Results 111 to 120 of about 257,439 (325)
Advanced Healthcare Materials, EarlyView.Minimal residual disease (MRD) leads to cancer relapse and poor survival in ovarian cancer. The lack of representative 3D models limits therapy development. The microfluidics‐based high throughput 3D microtumor platform described here generates clinically‐relevant MRD models. The 3D microtumors recapitulate the molecular signatures of MRD from patients.
Xingyun Yang +14 more
wiley +1 more source
The Dataset Nutrition Label: A Framework To Drive Higher Data Quality Standards [PDF]
arXiv, 2018 Artificial intelligence (AI) systems built on incomplete or biased data will often exhibit problematic outcomes. Current methods of data analysis, particularly before model development, are costly and not standardized. The Dataset Nutrition Label (the Label) is a diagnostic framework that lowers the barrier to standardized data analysis by providing a ...
arxiv
Advanced Healthcare Materials, EarlyView.Volumetric muscle loss (VML) due to trauma or surgery, often leads to physical impairments. Traditional treatments rely on autologous flaps, limited by muscle availability often leading to donor site morbidity. This study presents multimodal bioprinting as an innovative approach for fabricating vascularized muscle flaps with 3D‐printed macrovessels ...
Eliana O. Fischer +8 more
wiley +1 more source
Agricultural and Food EconomicsWhile soft drinks stand out as a major cause of obesity and overweight worldwide, the USA is the country most concerned with this problem. To reverse the situation, experts have agreed that labels and taxes represent promising policy tools.
Clement O. Codjia +2 more
doaj +1 more source
Eating Smart: Advancing Health Informatics with the Grounding DINO based Dietary Assistant App [PDF]
Eating Smart: Advancing Health Informatics with the Grounding
DINO-based Dietary Assistant App, International Journal of Scientific and
Innovative Studies, June 2024, Volume 3, Number 3, Pages 26-34, Available
online at IJSRISThe Smart Dietary Assistant utilizes Machine Learning to provide personalized dietary advice, focusing on users with conditions like diabetes. This app leverages the Grounding DINO model, which combines a text encoder and image backbone to enhance food item detection without requiring a labeled dataset. With an AP score of 52.5 on the COCO dataset, the
arxiv +1 more source
Long-Term Behavior Change of Participants in a Northeast Nutrition Education Program [PDF]
, 2019 Limited data exist on the self-reported retention of core educational concepts by Maine Expanded Food and Nutrition Education Program (EFNEP) participants.
Bonnett, Rebecca +3 more
core +1 more source
Recent Applications of Mesoporous Silica Nanoparticles in Gene Therapy
Advanced Healthcare Materials, EarlyView.The review summarizes the synthesis of mesoporous silica nanoparticles (MSNs) with modifiable surface properties, functionalization strategies, mechanism of therapeutic payload release, and current applications in gene therapy, focusing on their capabilities in the targeted delivery of therapeutic nucleic acids, CRISPR‐Cas systems, and other genetic ...
Tamanna Binte Huq +4 more
wiley +1 more source
PLoS ONE, 2020 BackgroundThis study aimed to explain the strengths and weaknesses of the Traffic light label (TLL) and nutrition facts label (NFL) and the strategies for improving their use in Iran, based on the perspectives of different stakeholders, including mothers,
Shirin Seyedhamzeh +5 more
doaj +1 more source
Matcha: An IDE Plugin for Creating Accurate Privacy Nutrition Labels [PDF]
Apple and Google introduced their versions of privacy nutrition labels to the mobile app stores to better inform users of the apps' data practices. However, these labels are self-reported by developers and have been found to contain many inaccuracies due to misunderstandings of the label taxonomy.
arxiv +1 more source