Results 121 to 130 of about 424,711 (307)

Evaluation Metrics for Single Image Dehazing: A Domain-Specific Composite Evaluation Framework and Comprehensive Review

IEEE Access
Single image dehazing is a fundamental computer vision problem aimed at recovering haze-free images from atmospherically degraded observations. Despite steady algorithmic advances spanning physics-based priors, deep learning, and hybrid frameworks ...
Ghazala Rafiq, Muhammad Rafiq, Ho-Youl Jung, Gyu Sang Choi   +3 more
doaj   +1 more source

Investigating transcription factor dynamics in health and disease using FRAP

FEBS 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, Carolina Vazquez Garzon, Jose Joaquin Velasco, Janine N. Post   +3 more
wiley   +1 more source

Under- and over-segmentation: New metrics for image segmentation accuracy measurement

Array
Image segmentation is a cornerstone of computer vision, with critical applications in medicine, autonomous vehicles, and agriculture. Despite advancements in deep learning-based segmentation, existing evaluation metrics (e.g., pixel accuracy, dice ...
Mobin Mohammadi, Kaveh Mollazade, Nasser Behroozi-Khazaei   +2 more
doaj   +1 more source

The role of miR‐335‐5p in the redifferentiation of BRAF p.V600E thyroid cancers

Molecular Oncology, EarlyView.
The BRAF p.V600E mutation promotes thyroid cancer dedifferentiation and radioiodine resistance. Using a network approach, we identified miR‐335‐5p as a key regulator of BRAF‐mutated thyroid tumors. Restoring miR‐335‐5p increased thyroid‐specific gene expression and iodine uptake in cells and organoids.
Valeria Pecce, Simone Bini, Marialuisa Sponziello, Giorgio Grani, Giulia Fiscon, Paola Paci, Lorenzo Farina, Rosa Falcone, Valentina Maggisano, Sebastiano Filetti, Cosimo Durante, Antonella Verrienti   +11 more
wiley   +1 more source

Critical Homogeneous Metrics on the Heisenberg Manifold [PDF]

, 2010
application/pdfLet H be the Heisenberg group and let Γ be the discrete subgroup of H with integer entries. We obtain a necessary and sufficient condition for a homogeneous metric g on H/Γ to be a critical point for the total scalar curvature functional I
Park, Joon-Sik
core   +1 more source

New Metrics from Polysomnography: Precision Medicine for OSA Interventions

Nature and Science of Sleep, 2023
Junwei Guo, Yi Xiao Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s Republic of ChinaCorrespondence: Yi Xiao, Department of
Guo J, Xiao Y
doaj  

TRAIL‐PEG‐Apt‐PLGA nanosystem as an aptamer‐targeted drug delivery system potential for triple‐negative breast cancer therapy using in vivo mouse model

Molecular Oncology, EarlyView.
Aptamers are used both therapeutically and as targeting agents in cancer treatment. We developed an aptamer‐targeted PLGA–TRAIL nanosystem that exhibited superior therapeutic efficacy in NOD/SCID breast cancer models. This nanosystem represents a novel biotechnological drug candidate for suppressing resistance development in breast cancer.
Gulen Melike Demirbolat, Aslihan Kucuk, Omer Erdogan, Samed Ozer, Bensu Kozan, Tugba Cuceli, Erkan Gumus, Evrim Cevik, Ozge Cevik   +8 more
wiley   +1 more source

How accurate are ChatGPT-4 responses in chronic urticaria? A critical analysis with information quality metrics

World Allergy Organization Journal
Background: The increasing use of artificial intelligence (AI) in healthcare, especially in delivering medical information, prompts concerns over the reliability and accuracy of AI-generated responses.
Ivan Cherrez-Ojeda, Ph.D.(c), Marco Faytong-Haro, Ph.D.(c), Patricio Alvarez-Muñoz, Ph.D., José Ignacio Larco, MD, Erika de Arruda Chaves, MD, Isabel Rojo, MD, Carol Vivian Moncayo, MD, German D. Ramon, MD, Gabriela Rodas-Valero, MD, Emek Kocatürk, MD, Giselle S. Mosnaim, MD, Karla Robles-Velasco, MD   +11 more
doaj   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

A software testing estimation and process control model [PDF]

, 1998
The control of the testing process and estimation of the resource required to perform testing is key to delivering a software product of target quality on budget.
Archibald, Colin J.
core