Results 21 to 30 of about 6,061,294 (414)
Evaluating eligibility criteria of oncology trials using real-world data and AI
Nature, 2021 There is a growing focus on making clinical trials more inclusive but the design of trial eligibility criteria remains challenging1–3. Here we systematically evaluate the effect of different eligibility criteria on cancer trial populations and outcomes ...
Ruishan Liu +10 more
semanticscholar +1 more source
BMC Musculoskeletal Disorders, 2022 Background Multiplanar external fixation systems that employ software-assisted deformity correction consist of rings connected by angled struts, defined as hexapod ring fixators (HRF).
J. Spence Reid +5 more
doaj +1 more source
Journal of clinical pharmacology, 2022 Rare diseases represent a highly heterogeneous group of disorders with high phenotypic and genotypic diversity within individual conditions. Due to the small numbers of people affected, there are unique challenges in understanding rare diseases and drug ...
Jing Liu +6 more
semanticscholar +1 more source
RMD Open, 2023 Objectives To identify risk factors for progression to severe COVID-19 and estimate the odds of severe COVID-19 associated with vaccination among patients with systemic lupus erythematosus (SLE).Methods This retrospective cohort study identified adults ...
Cassandra Calabrese +5 more
doaj +1 more source
High-throughput target trial emulation for Alzheimer’s disease drug repurposing with real-world data
Nature Communications, 2023 Target trial emulation is the process of mimicking target randomized trials using real-world data, where effective confounding control for unbiased treatment effect estimation remains a main challenge.
Chengxi Zang +12 more
semanticscholar +1 more source
Nature Cancer, 2023 Despite advances in precision oncology, clinical decision-making still relies on limited variables and expert knowledge. To address this limitation, we combined multimodal real-world data and explainable artificial intelligence (xAI) to introduce AI ...
Julius Keyl +37 more
semanticscholar +1 more source
What prevents us from reusing medical real-world data in research
Scientific Data, 2023 Medical real-world data stored in clinical systems represents a valuable knowledge source for medical research, but its usage is still challenged by various technical and cultural aspects.
Julia Gehrmann +3 more
semanticscholar +1 more source
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data [PDF]
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021 Though many attempts have been made in blind super-resolution to restore low-resolution images with unknown and complex degradations, they are still far from addressing general real-world degraded images.
Xintao Wang +3 more
semanticscholar +1 more source
Current status and challenges in establishing reference intervals based on real-world data
Critical reviews in clinical laboratory sciences, 2023 Reference intervals (RIs) are the cornerstone for evaluation of test results in clinical practice and are invaluable in judging patient health and making clinical decisions.
Sijia Ma +3 more
semanticscholar +1 more source
refineR: A Novel Algorithm for Reference Interval Estimation from Real-World Data
Scientific Reports, 2021 Reference intervals are essential for the interpretation of laboratory test results in medicine. We propose a novel indirect approach to estimate reference intervals from real-world data as an alternative to direct methods, which require samples from ...
T. Ammer +5 more
semanticscholar +1 more source