Results 151 to 160 of about 8,452 (228)

Global Stakeholder Perspectives on Real-World Data and Evidence in Health Technology Assessment: An Exploratory Study. [PDF]

Healthcare (Basel)
Zisis K, Pavi E, Geitona M, Athanasakis K.   +3 more
europepmc   +1 more source

Editorial: Utilizing real-world evidence for better endocrine health management. [PDF]

Front Endocrinol (Lausanne)
Mei M, Lopes LC, Li C.
europepmc   +1 more source

A Cross-Sectional Survey of Evidence Needs for Medicinal Products in Europe With a Focus on Real-World Evidence. [PDF]

Pharmacoepidemiol Drug Saf
Melinder M, Windfuhr F, Dahlqvist T, Torre C, Sepodes B, Mol PGM, Almeida D, Ekheden I, Feltelius N, Roes K, de Vries ST, Wettermark B.   +11 more
europepmc   +1 more source

R WE ready for reimbursement? A round-up of developments in real-world evidence relating to health technology assessment: part 25. [PDF]

J Comp Eff Res
Arora P, Ramagopalan SV.
europepmc   +1 more source

Infection risk associated with teclistamab in relapsed/refractory multiple myeloma: a systematic review and meta-analysis of clinical trial and real-world evidence. [PDF]

Front Immunol
Huang ZY, Chen J, Zhu B, Liu XL.
europepmc   +1 more source

Best Practices and Gaps in Current Regulatory and Health Technology Assessment Real-World Evidence Policies for Medicines and Medical Devices: Current State of Play and Next Steps. [PDF]

Clin Transl Sci
Cresswell K, Claire R, Issa L, Kubehl L, Bilal O, Purcell R, Clemente A, Wested J, Jensen LG, Sasane M, Peeters R, Shinkins B, Colvin H.   +12 more
europepmc   +1 more source

Advancing real-world evidence harmonization: lessons from the UK, EMA and global policy frameworks. [PDF]

J Comp Eff Res
Sagkriotis A.
europepmc   +1 more source

Time to accelerate rare disease research: AI-powered in silico trials, digital twin-driven RCTs and decision-grade real-world evidence. [PDF]

Br J Clin Pharmacol
Belančić A, Gkrinia EMM, Pasqua OD, Sofat R, Vitezić D, Likić R.   +5 more
europepmc   +1 more source

Comparative Analysis of Pathology Foundation Models for Automated Detection of Tertiary Lymphoid Structures in Hematoxylin-and-Eosin-Stained Digital Pathology Images. [PDF]

Comput Struct Biotechnol J
Guan M, Sun Y, Belete M, Muthuswamy A, Farma M, Kaufmann J, Lechpammer M, Sridhar S, Higgs BW, Si H.   +9 more
europepmc   +1 more source

Integrating Artificial Intelligence, Circulating Tumor DNA, and Real-World Evidence to Optimize Hematologic Clinical Trials: Toward Adaptive and Learning Trial Designs. [PDF]

Cancers (Basel)
Mahmoud AM, Touti JP, Zaidi SR, Kodipad AA, Deambrogi C.   +4 more
europepmc   +1 more source