Results 51 to 60 of about 6,306 (210)
Aducanumab is a human immunoglobulin G1 anti‐amyloid beta (Aβ) antibody currently being evaluated for potential treatment of patients with early Alzheimer’s disease.
Kumar Kandadi Muralidharan +6 more
doaj +1 more source
Capacity building in medicines development and regulation in Africa—Overview on recent progress
Aims Despite advances in health research and digital innovation, many African countries continue to face substantial resource constraints, fragmented capacity‐building efforts and a shortage of skilled professionals in medicines development and regulatory science.
Tirhani Maluleke +7 more
wiley +1 more source
Traditional dosing strategies often rely on a “one‐size‐fits‐all” paradigm, assuming an “average” patient with typical demographic and pharmacological characteristics. In reality, this often overlooks existing between‐patient variability and can lead to suboptimal drug exposure or toxicity. This issue is especially pronounced in pediatric patients, who
Zachary L. Taylor +12 more
wiley +1 more source
Tutorial on Causal Mediation Analysis for Pharmacometricians
Mediation analyses can support biomarker development by quantifying the part of the total treatment effect on clinical outcome that is mediated by the biomarker.
Sebastiaan Camiel Goulooze +2 more
doaj +1 more source
Elagolix is an oral gonadotropin‐releasing hormone antagonist approved by the US Food and Drug Administration (FDA) for the management of moderate‐to‐severe pain associated with endometriosis and in combination with estradiol/norethindrone acetate ...
Insa Winzenborg +5 more
doaj +1 more source
AI‐Enabled Precision Dosing in Pediatrics: Enhancing Model‐Informed Decision Making
Ensuring safe and effective pharmacotherapy for children remains a central challenge in clinical pharmacology, yet rapid advances in AI have not translated into clinical practice. This Perspective highlights how AI‐enabled approaches can enhance model‐informed decision making for precision dosing.
Kei Irie, Tomoyuki Mizuno
wiley +1 more source
Evaluation of machine learning methods for covariate data imputation in pharmacometrics
Missing data create challenges in clinical research because they lead to loss of statistical power and potentially to biased results. Missing covariate data must be handled with suitable approaches to prepare datasets for pharmacometric analyses, such as
Dominic Stefan Bräm +4 more
doaj +1 more source
Digital Transformation of Medicines Regulation in Africa—Perspectives from a Stakeholder Convening
Regulatory authorities worldwide are developing strategies to integrate artificial intelligence (AI) into the lifecycle of health products, technologies, and medicines. While regulators share goals of improving efficiency, strengthening decision‐making, and protecting public health, their approaches differ according to institutional structures ...
Christelna Reyneke +12 more
wiley +1 more source
Exposure–response (E–R) analyses of sunitinib in metastatic renal cell carcinoma (mRCC) have supported concentration‐guided dose escalation. However, such analyses may be biased when exposure metrics incorporate post‐baseline dose modifications, time‐varying apparent clearance, or baseline factors that influence both pharmacokinetics and clinical ...
Han Liu, Lena E. Friberg
wiley +1 more source
Abstract Intranasal diamorphine (IND), approved for managing breakthrough pain in the UK, has been identified as an acceptable alternative offering effective, expedient, and less traumatic analgesia for children. However, the current dose regimen in pediatric populations relies on clinical expertise while the pharmacokinetics properties are poorly ...
Lianjin Cai +6 more
wiley +1 more source

