Trends in taxonomy of Chagas disease vectors (Hemiptera, Reduviidae, Triatominae): from Linnaean to integrative taxonomy
Chagas disease is a neglected tropical disease caused by the protozoan Trypanosoma
cruzi and transmitted mainly by members of the subfamily Triatominae. There are currently …
cruzi and transmitted mainly by members of the subfamily Triatominae. There are currently …
Radiomics and machine learning in oral healthcare
AF Leite, KF Vasconcelos, H Willems… - PROTEOMICS …, 2020 - Wiley Online Library
The increasing storage of information, data, and forms of knowledge has led to the
development of new technologies that can help to accomplish complex tasks in different …
development of new technologies that can help to accomplish complex tasks in different …
Artificial intelligence techniques for predictive modeling of vector-borne diseases and its pathogens: a systematic review
Vector-borne diseases (VBDs) have a significant impact on human and animal health. VBD
has been emerging or re-emerging in a variety of geographic regions, raising alarming new …
has been emerging or re-emerging in a variety of geographic regions, raising alarming new …
Use of artificial intelligence and machine learning for discovery of drugs for neglected tropical diseases
DA Winkler - Frontiers in Chemistry, 2021 - frontiersin.org
Neglected tropical diseases continue to create high levels of morbidity and mortality in a
sizeable fraction of the world's population, despite ongoing research into new treatments …
sizeable fraction of the world's population, despite ongoing research into new treatments …
Machine learning and its applications for protozoal pathogens and protozoal infectious diseases
RS Hu, AEL Hesham, Q Zou - Frontiers in Cellular and Infection …, 2022 - frontiersin.org
In recent years, massive attention has been attracted to the development and application of
machine learning (ML) in the field of infectious diseases, not only serving as a catalyst for …
machine learning (ML) in the field of infectious diseases, not only serving as a catalyst for …
[HTML][HTML] Deep metric learning for the classification of MALDI-TOF spectral signatures from multiple species of neotropical disease vectors
Deep Learning techniques have significant advantages for mass spectral classification, such
as parallelized signal correction and feature extraction. Deep Metric Learning models …
as parallelized signal correction and feature extraction. Deep Metric Learning models …
Application of deep learning to community-science-based mosquito monitoring and detection of novel species
A Khalighifar, D Jiménez-García… - Journal of medical …, 2022 - academic.oup.com
Mosquito-borne diseases account for human morbidity and mortality worldwide, caused by
the parasites (eg, malaria) or viruses (eg, dengue, Zika) transmitted through bites of infected …
the parasites (eg, malaria) or viruses (eg, dengue, Zika) transmitted through bites of infected …
[HTML][HTML] Assessment of vector-host-pathogen relationships using data mining and machine learning
DDM Agany, JE Pietri, EZ Gnimpieba - Computational and Structural …, 2020 - Elsevier
Infectious diseases, including vector-borne diseases transmitted by arthropods, are a
leading cause of morbidity and mortality worldwide. In the era of big data, addressing broad …
leading cause of morbidity and mortality worldwide. In the era of big data, addressing broad …
Automated detection of the yellow‐legged hornet (Vespa velutina) using an optical sensor with machine learning
C Herrera, M Williams, J Encarnação… - Pest Management …, 2023 - Wiley Online Library
BACKGROUND The yellow‐legged hornet (Vespa velutina) is native to Southeast Asia and
is an invasive alien species of concern in many countries. More effective management of …
is an invasive alien species of concern in many countries. More effective management of …