22 papers · ranked by Valyu relevance
Gunther Eysenbach, Kenneth Mandl, Rob Halkes, Luis Fernandez-Luque + 2 more
'Randi Karlsen' 'Jason Bonander'] In recent years the Web has come into its own as a social platform where health consumers are actively creating and consuming Web content. Moreover, as the Web matures, consumers are gaining access to personalized applications adapted to their health needs and interests. The creation…
Travis Greene, Galit Shmueli
Though used extensively, the concept and process of machine learning (ML) personalization have generally received little attention from academics, practitioners, and the general public. We describe the ML approach as relying on the metaphor of the person as a feature vector and contrast this with humanistic views of…
Harri Oinas-Kukkonen, Sami Pohjolainen, Eunice Agyei
A common but false perception persists about the level and type of personalization in the offerings of contemporary software, information systems, and services, known as Personalization Myopia: this involves a tendency for researchers to think that there are many more personalized services than there genuinely are, for…
Iris ten Klooster, Hanneke Kip, Lisette van Gemert-Pijnen, Rik Crutzen + 1 more
'Rik Crutzen' 'Saskia Kelders'] Title: Summary Despite the widespread use of personalization of eHealth technologies, there is a lack of comprehensive understanding regarding its application. This systematic review aims to bridge this gap by identifying and clustering different personalization approaches based on the…
Saida Aissi, Mohamed Salah Gouider
Geographic Information Systems (GIS) are widely used in different domains of applications, such as maritime navigation, museums visits and route planning, as well as ecological, demographical and economical applications. Nowadays, organizations need sophisticated and adapted GIS-based Decision Support System (DSS) to…
Anya Shchetkina, Ron Berman
∗ Research reported in this paper was made possible by Flu Lab, the Social Science Research Council's Mercury Project (with funding from the Rockefeller Foundation, the Robert Wood Johnson Foundation, Craig Newmark Philanthropies, and the Alfred P. Sloan Foundation). Ron Berman acknowledges support from the Wharton…
Julius Alexander Steffen, Jan Simon Steffen
Personalized medicine can be seen as a continuously developing approach to tailoring treatments according to the individual characteristics of a patient. In some way, medicine has always been personalized. During the last decade, however, scientific and technological progress have made truly personalized healthcare…
Lotfi Chouchane, Ravinder Mamtani, Ashraf Dallol, Javaid I Sheikh
An editorial about personalized medicine should perhaps start with a definition. Although several versions of such definition exist, we pay homage here to the oldest definition reported in modern medical literature. Sir William Osler (1849-1919) recognized that "variability is the law of life, and as no two faces are…
Urs A. Meyer
A new vision of personalized medicine or personalized healthcare has evolved as a consequence of remarkable recent advances in technologies that allow to look at individual variation across the entire human genome and to identify personal risk factors behind many diseases and responses to therapy. These advances have…
Camille Abettan, Jos V. M. Welie
Background Over the past decade, the exponential growth of the literature devoted to personalized medicine has been paralleled by an ever louder chorus of epistemic and ethical criticisms. Their differences notwithstanding, both advocates and critics share an outdated philosophical understanding of the concept of…
C.V. Hammond, S.T. Williams, M.M. Vega, D. Ao + 7 more
Neuromusculoskeletal injuries including osteoarthritis, stroke, spinal cord injury, and traumatic brain injury affect roughly 19% of the U.S. adult population. Standardized interventions have produced suboptimal functional outcomes due to the unique treatment needs of each patient. Strides have been made to utilize…
Rym Khemiri, Fadila Bentayeb
Data warehousing is an essential element of decision support systems. It aims at enabling the user knowledge to make better and faster daily business decisions. To improve this decision support system and to give more and more relevant information to the user, the need to integrate user's profiles into the data…
Eduardo Vicente-López, Luis M. de Campos, Juan M. Fernández‐Luna, Juan F. Huete
'Juan F. Huete'] Abstract Personalization generally improves the performance of queries but in a few cases it may also harms it. If we are able to predict and therefore to disable personalization for those situations, the overall performance will be higher and users will be more satisfied with personalized systems. We…
Michal Gabay, Tom Schonberg
Usage of Virtual reality (VR) has been growing in many fields of research and therapy thanks to its immersive and gamified nature. Detection of the subjective experience of the users is thus essential for effective personalization of content. Eye-tracking (ET) data and specifically gaze, in two-dimensional tasks has…
Claire V. Hammond, Heath B. Henninger, Benjamin J. Fregly, Jonathan A. Gustafson
The shoulder joint complex is prone to musculoskeletal issues, such as rotator cuff-related pain, which affect two-thirds of adults and often result in suboptimal treatment outcomes. Current musculoskeletal models used to understand shoulder biomechanics are limited by challenges in personalization, inaccuracies in…
Xiaogai Li
Finite element (FE) head models have emerged as a powerful tool in many fields within neuroscience, especially for studying the biomechanics of traumatic brain injury (TBI). Personalized head models are needed to account for geometric variations among subjects for more reliable predictions. However, the generation of…
Janne J. Luppi, Annel P. Koomen, Cornelis J. Stam, Philip Scheltens + 1 more
Transcranial direct current stimulation (tDCS) is being investigated as a clinical intervention in Alzheimer’s disease (AD) with the goal of reducing its neurophysiological effects (i.e. oscillatory slowing and loss of functional connectivity). However, progress is hampered by variable outcomes across studies, likely…
Wei-Feng Guo, Shao-Wu Zhang, Tao Zeng, Luonan Chen
Treating cancer in precision medicine, it is important to identify the personalized combinational drugs under consideration of the individual heterogeneity. Many bioinformatics tools for the personalized driver genes identification have presented promising clues in determining candidate personalized drug targets for…
Chia-Wei Hsu, Terra Williams, Xiang Yu
3D printing has been applied to multiple areas since 1980. Biomedical applications have grown significantly and become the mainstream of 3D printing applications. In this review, we elucidated the publication distribution of biomedical 3D printing using the CAS Content Collection. From 2010 to 2021, journal and patent…
Authors not listed
Despite $100 billion in investment and more than 100,000 publications, nanomedicine translation fails primarily at biological validation, not at synthesis or characterization. We present the first systematic technology readiness assessment across autonomous nanomedicine components, revealing a critical finding: while…
vittorio saggiomo
Although 3D printers are becoming more common in households, they are still underrepresented in many laboratories worldwide and regarded as toys rather than as laboratory equipment. This short review wants to change this conservative point of view. This mini-review focuses on Fused Deposition Modeling (FDM) printers…
Authors not listed
This conceptual framework proposes an out-of-the-box approach to innovate non-biological drugs that surpass biologics by 200-fold in efficacy and safety for cancer treatment. Integrating advanced paradigms from physics, chemistry, medicine, biology, engineering, and materials science, we delineate a multi-dimensional…