From real‐world patient data to individualized treatment effects using machine learning: current and future methods to address underlying challenges

I Bica, AM Alaa, C Lambert… - Clinical Pharmacology …, 2021 - Wiley Online Library
Clinical decision making needs to be supported by evidence that treatments are beneficial to
individual patients. Although randomized control trials (RCTs) are the gold standard for …

Model-informed precision dosing: background, requirements, validation, implementation, and forward trajectory of individualizing drug therapy

AS Darwich, TM Polasek, JK Aronson… - Annual review of …, 2021 - annualreviews.org
Model-informed precision dosing (MIPD) has become synonymous with modern approaches
for individualizing drug therapy, in which the characteristics of each patient are considered …

Leveraging external data in the design and analysis of clinical trials in neuro-oncology

R Rahman, S Ventz, J McDunn, B Louv… - The Lancet …, 2021 - thelancet.com
Integration of external control data, with patient-level information, in clinical trials has the
potential to accelerate the development of new treatments in neuro-oncology by …

[HTML][HTML] Intravenous edaravone treatment in ALS and survival: An exploratory, retrospective, administrative claims analysis

BR Brooks, JD Berry, M Ciepielewska, Y Liu… - …, 2022 - thelancet.com
Background We aimed to evaluate overall survival in US patients with amyotrophic lateral
sclerosis (ALS) treated with intravenous (IV) edaravone compared with those not treated …

Tumor-derived systems as novel biomedical tools—turning the enemy into an ally

N Desai, P Katare, V Makwana, S Salave… - Biomaterials …, 2023 - spj.science.org
Cancer is a complex illness that presents significant challenges in its understanding and
treatment. The classic definition," a group of diseases characterized by the uncontrolled …

Use of real‐world data and evidence in drug development of medicinal products centrally authorized in Europe in 2018–2019

SM Eskola, HGM Leufkens, A Bate… - Clinical …, 2022 - Wiley Online Library
Real‐world data/real‐world evidence (RWD/RWE) are considered to have a great potential
to complement, in some cases, replace the evidence generated through randomized …

[HTML][HTML] Application of real-world data to external control groups in oncology clinical trial drug development

TA Yap, I Jacobs, E Baumfeld Andre, LJ Lee… - Frontiers in …, 2022 - frontiersin.org
Randomized controlled trials (RCTs) that assess overall survival are considered the “gold
standard” when evaluating the efficacy and safety of a new oncology intervention. However …

[HTML][HTML] Harnessing real-world evidence to advance cancer research

M Tang, SA Pearson, RJ Simes, BH Chua - Current Oncology, 2023 - mdpi.com
Randomized controlled trials (RCTs) form a cornerstone of oncology research by generating
evidence about the efficacy of therapies in selected patient populations. However, their …

Escitalopram and sertraline population pharmacokinetic analysis in pediatric patients

EA Poweleit, ZL Taylor, T Mizuno, SE Vaughn… - Clinical …, 2023 - Springer
Abstract Background and Objective Escitalopram and sertraline are commonly prescribed
for anxiety and depressive disorders in children and adolescents. The pharmacokinetics …

[HTML][HTML] Large-scale real-world data analysis identifies comorbidity patterns in schizophrenia

C Lu, D Jin, N Palmer, K Fox, IS Kohane… - Translational …, 2022 - nature.com
Abstract Schizophrenia affects> 3.2 million people in the USA. However, its comorbidity
patterns have not been systematically characterized in real-world populations. To address …