scholarly journals Towards standardization guidelines for in silico approaches in personalized medicine

2020 ◽  
Vol 17 (2-3) ◽  
Author(s):  
Søren Brunak ◽  
Catherine Bjerre Collin ◽  
Katharina Eva Ó Cathaoir ◽  
Martin Golebiewski ◽  
Marc Kirschner ◽  
...  
Keyword(s):  
Personalized Medicine ◽  
Data Integration ◽  
In Silico ◽  
Ethical Issues ◽  
Full Potential ◽  
Consultation Process ◽  
Stakeholder Consultation ◽  
Technological Advances ◽  
The Status ◽  
Modelling Approaches

AbstractDespite the ever-progressing technological advances in producing data in health and clinical research, the generation of new knowledge for medical benefits through advanced analytics still lags behind its full potential. Reasons for this obstacle are the inherent heterogeneity of data sources and the lack of broadly accepted standards. Further hurdles are associated with legal and ethical issues surrounding the use of personal/patient data across disciplines and borders. Consequently, there is a need for broadly applicable standards compliant with legal and ethical regulations that allow interpretation of heterogeneous health data through in silico methodologies to advance personalized medicine. To tackle these standardization challenges, the Horizon2020 Coordinating and Support Action EU-STANDS4PM initiated an EU-wide mapping process to evaluate strategies for data integration and data-driven in silico modelling approaches to develop standards, recommendations and guidelines for personalized medicine. A first step towards this goal is a broad stakeholder consultation process initiated by an EU-STANDS4PM workshop at the annual COMBINE meeting (COMBINE 2019 workshop report in same issue). This forum analysed the status quo of data and model standards and reflected on possibilities as well as challenges for cross-domain data integration to facilitate in silico modelling approaches for personalized medicine.

scholarly journals Revisión actual del contexto legal y ético de la experimentación con embriones humanos

Bioderecho.es ◽  
2021 ◽  
Author(s):  
Juan José Guerrero Franco ◽  
Antonio Hernández López ◽  
Alicia Guardiola Cutillas ◽  
Miriam Guzmán Almansa
Keyword(s):  
Ethical Issues ◽  
Comparative Law ◽  
Current Situation ◽  
Point Of View ◽  
Human Embryos ◽  
International Consensus ◽  
Technological Advances ◽  
The Status ◽  
Chimeric Cell

En este estudio se pretende hacer una revisión de la situación actual de la experimentación con embriones humanos. El derecho comparativo entre distintos países revela tres posturas legislativas principales: permisiva, restrictiva y prohibitiva. En cuanto a las influencias, se comenta el estatuto del embrión desde el punto de visto religioso y sociopolítico. Además, se abordan problemas éticos y dilemas actuales asociados, comenzando con el famoso Caso Brüstle y culminando con los últimos estudios de células quiméricas. La disparidad de posiciones legales y sociales, junto con los nuevos avances tecnológicos, deja en evidencia la necesidad de un consenso internacional que marque los límites de los ensayos con embriones y aclare la identidad del estatuto del embrión. This study is aimed to review the current situation regarding experimentation with human embryos. Comparative law among different countries reveals three main legislative positions: permissive, restrictive and prohibitive. In regard to influences, the status of the embryo is discussed from the religious and sociopolitical point of view. In addition, ethical issues and current dilemmas associated are broached, beginning with the famous Brüstle Case and culminating with the latest chimeric cell studies. The disparity of legal and social positions, together with new technological advances, highlights the need for an international consensus that defines the limits of embryo testing and clarifies the identity of the status of the embryo.

Unique views on obesity-related behaviors and environments: research using still and video images (Preprint)

2018 ◽  
Author(s):  
Jordan Carlson ◽  
J. Aaron Hipp ◽  
Jacqueline Kerr ◽  
Todd Horowitz ◽  
David Berrigan
Keyword(s):  
Physical Activity ◽  
Ethical Issues ◽  
Data Extraction ◽  
Dietary Assessment ◽  
Extraction Methods ◽  
Image Capture ◽  
Still Images ◽  
Key Informants ◽  
Technological Advances ◽  
Computer Scientists

BACKGROUND Image based data collection for obesity research is in its infancy. OBJECTIVE The present study aimed to document challenges to and benefits from such research by capturing examples of research involving the use of images to assess physical activity- or nutrition-related behaviors and/or environments. METHODS Researchers (i.e., key informants) using image capture in their research were identified through knowledge and networks of the authors of this paper and through literature search. Twenty-nine key informants completed a survey covering the type of research, source of images, and challenges and benefits experienced, developed specifically for this study. RESULTS Most respondents used still images in their research, with only 26.7% using video. Image sources were categorized as participant generated (N = 13; e.g., participants using smartphones for dietary assessment), researcher generated (N = 10; e.g., wearable cameras with automatic image capture), or curated from third parties (N = 7; e.g., Google Street View). Two of the major challenges that emerged included the need for automated processing of large datasets (58.8%) and participant recruitment/compliance (41.2%). Benefit-related themes included greater perspectives on obesity with increased data coverage (34.6%) and improved accuracy of behavior and environment assessment (34.6%). CONCLUSIONS Technological advances will support the increased use of images in the assessment of physical activity, nutrition behaviors, and environments. To advance this area of research, more effective collaborations are needed between health and computer scientists. In particular development of automated data extraction methods for diverse aspects of behavior, environment, and food characteristics are needed. Additionally, progress in standards for addressing ethical issues related to image capture for research purposes are critical. CLINICALTRIAL NA

scholarly journals Cultural bias in motor function patterns: Potential relevance for predictive, preventive, and personalized medicine

2021 ◽  
Author(s):  
Karen Otte ◽  
Tobias Ellermeyer ◽  
Masahide Suzuki ◽  
Hanna M. Röhling ◽  
Ryota Kuroiwa ◽  
...  
Keyword(s):  
Personalized Medicine ◽  
Motor Function ◽  
Motor Performance ◽  
Body Height ◽  
Healthy Adults ◽  
Cultural Bias ◽  
Full Potential ◽  
Japanese Adults ◽  
Body Stature ◽  
Motion Assessment

Abstract Background Quantification of motor performance has a promising role in personalized medicine by diagnosing and monitoring, e.g. neurodegenerative diseases or health problems related to aging. New motion assessment technologies can evolve into patient-centered eHealth applications on a global scale to support personalized healthcare as well as treatment of disease. However, uncertainty remains on the limits of generalizability of such data, which is relevant specifically for preventive or predictive applications, using normative datasets to screen for incipient disease manifestations or indicators of individual risks. Objective This study explored differences between healthy German and Japanese adults in the performance of a short set of six motor tests. Methods Six motor tasks related to gait and balance were recorded with a validated 3D camera system. Twenty-five healthy adults from Chiba, Japan, participated in this study and were matched for age, sex, and BMI to a sample of 25 healthy adults from Berlin, Germany. Recordings used the same technical setup and standard instructions and were supervised by the same experienced operator. Differences in motor performance were analyzed using multiple linear regressions models, adjusted for differences in body stature. Results From 23 presented parameters, five showed group-related differences after adjustment for height and weight (R2 between .19 and .46, p<.05). Japanese adults transitioned faster between sitting and standing and used a smaller range of hand motion. In stepping-in-place, cadence was similar in both groups, but Japanese adults showed higher knee movement amplitudes. Body height was identified as relevant confounder (standardized beta >.5) for performance of short comfortable and maximum speed walks. For results of posturography, regression models did not reveal effects of group or body stature. Conclusions Our results support the existence of a population-specific bias in motor function patterns in young healthy adults. This needs to be considered when motor function is assessed and used for clinical decisions, especially for personalized predictive and preventive medical purposes. The bias affected only the performance of specific items and parameters and is not fully explained by population-specific ethnic differences in body stature. It may be partially explained as cultural bias related to motor habits. Observed effects were small but are expected to be larger in a non-controlled cross-cultural application of motion assessment technologies with relevance for related algorithms that are being developed and used for data processing. In sum, the interpretation of individual data should be related to appropriate population-specific or even better personalized normative values to yield its full potential and avoid misinterpretation.

SiC Semiconductor Applications - An Air Force Perspective

1996 ◽  
Vol 423 ◽  
Author(s):  
L. S. Rea
Keyword(s):  
Air Force ◽  
Device Performance ◽  
Full Potential ◽  
Materials Development ◽  
Device Development ◽  
Performance Requirements ◽  
Wide Range ◽  
The Status ◽  
Performance Results ◽  
High Temperature Electronic

AbstractThe Department of Defense (DoD) is investing in the development of Silicon Carbide (SiC) for a wide range of applications. Over the past year, SiC technology has demonstrated excellent device performance results for power devices, high temperature electronic devices and microwave devices. The materials growth and processing technology for SiC is now at a level of sufficient maturity to support substantial device development efforts. While there is still considerable materials and device research required for SiC to achieve it's full potential, the fundamental technology has been proven for several critical applications. A perspective on some Air Force device performance requirements will be presented. The status of SiC materials development, material limits to advances in device performance and issues relating to supporting technology will also be discussed.

scholarly journals An integrated dataset for in silico drug discovery

2010 ◽  
Vol 7 (3) ◽  
Author(s):  
Simon J Cockell ◽  
Jochen Weile ◽  
Phillip Lord ◽  
Claire Wipat ◽  
Dmytro Andriychenko ◽  
...  
Keyword(s):  
Systems Biology ◽  
Drug Discovery ◽  
Drug Development ◽  
Data Integration ◽  
In Silico ◽  
Drug Repositioning ◽  
Integrated Systems ◽  
Integration Platform ◽  
Treatment Indications ◽  
New Treatment

SummaryDrug development is expensive and prone to failure. It is potentially much less risky and expensive to reuse a drug developed for one condition for treating a second disease, than it is to develop an entirely new compound. Systematic approaches to drug repositioning are needed to increase throughput and find candidates more reliably. Here we address this need with an integrated systems biology dataset, developed using the Ondex data integration platform, for the in silico discovery of new drug repositioning candidates. We demonstrate that the information in this dataset allows known repositioning examples to be discovered. We also propose a means of automating the search for new treatment indications of existing compounds.

scholarly journals Ethical issues on artificial intelligence in radiology: how is it reported in research articles? The current state and future directions

2021 ◽  
Vol 90 (2) ◽  
pp. e513
Author(s):  
Tomasz Piotrowski ◽  
Joanna Kazmierska ◽  
Mirosława Mocydlarz-Adamcewicz ◽  
Adam Ryczkowski
Keyword(s):  
Artificial Intelligence ◽  
Ethical Issues ◽  
Real Life ◽  
Exclusion Criteria ◽  
Future Directions ◽  
Current State ◽  
Ethical Status ◽  
The Status ◽  
Clinical Questions ◽  
Almost All

Background. This paper evaluates the status of reporting information related to the usage and ethical issues of artificial intelligence (AI) procedures in clinical trial (CT) papers focussed on radiology issues as well as other (non-trial) original radiology articles (OA). Material and Methods. The evaluation was performed by three independent observers who were, respectively physicist, physician and computer scientist. The analysis was performed for two groups of publications, i.e., for CT and OA. Each group included 30 papers published from 2018 to 2020, published before guidelines proposed by Liu et al. (Nat Med. 2020; 26:1364-1374). The set of items used to catalogue and to verify the ethical status of the AI reporting was developed using the above-mentioned guidelines. Results. Most of the reviewed studies, clearly stated their use of AI methods and more importantly, almost all tried to address relevant clinical questions. Although in most of the studies, patient inclusion and exclusion criteria were presented, the widespread lack of rigorous descriptions of the study design apart from a detailed explanation of the AI approach itself is noticeable. Few of the chosen studies provided information about anonymization of data and the process of secure data sharing. Only a few studies explore the patterns of incorrect predictions by the proposed AI tools and their possible reasons. Conclusion. Results of review support idea of implementation of uniform guidelines for designing and reporting studies with use of AI tools. Such guidelines help to design robust, transparent and reproducible tools for use in real life.

scholarly journals Ethical Issues in Global Supply Chains

2007 ◽  
Author(s):  
Bodo B. Schlegelmilch ◽  
Magdalena Öberseder
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Working Conditions ◽  
Ethical Issues ◽  
Low Cost ◽  
Global Supply Chains ◽  
Unethical Conduct ◽  
Production Methods ◽  
Technological Advances ◽  
Consumer Demands

Despite all technological advances, global supply chains are always based on the interaction of people. And wherever people interact, a kaleidoscope of ethical issues emerges. While consumer demands and concerns have undoubtedly led to an increased awareness of unethical conduct in the supply chain, contravening forces, such as the relentless pressures for low cost products and the ease by which consumers are purchasing non-deceptive counterfeits, should also not be ignored. Many retailers are now embracing ethical issues by emphasising, for example, that they take care of the production methods and working conditions pertaining to the goods they offer.

scholarly journals Pharmacogenomics- The Promise of Personalized Medicine

2013 ◽  
Vol 12 (4) ◽  
pp. 346-356 ◽  
Author(s):  
M Fakruddin ◽  
A Chowdhury
Keyword(s):  
Side Effects ◽  
Personalized Medicine ◽  
Development Process ◽  
Genetic Basis ◽  
Ethical Issues ◽  
Medical Science ◽  
Medical Community ◽  
Pharmaceutical Companies ◽  
Current Therapies ◽  
Genetic Makeup

Introduction: Pharmacogenomics (PGx) is the study of the genetic basis of variability among individuals in response to drugs. It is the newest discipline of medicine and is becoming a very active area of research, with the pharmaceutical industry gaining experience applying it, integrating it into the drug development process, and also learning to better manage the expectations of the medical community. Methodology: A comprehensive review of the literature on the principles, applications, challenges and prospects of pharmacogenomics was performed. Results: Pharmacogenomics tailors therapies to the genetic makeup of an individual and can therefore offer treatments that are more efficacious and have fewer side effects. Despite these benefits, personalized medicine has not been embraced by large pharmaceutical companies. It is expected that the first wave of successful pharmacogenomics products will be used in acute treatments for which current therapies have and severe side effects. These products should also be good candidates for premium pricing. Personalized medicine (PM), based on the genetic makeup of a patient, may result in not only an improved therapeutic response but also a clinically important reduction in adverse drug reactions. The experience to date is mixed, with a few successes but many frustrations. Conclusion: However, for pharmacogenomics to be truly embraced, the benefits of this technology must become more widely accepted in terms of economic, public, regulatory and ethical issues. DOI: http://dx.doi.org/10.3329/bjms.v12i4.11041 Bangladesh Journal of Medical Science Vol. 12 No. 04 October ’13 Page 346-356

Power Neighboring Interval Matching Based PMC Integration

2016 ◽  
Vol 25 (08) ◽  
pp. 1650086
Author(s):  
Yuelong Li ◽  
Jigang Wu ◽  
Yawen Chen ◽  
Jason Mair ◽  
David Eyers ◽  
...  
Keyword(s):  
Data Integration ◽  
Power Consumption ◽  
Power Dissipation ◽  
System Performance ◽  
Performance Monitoring ◽  
Power Estimation ◽  
Raw Data ◽  
Integration Approach ◽  
Common Task ◽  
The Status

Performance monitoring counters (PMCs) are of great value to monitor the status of processors and their further analysis and modeling. In this paper, we explore a novel problem called PMC integration, i.e., how to combine a group of PMCs which are collected asynchronously together. It is well known that, due to hardware constraints, the number of PMCs that can be measured concurrently is strictly limited. It means we cannot directly acquire all the phenomenon features that are related with the system performance. Clearly, this source raw data shortage is extremely frustrating to PMCs based analysis and modeling tasks, such as PMCs based power estimation. To deal with this problem, we introduce a neighboring interval power values based PMC data integration approach. Based on the activity similarity of easily collected power dissipation values, the proposed approach can automatically combine distinct categories of PMC data together and hence realize the recovery of intact raw PMC data. In addition, the significance and effectiveness of the proposed approach are experimentally verified on a common task, the PMCs based power consumption modeling.

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