Results 31 to 40 of about 39,288 (183)

Predictive Maintenance in Pharma Manufacturing: Challenges and Strategic Directions

open access: yesEngineering Proceedings
Predictive maintenance (PdM) has emerged as a critical enabler for improving reliability, operational efficiency, and regulatory compliance in pharmaceutical manufacturing.
Oumaima Manchadi   +4 more
doaj   +1 more source

BRET biosensors to study GPCR biology, pharmacology and signal transduction

open access: yesFrontiers in Endocrinology, 2012
Bioluminescence Resonance Energy Transfer (BRET) based biosensors have been extensively used over the last decade to study protein-protein interactions and intracellular signal transduction in living cells.
Ali eSalahpour   +5 more
doaj   +1 more source

Trustworthy Multimodal AI Agents for Early Breast Cancer Detection and Clinical Decision Support

open access: yesEngineering Proceedings
Timely and precise identification of breast cancer is crucial for enhancing clinical outcomes; however, current AI systems frequently exhibit deficiencies in transparency, trustworthiness, and the capacity to assimilate varied data modalities.
Ilyass Emssaad   +4 more
doaj   +1 more source

BRET biosensor analysis of receptor tyrosine kinase functionality

open access: yesFrontiers in Endocrinology, 2013
Bioluminescence resonance energy transfer (BRET) is an improved version of earlier resonance energy transfer technologies used for the analysis of biomolecular protein interaction.
Sana eSiddiqui   +4 more
doaj   +1 more source

Auto-luminescent genetically-encoded ratiometric indicator for real-time Ca2+ imaging at the single cell level. [PDF]

open access: yesPLoS ONE, 2010
BACKGROUND: Efficient bioluminescence resonance energy transfer (BRET) from a bioluminescent protein to a fluorescent protein with high fluorescent quantum yield has been utilized to enhance luminescence intensity, allowing single-cell imaging in near ...
Kenta Saito   +6 more
doaj   +1 more source

CT-to-Toxicity: A Proof-of-Concept AI Pipeline for Automatic Segmentation, Dose Estimation, and Toxicity Prediction in Breast Cancer Radiotherapy

open access: yesIEEE Access
In breast cancer radiotherapy, clinicians must deliver an adequate tumor dose while protecting surrounding healthy organs. This balance remains difficult: planning is often limited by manual contours, the loss of spatial information, and simplified ...
Manal Chakour El Mezali   +4 more
doaj   +1 more source

Using nanoBRET and CRISPR/Cas9 to monitor proximity to a genome-edited protein in real-time

open access: yesScientific Reports, 2017
Bioluminescence resonance energy transfer (BRET) has been a vital tool for understanding G protein-coupled receptor (GPCR) function. It has been used to investigate GPCR-protein and/or -ligand interactions as well as GPCR oligomerisation.
Carl W. White   +4 more
doaj   +1 more source

Evolution of BRET biosensors from live cell to tissue-scale in vivo imaging

open access: yesFrontiers in Endocrinology, 2013
Development of bioluminescence resonance energy transfer [BRET] based genetic sensors for sensing biological functions such as protein-protein interactions [PPIs] in vivo has a special value in measuring such dynamic events at their native environment ...
ABHIJIT eDE   +3 more
doaj   +1 more source

Too Complex to Choose? The Role of Heuristics in Shaping Farmers' Willingness to Pay for Income Stabilization Tool in Italy

open access: yesAgribusiness, EarlyView.
ABSTRACT European agriculture is increasingly exposed to economic instability driven by extreme weather events, market volatility, and geopolitical tensions. To manage these growing risks, farmers are encouraged to adopt innovative risk management strategies such as the Income Stabilization Tool (IST), which offers protection against severe income ...
Alice Stiletto   +5 more
wiley   +1 more source

A Neuro-Symbolic Clinical Agent for cardiovascular risk stratification: Integrating stacking ensembles with simulation-augmented reasoning

open access: yesInformatics in Medicine Unlocked
This research presents a Neuro-Symbolic Clinical Agent for cardiovascular risk assessment that integrates ensemble machine learning with tightly coupled counterfactual simulation and targeted guideline retrieval. The framework is trained and validated on
Youssef Ait Bigane   +6 more
doaj   +1 more source

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