Results 291 to 300 of about 18,544,591 (363)

For insights into the real world, consider real-world data

Science Translational Medicine, 2022
Randomized control trials (RCTs) are required before drug and device approvals and have contributed to patient safety, but they have also increased the cost and time of regulatory assessments. We propose that using real-world evidence to complement or, in some settings, to replace RCTs will accelerate delivery of new drugs to patients.
Sana Raoof, Razelle Kurzrock
openaire   +2 more sources

Exploiting Diffusion Prior for Real-World Image Super-Resolution

International Journal of Computer Vision, 2023
We present a novel approach to leverage prior knowledge encapsulated in pre-trained text-to-image diffusion models for blind super-resolution. Specifically, by employing our time-aware encoder, we can achieve promising restoration results without ...
Jianyi Wang, Zongsheng Yue, Shangchen Zhou, Kelvin C. K. Chan, Chen Change Loy   +4 more
semanticscholar   +1 more source

Learning in the “Real World”

Machine Learning, 1998
In this paper we define and characterize the process of developing a “real-world” Machine Learning application, with its difficulties and relevant issues, distinguishing it from the popular practice of exploiting ready-to-use data sets. To this aim, we analyze and summarize the lessons learned from applying Machine Learning techniques to a variety of ...
L. Saitta, NERI, FILIPPO
openaire   +2 more sources

Real-World Evidence in the Real World: Beyond the FDA

American Journal of Law & Medicine, 2018
The 21st Century Cures Act (“Cures Act”) relies on the concept of real-world evidence (“RWE”) to improve the Food and Drug Administration (“FDA”) approval process. This has amplified interest and furthered momentum in applying RWE more broadly, beyond FDA regulation.
Joan H, Krause, Richard S, Saver
openaire   +2 more sources

Delirium care: Real‐world solutions to real‐world problems

Australasian Journal on Ageing, 2017
ObjectivesImplementation research into delirium care is lacking. Exploiting known practice barriers to understand what management strategies work best in delirium is a means of prioritising care interventions. A consensus approach to determining priority interventions in delirium was derived and related to reference standards in health‐care practice ...
Eamonn Eeles, Judy McCrow, Andrew Teodorczuk, Gideon A Caplan   +3 more
openaire   +5 more sources

Underrepresentation in the Real World

Science and Engineering Ethics, 2009
In ‘‘Is Diversity Good? Six Possible Conceptions of Diversity and Six Possible Answers’’ [1], Bouville attempts to distinguish the use of ‘‘diversity’’ as a ‘‘political weapon’’ rather than a ‘‘rational concept.’’ Yet, concepts are neither rational nor irrational, and are used as political weapons all the time.
openaire   +2 more sources

Real world teleconferencing

CHI '99 extended abstracts on Human factors in computing systems - CHI '99, 1999
We describe a prototype Augmented Reality conferencing application which uses the overlay of virtual images on the real world to facilitate computer supported collaborative work. Remote collaborators are represented as live video images or virtual avatars which are attached to tangible objects that can be freely positioned about a user in space.
Mark Billinghurst, Hirokazu Kato 0001
openaire   +1 more source

Real-world evidence

Recenti Progressi in Medicina, 2017
Le evidenze derivate dal mondo reale, basate su database elettronici sanitari, registri di malattia o di prodotto e studi osservazionali, sono fra i temi più discussi nell’ambito dei congressi medici. Al fine di facilitare l’approvazione di nuove terapie e di nuovi dispositivi, le evidenze dal mondo reale si rivelano un utile strumento a supporto dei ...
Luca, De Fiore, Antonio, Addis
openaire   +2 more sources

Segment Anything Is Not Always Perfect: An Investigation of SAM on Different Real-world Applications

Machine Intelligence Research, 2023
Recently, Meta AI Research approaches a general, promptable segment anything model (SAM) pre-trained on an unprecedentedly large segmentation dataset (SA-1B).
Wei Ji, Jingjing Li, Qi Bi, Wenbo Li, Li Cheng   +4 more
semanticscholar   +1 more source