Results 191 to 200 of about 79,857 (263)

Editorial Commentary: May the Force Be With You—Preoperative Strength Is the Rotator Cuff Retear Predictor We Can Actually Train

Arthroscopy, EarlyView.
Abstract Predicting the clinical course of rotator cuff repairs is one of the most significant and unresolved challenges in shoulder surgery. Most established predictors of retear (e.g., advanced age, fatty infiltration, large tear size, and tendon retraction) are nonmodifiable—already set prior to the time the patient arrives in the operating room ...
Dustin J. Kress, Toufic R. Jildeh
wiley   +1 more source

Effects of Non-Pharmacological Interventions on Degree of Thirst and Oral Mucosal Moisture in Critically Ill Patients: A Systematic Review and Meta-Analysis. [PDF]

Nurs Crit Care
Shen X, Wang R, Zhao L, Chen L, Ma J.
europepmc   +1 more source

Integration of Nutrition and Organic Agriculture Framework in Managing Gastrointestinal Nematodes in Ruminants

Animal Research and One Health, EarlyView.
Gastrointestinal nematode infections damage the gastrointestinal epithelial tissues of ruminants, affecting nutrient utilization and overall production performance. This review outlines host‐gastrointestinal nematode interactions and discusses integrated control strategies, including nutritional supplementation, grazing management, vaccines, and ...
Wenxun Chen, Xiangfang Tang, Yimin Zhuang, Shengjun Zhao, Ying Ren, Xiaokang Lv   +5 more
wiley   +1 more source

Investigation of trends, hot spots and effective therapies for pregnancy outcomes in polycystic ovary syndrome: a bibliometric analysis. [PDF]

Front Med (Lausanne)
Shi Z, Li F, Gao T, Chang H.
europepmc   +1 more source

Prospecting of Architectural Features Using LiDAR‐UAV Technology, Deep Neural Networks and Visualization Techniques: A Case Study in Kuélap and Cambolín (NW Peru)

Archaeological Prospection, EarlyView.
ABSTRACT High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained
Jhon A. Zabaleta‐Santisteban, Rolando Salas López, Angel J. Medina‐Medina, Katerin M. Tuesta‐Trauco, Abner S. Rivera‐Fernandez, Nerci M. Noriega‐Salazar, José A. Sánchez‐Vega, Teodoro B. Silva‐Melendez, Marlen A. Grandez‐Alberca, Jhonsy O. Silva‐López, Nilton B. Rojas‐Briceño, Manuel Oliva‐Cruz, Alexander Cotrina‐Sanchez, Elgar Barboza   +13 more
wiley   +1 more source

Editorial: New drugs in lipid lowering therapy. [PDF]

Front Cardiovasc Med
Bytyçi I, Banach M, Pećin I.
europepmc   +1 more source

Feedback strategies: Applying theory to practice

Anatomical Sciences Education, EarlyView.
Abstract Feedback is a cornerstone of the learning process, as evidenced by extensive educational research on enhancing its process and impact. However, learners consistently rate the quality of feedback lower compared to other aspects of teaching. Over the past decade, feedback models have shifted from a traditional, one‐way transmission from educator
Jenny Clancy, Bipasha Choudhury, Subha Ramani   +2 more
wiley   +1 more source

Editorial: Enhancing cancer therapy: integrating plant-derived bioactives with chemotherapy through traditional knowledge and modern advances. [PDF]

Front Pharmacol
Oladele JO, Ajayi EIO, Adewale OO, Oyewole OI.   +3 more
europepmc   +1 more source

Navigating AI with pedagogical purpose: Toward an anatomy‐centered framework for AI‐enhanced learning

Anatomical Sciences Education, EarlyView.
Abstract Artificial Intelligence (AI) has emerged as a transformative force in medical education, enabling customized, feedback‐rich, and immersive learning experiences. Anatomy education, as a discipline that is simultaneously visual, spatial, and clinically foundational, occupies a distinctive position within this technological landscape.
Rachel Jayasekhar, Gok Kandasamy
wiley   +1 more source

Global research trends of TCM-based nonpharmacologic interventions in breast cancer supportive care: a bibliometric analysis (2000-2025). [PDF]

Front Oncol
Wang Q, Zhu Y, Feng H, Yu Q, Ding C.
europepmc   +1 more source