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From real world data to real world evidence to improve outcomes in neuro-ophthalmology
Real-world data (RWD) can be defined as all data generated during routine clinical care. This includes electronic health records, disease-specific...
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REAL-Colon: A dataset for develo** real-world AI applications in colonoscopy
Detection and diagnosis of colon polyps are key to preventing colorectal cancer. Recent evidence suggests that AI-based computer-aided detection...
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Von Real-World-Daten zur Real-World-Evidenz: eine praktische Anleitung
BackgroundReal-world evidence (RWE), the understanding of treatment effectiveness in clinical practice generated from longitudinal patient-level data...
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Real-time online unsupervised domain adaptation for real-world person re-identification
Following the popularity of Unsupervised Domain Adaptation (UDA) in person re-identification, the recently proposed setting of Online Unsupervised...
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Real-world-Ergebnisse von glaukomchirurgischen Verfahren beim Offenwinkelglaukom
This article provides an overview of real-world outcomes in glaucoma surgical procedures. While randomized clinical trials provide valuable insights,...
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Benchmarking Object Detection Robustness against Real-World Corruptions
With the rapid recent development, deep learning based object detection techniques have been applied to various real-world software systems,...
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Maximizing the Value of Real-World Data and Real-World Evidence to Accelerate Healthcare Transformation in China: Summary of External Advisory Committee Meetings
Use of real-world data (RWD) is gaining wide attention. To bridge the gap between diverse healthcare stakeholders and to leverage the impact of...
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Examining Endpoint Concordance in Clinical Trials and Real-World Clinical Practice to Advance Real-World Evidence Utilization
Real-world evidence (RWE) is increasingly contributing to more informed decisions regarding the optimal access to and use of therapeutics to improve...
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Real-World Problems
Here I formulate and solve a few real-world problems. I emphasize the difference between the practical formulations and their academic counterparts.... -
Open Set Recognition in Real World
Open set recognition (OSR) constitutes a critical endeavor within the domain of computer vision, frequently deployed in applications, such as...
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Disease progression strikingly differs in research and real-world Parkinson’s populations
Characterization of Parkinson’s disease (PD) progression using real-world evidence could guide clinical trial design and identify subpopulations....
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Diversity of information pathways drives sparsity in real-world networks
Complex systems must respond to external perturbations and, at the same time, internally distribute information to coordinate their components....
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Benchmarking compound activity prediction for real-world drug discovery applications
Identifying active compounds for target proteins is fundamental in early drug discovery. Recently, data-driven computational methods have...
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Real-World Evidence: A Primer
Real-world evidence (RWE) is clinical evidence on a medical product’s safety and efficacy that is generated using real-world data (RWD) resulting...
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Temporal discounting predicts procrastination in the real world
People procrastinate, but why? One long-standing hypothesis is that temporal discounting drives procrastination: in a task with a distant future...
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Two-subnet network for real-world image denoising
Previous researches in synthetic noise image denoising have performed well. However, while these methods remove real-world noise, they result in loss...
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Benchmarking and Analysis of Unsupervised Object Segmentation from Real-World Single Images
In this paper, we study the problem of unsupervised object segmentation from single images. We do not introduce a new algorithm, but systematically...
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Die Anwendung von Real-world-Evidenz in Entscheidungsprozessen der Arzneimittelregulation
Drug regulation is a system to support and protect public health. Drugs with market access must be effective, safe and of high quality. Therefore,...
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Empowering citizens for the energy transition: facilitating role change through real-world experiments
Empowering citizens to take on new, more active roles is a central element in a successful energy transition. Yet, models that allow direct...
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Mobile cognition: imaging the human brain in the ‘real world’
Cognitive neuroscience studies in humans have enabled decades of impactful discoveries but have primarily been limited to recording the brain...