High-quality genome of Diaphanosoma dubium provides insights into molecular basis of its broad ecological adaptation

Xu, Meng; Liu, Ping; Huang, Qi; Xu, Shufa; Dumont, Henri J.; Han, Bo‐Ping

doi:10.1016/j.isci.2023.106006

Cited by 2 publications

(2 citation statements)

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“…The first advantage of this definition is that it can exclude what is not a patient digital twin: generic models of cells, tissues, organs, or biological systems not linked to a patient but used to study disease progression or drug development 29,54,80 ; pure cyber-physical systems, that is, systems such as implantable cardioverter-defibrillators, which do not use a representation of the patient and therefore not a “viewable” digital replica of the patient; digital patient data created from patient databases for in silico trials; 47,99,103 often using generative adversarial networks, which we propose to call “synthetic patients” instead; data sets from another patient, similar to those of the index patient; 77 machine learning based classifiers, trained on a population to predict a diagnosis; 69 and patient models built from a single data source, such as demographic characteristics or imaging. 31,47,49…”

Section: Discussionmentioning

confidence: 99%

Patient digital twins: an introduction based on a scoping review

Drummond,

Gonsard

2024

Preprint

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SUMMARYThe concept of digital twins, widely adopted in industry, is entering healthcare. In this scoping review, we analysed definitions and characteristics of patient digital twins being developed for clinical use. Searching for studies claiming digital twin development/evaluation until August 2023, we identified 86 articles representing 80 unique claimed digital twins, nearly all (98%) in preclinical phases. From the analysis of definitions and characteristics, we propose to define patient digital twin as “a viewable digital replica of a patient, organ, or biological system that contains multidimensional, patient-specific information”. Two main forms were found: simulation digital twins using computational modelling of patient anatomy/physiology to run personalised outcome predictions and therapy evaluations, mostly for one-time assessments; and monitoring digital twins harnessing aggregated patient data for continuous risk/outcome forecasting over time and care optimisation. As patient digital twins rapidly emerge, the proposed definitions and subtypes offer a framework to guide research into realising the potential of these personalised, integrative technologies to advance clinical care.

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Section: Discussionmentioning

confidence: 99%

Patient digital twins: an introduction based on a scoping review

Drummond,

Gonsard

2024

Preprint

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“…Diaphanosoma sp. thrives in eutrophic environment (18) . Bosmina longirostris, Ceriodaphnia cornuta, Ceriodaphnia reticulata, Diaphanosoma sarsi, Diaphanosoma excisum and Simocephalus vetulus are reported as eutrophic indicators (19,20) .…”

Section: Biotic Factorsmentioning

confidence: 99%

Assessment of Physico-chemical Parameters and Zooplankton Community at Gopalaswamy Tank, Chitradurga, Karnataka

Basavaraj,

Kadadevaru

2024

IJST

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Objectives:The present work deals with the study of physico-chemical parameters along with diversity and abundance of zooplanktons to analyse the trophic status of Gopalaswamy tank, Chitradurga, Karnataka, India. Methods: A total of 18 physico-chemical parameters were analysed for a period of two years from July 2019 to June 2021 using EuTech PCS multi-parameter testing probe, secchi disc, hygrometer and titration methods. Zooplanktons were identified and counted under Sedge Wick Rafter counting cell, which holds 01ml of zooplanktons sample spread over one thousand cells. Findings: The water body exhibits low transparency because of the algal bloom and the water is more alkaline with excess nutrient load due to high value of phosphate, sulphate and nitrates. Three groups of zooplanktons comprising 18 species were recorded. Almost 50% of the zooplanktons observed were eutrophic indicators. Cladocera was the species rich group with 09 species, followed by Copepoda having 05 species and Rotifera with 04 species. However, Copepoda was the most abundant group with 993 individuals (47%), followed by Rotifera with 579 individuals and Cladocera with 545 individuals (26%). Out of these 18 species, Diaphanosoma sarsi, Diaphanosoma excisum, Bosmina longirostris, Ceriodaphnia cornuta, Ceriodaphnia reticulata, Simocephalus vetulus, Brachionus falcatus, Brachionus forficula and Lecane ludwigi were indicator species. The variations in the physico-chemical characters, zooplanktons and their inter-relation depict the deterioration of the water body and the need of conservation as the water body harbors eutrophic indicator species. Novelty: The study is the first report on water quality parameters and zooplanktons diversity of the historic and scientifically built water body that never dried though it is situated in arid zone between the rocky terrains. The investigation has revealed the increased nutrient load which supported the abundance of indicator species and responsible for the process of eutrophication. The study suggests that, conservation strategies are essential to revive and protect the https://www.indjst.org/

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High-quality genome of Diaphanosoma dubium provides insights into molecular basis of its broad ecological adaptation

Cited by 2 publications

References 100 publications

Patient digital twins: an introduction based on a scoping review

Patient digital twins: an introduction based on a scoping review

Assessment of Physico-chemical Parameters and Zooplankton Community at Gopalaswamy Tank, Chitradurga, Karnataka

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