Results 151 to 160 of about 41,998 (282)

Noninvasive Characterization of Tumor Heterogeneity in HNSCC: From Clinical Utility to Biological Correlates

Advanced Science, EarlyView.
This study establishes a CT‐based radiomics framework to quantify intratumoral heterogeneity (ITH) in HNSCC. Using unsupervised clustering, tumor ROIs and VOIs are analyzed to calculate 2D/3D ITH scores. The score shows strong predictive value for prognosis and immunotherapy response, and is associated with tumor metabolism and immune microenvironment,
Xinwei Chen, Rui Liu, Yuan Zhou, Yin Xiao, Chengmin Feng, Lin Chen, Yanshi Li, Mengna Wang, Zhaobo Cheng, Yuxi Luo, Long Liu, Lijing Niu, Yue Xiang, Juan Peng, Guohua Hu, Min Pan   +15 more
wiley   +1 more source

Medicolegal aspects of digestive endoscopy: Results of a Chilean national survey

Endoscopy International Open
Oscar Corsi, María Jesús Fuenzalida, José Ignacio Vargas, Verónica Silva, Maximiliano Figueroa, Juan Andrés Prato, Andrea Künsemüller, Alberto Espino   +7 more
doaj   +1 more source

A Multidimensional Framework for Pharmaceutical Care to Enhance Medication Adherence and Patient Engagement: The CMO-MAPEX Model. [PDF]

Patient Prefer Adherence
Morillo-Verdugo R, Ibarra-Barrueta O, Martin Conde MT, Vicente-Escrig E, Contreras Macias E.   +4 more
europepmc   +1 more source

FOS3D: A Fluorescence‐Enabled Toolkit for Characterizing a Three‐dimensional Osteosarcoma Model

Advanced Science, EarlyView.
FOS3D describes fluorescent (F) osteosarcoma (OS) cells in a tri‐dimensional (3D) model. The study comprises three phases: development, where biofabrication parameters are tuned to achieve cytocompatibility and tumor‐specific mechanical properties in cell‐laden gelatin methacryloyl constructs; validation, where whole‐well fluorescence reading is ...
William Humble, Wiktor Zywicki, Enrico Lucarelli, Ania Naila Guerrieri, Francesca Taraballi, Gianluca Cidonio, Claudia Di Bella, Carmine Onofrillo, Andrea J. O'Connor, Serena Duchi   +9 more
wiley   +1 more source

Non-anesthesiologist-administered propofol sedation for gastrointestinal endoscopy in ASA III patients: Eight-year experience

Endoscopy International Open
Giuliano F. Bonura, Pablo Cortegoso Valdivia, Gabriella Frassanito, Noemi Gualandi, Paola Soriani, Federica Indulti, Valentina Zadro, Arianna Parrella, Tommaso Gabbani, Antonio Facciorusso, Konstantinos Triantafyllou, Mauro Manno   +11 more
doaj   +1 more source

Balint Groups as a Workforce and Patient Experience Strategy: Lessons From Implementation. [PDF]

J Patient Exp
Hobbs M, Arrigo M, Mike Boutin ER.
europepmc   +1 more source

Circulating Amino Acid Network Remodeling Reveals Systemic Metabolic Reprogramming Predictive of Colorectal Cancer Recurrence and Metastasis

Advanced Science, EarlyView.
Blood‐based amino acid patterns measured by 19F NMR reveal hidden metabolic changes in colorectal cancer. By analyzing how these amino acids interact as a network, machine learning models identify patients at higher risk of recurrence and metastasis.
Ji‐Yeon Lee, Jumi Kim, Taehan Yoon, So Hyun Kwon, Su Chan Park, Dohyun Chun, Dohyeong Kim, Eun Jung Park, Hyunwoo Kim, Ji Min Lee   +9 more
wiley   +1 more source

Effectiveness of drying in digestive endoscope reprocessing: Systematic review on residual droplets and microorganisms

Endoscopy International Open
Chengyi Han, Yanyan Chen, Yan Chen, Yangyi Li, Xuesong Jiang, Qing Song   +5 more
doaj   +1 more source

Barriers and facilitators to research data collection in resource-limited settings: a qualitative study of research coordinators in the Nigeria Implementation Science Alliance Network. [PDF]

BMJ Open
Idemili-Aronu N, Jemisenia JO, Okoli IA, Salla NS, Abalaka BI, Hundu DK, Olawepo JO, Ibemere S, Olakunde BO, Ezeanolue EE.   +9 more
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source