Results 121 to 130 of about 176,114 (284)

Attribute based privacy impact assessment method for the protection of personal data [PDF]

open access: yes, 2017
Personal data is sensitive information asset primarily needed to be protected. In order to protect personal data, privacy-protected rules, designs, guidelines, and legal arrangements have been developed so far.
TAKCI, HİDAYET, CANBAY, PELİN
core  

PRIDA-ME: A Privacy-Preserving, Interoperable and Decentralized Authentication Scheme for Metaverse Environment

open access: yesIEEE Open Journal of the Communications Society
The metaverse is a new virtual world that has the potential to significantly impact our interactions with digital content and with each other. It is a shared virtual environment where users can seamlessly and with immersive experiences create, interact ...
Mehmood Ul Hassan   +4 more
doaj   +1 more source

Developing a Structured Metric to Measure Privacy Risk in Privacy Impact Assessments

open access: yes, 2016
Today’s IT applications involving the processing of personal data of customers are becoming increasingly complex. This complexity drives the probability of privacy breaches. Considerable damage to a company’s reputation and financial standing may ensue.
openaire   +2 more sources

Characterizing Cutaneous α‐Synuclein Deposition and Seeding Activity in Parkinson's Disease Subtypes

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cutaneous phosphorylated α‐synuclein (p‐syn) and α‐synuclein seeding activity are promising biomarkers for Parkinson's disease (PD), but their clinical value remains uncertain due to disease heterogeneity. This study evaluates these two biomarkers in PD patients to inform phenotype‐specific diagnosis and disease severity assessment ...
Yuting Jin   +8 more
wiley   +1 more source

Waiving the consent requirement to mitigate bias in observational precision medicine research

open access: yesInternational Journal for Equity in Health
Consent bias is a type of selection bias in biomedical research where those consenting to the research differ systematically from those not consenting.
Ruifeng Song
doaj   +1 more source

Quantitative MRI Uncovers Subtle Cortical Damage in Myelin Oligodendrocyte Glycoprotein Antibody‐Associated Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether myelin‐sensitive quantitative MRI reveals microstructural abnormalities in normal‐appearing cortex (NACtx) in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), indicating that conventional MRI underestimates remission residual cortical injury.
Valentina Camera   +20 more
wiley   +1 more source

Baseline Neuroinflammation Stratifies TSPO‐PET Response to Disease‐Modifying Therapy in Multiple Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate which baseline clinical and imaging characteristics best predict TSPO‐PET‐measurable reduction in glial activation following treatment of multiple sclerosis (MS), to utilize this information for designing more efficient biomarker‐based clinical trials targeting glial activation.
Marlene T. Morch   +5 more
wiley   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif   +17 more
wiley   +1 more source

EKSISTENZ D9.5 Core elements of a Privacy Impact Assessment of the EKSISTENZ platform [PDF]

open access: yes, 2017
The objective of this deliverable is to provide guidance to data controllers who will consider EKSISTENZ in a production environment in assessing the impact of the system on citizens’ privacy.
Emanuilov, Ivo
core  

Privacy impact self-assessment app

open access: yes, 2020
The popularity of the Android OS has led to the development of millions of applications. The assumption of the majority of the Android user base is that these applications are trustworthy and that the Android system does enough to protect them from the untrustworthy applications.
Toresson, Ludwig   +2 more
openaire   +1 more source

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