Results 51 to 60 of about 134,657 (258)

Deep Learning-Based Screening Test for Cognitive Impairment Using Basic Blood Test Data for Health Examination

open access: yesFrontiers in Neurology, 2020
Background: In order to develop a new screening test of cognitive impairment, we studied whether cognitive function can be estimated from basic blood test data by applying deep learning models.
Kaoru Sakatani   +3 more
doaj   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

Ground truth based comparison of saliency maps algorithms

open access: yesScientific Reports, 2023
Deep neural networks (DNNs) have achieved outstanding results in domains such as image processing, computer vision, natural language processing and bioinformatics.
Karolina Szczepankiewicz   +7 more
doaj   +1 more source

Investigating transcription factor dynamics in health and disease using FRAP

open access: yesFEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj   +3 more
wiley   +1 more source

The therapeutic opportunities and pitfalls of using iron ion chelators to treat neurodegenerative diseases

open access: yesFEBS Letters, EarlyView.
Although too much iron in the brain promotes neurodegeneration, iron ion chelators have had mixed effects in clinical trials. This review explains why; some chelators do not render the iron redox‐inactive (e.g., L1) whereas others do (e.g., desferrioxamine).
Barry Halliwell
wiley   +1 more source

UAS-Based SAR Repeat-Pass Interferometry With Ground Truth

open access: yesIEEE Access
Radar systems operating aboard unmanned aerial systems (UASs) or drones are gaining lot of interest in the remote sensing field. UASs have recently been tested as platforms for synthetic aperture radar (SAR) systems. There are many expectations regarding
Alessandra Beni   +5 more
doaj   +1 more source

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

open access: yesMolecular Oncology, EarlyView.
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge   +17 more
wiley   +1 more source

Optimizing data collection requirements for machine learning models in wild blueberry automation through the application of DALL-E 2

open access: yesSmart Agricultural Technology
This research developed a workflow to assess the viability of AI-generated imagery in training machine learning models for detecting ripe wild blueberries (Vaccinium angustifolium Ait.), hair fescue weeds (Festuca filiformis Pourr.), and red leaf disease
Connor C. Mullins   +3 more
doaj   +1 more source

Circulating microRNA signatures of cachexia and cancer in Canis familiaris as a comparative oncology model for human disease

open access: yesMolecular Oncology, EarlyView.
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park   +6 more
wiley   +1 more source

CropSight-US: an object-based crop type ground truth dataset using street view and Sentinel-2 satellite imagery across the contiguous United States, 2013–2023 [PDF]

open access: yesEarth System Science Data
Accurate and scalable crop type maps are vital for supporting food security, as they provide critical information on the specific crops cultivated in a given area to inform agricultural decision-making and enhance crop productivity.
Z. Zhou, Y. Liu, C. Diao
doaj   +1 more source

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