelkunde
Artificial intelligence provides many possibilities for gaining new insights into the functioning of the oral ecosystem. The success of artificial intelligence is based on a combination of an abundance of available data, greatly increased computing p...