Results 171 to 180 of about 71,888 (256)

Negative spillover due to constraints on care delivery: a potential source of bias in pragmatic clinical trials. [PDF]

Trials
Mann S.
europepmc   +1 more source

Tackling cancer stemness with nanotechnology in the era of precision medicine

BMEMat, EarlyView.
Precise customization of nanoparticles (NPs) enables active targeting of cancer stem cells (CSCs), thereby improving drug delivery and therapeutic efficacy. NP‐based probing enhances CSC detection through imaging and liquid biopsy, whereas diverse therapeutic payloads improve therapeutic outcomes.
Shaolei Guo, Shun Yao, Lihui Meng, Chunyuan Chen, Yuechu Lucinda Lu, Rong Lu, Kashif Rafiq Zahid, Umar Raza, Qingzhi Wu, Wenli Chen   +9 more
wiley   +1 more source

Bridging research and practice: enhancing regulatory decisions with pragmatic clinical trials in oncology. [PDF]

ESMO Real World Data Digit Oncol
Stewart MD, McKee AE, Herbst RS, Andrews HS, McKelvey BA, Sigal EV, Allen JD.   +6 more
europepmc   +1 more source

Environmental Management Accounting in Private Hospitals: Navigating Competing Strategic Priorities for Sustainable Decision‐Making

Business Strategy and the Environment, EarlyView.
ABSTRACT Environmental management accounting (EMA) is increasingly recognised as essential for carbon governance, accountability and net zero transitions, yet research has overlooked how sustainability is negotiated within mission‐driven but commercially exposed service organisations such as private hospitals in developing economies, a sector often ...
M. M. Swalih, Ronita Ram, Edward Tew
wiley   +1 more source

Individualized clinical decisions within standard-of-care pragmatic clinical trials: Implications for consent. [PDF]

Clin Trials
Astrachan IM, Flory J, Kim SY.
europepmc   +1 more source

Personalized Gamified Learning in a Course on the Urogenital System Anatomy: Differential Effects Across Learning Preference Profiles

Clinical Anatomy, EarlyView.
ABSTRACT Personalized learning approaches adapted to individual metacognitive characteristics have demonstrated promise in Anatomy education. However, whether such benefits are uniform across learner profiles or vary systematically remains an open question with implications for individualized instructional approaches.
Mónica Stambuk‐Castellano, Alejandro Ortega‐Arranz, Anna Carrera, Enrique Verdú, R. Shane Tubbs, Joe Iwanaga, Francisco Reina   +6 more
wiley   +1 more source

Engaging clinical partners in pragmatic clinical trials: lessons learned from the pain management collaboratory. [PDF]

Pain Med
Bastian LA, Cohen SP, Salsbury SA, Davis AF, Katsovich L, Kerns RD.   +5 more
europepmc   +1 more source

Drug‐Coated Balloon‐Based Strategy for De Novo Coronary Artery Disease Across Complex and High‐Risk Indicated Percutaneous Coronary Intervention Risk Categories: A Multicenter Registry Study

Catheterization and Cardiovascular Interventions, EarlyView.
ABSTRACT Background Evidence regarding the risk‐stratified effectiveness of drug‐coated balloon (DCB)‐based PCI for de novo coronary artery disease (CAD) remains limited, particularly in patients undergoing complex and high‐risk indicated percutaneous coronary intervention (CHIP PCI).
Dong Oh Kang, Sunwon Kim, Ae‐Young Her, Eun‐Seok Shin   +3 more
wiley   +1 more source

Monitoring and reporting adverse events in pragmatic clinical trials testing nonpharmacological pain management interventions. [PDF]

Pain Med
Burns A, Young-McCaughan S, Davis AF, Vining R, Ali J, Fritz JM, Morasco BJ, Rhon DI, Roogow R, Kyriakides TC, Kerns RD.   +10 more
europepmc   +1 more source

VERMONT μQFR: Diagnostic Accuracy of Murray Law‐Based 2D‐μQFR Compared to 3D‐μQFR and vFFR

Catheterization and Cardiovascular Interventions, EarlyView.
ABSTRACT Background Murray law‐based quantitative flow ratio (μQFR) is an angiography‐derived physiological index that utilizes a single angiographic projection with artificial intelligence‐guided vessel segmentation. Aims To evaluate the diagnostic accuracy and time efficacy of 2D‐μQFR against wire‐based fractional flow reserve (FFR ≤ 0.80), compare ...
Daniel Akrawi, Krishna Kadappu, James Xu, Tamer Yousef Naguib Badie, Oliver Gibbs, Hashim Kachwalla, Phong T. D. Nguyen, Rahul Kurup, Upul Premawardhana, Justyn Huang, Hao Tran, Kavie Soosapilla, Jim Basilakis, Aiden O'loughlin, Annemarie Hennessy, Giuseppe Femia, Sidney Lo   +16 more
wiley   +1 more source