Results 191 to 200 of about 1,948 (255)

A Deep Learning Pipeline for Cell Segmentation and Viability Quantification in 3D Constructs From Fluorescence Microscopy Images

open access: yesMicroscopy Research and Technique, EarlyView.
3D bioprinting requires advanced methods for cell localization and viability assessment. We developed a hybrid and automated pipeline based on the U2‐Net architecture for the analysis of fluorescence microscopy images enabling cell segmentation and viability assessment.
Federica Valtellina   +3 more
wiley   +1 more source

Peri‐implant disease pathogenesis animal models: Consensus report of Workgroup 1 of the IADR Implantology Research Group Best Evidence Consensus Symposium on Peri‐Implant Disease and Its Treatment

open access: yesJournal of Periodontology, EarlyView.
Abstract Background The pathogenesis and etiology of peri‐implantitis demand a deeper understanding to lead to successful treatment modalities. Animal models of peri‐implantitis pathogenesis offer unique insights but their translational impact requires consideration of implant biomaterials science.
Georgios Kotsakis   +15 more
wiley   +1 more source

Making palaeoclimatology research policy‐relevant: Insights and experience from the DECADAL Project

open access: yesJournal of Quaternary Science, EarlyView.
ABSTRACT Quaternary palaeoclimatology uniquely provides insights and new evidence about climate variability trends and extremes prior to the instrumental record; yet, its knowledge is rarely integrated into governmental decision‐making. This opinion piece shares lessons and experience from the UKRI‐funded DECADAL project, which bridges palaeoclimate ...
Celia Martin‐Puertas   +18 more
wiley   +1 more source

Assessing plant water status: Part 1 – Classical methods

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
Abstract As a result of the changing climate, water scarcity poses a significant threat to crop and pasture production. Although soil water content can indicate drought, its measurements often provide limited spatial resolution and are weakly correlated with plant water status, producing misleading drought assessments.
Naila Farooq   +7 more
wiley   +1 more source

Artificial Intelligence in Dermatology: Current Applications and Future Directions

open access: yesJEADV Clinical Practice, EarlyView.
This scoping review of 56 studies maps AI applications in dermatology. Image‐based classification for skin cancer detection dominates (48%), followed by clinical decision support (21%), teledermatology triage (11%), and predictive analytics (11%). While deep learning algorithms demonstrate diagnostic performance comparable to clinicians in controlled ...
Sofía Pérez‐Lalinde   +1 more
wiley   +1 more source

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