The following correspondence provides an overview of TV White Space (TVWS) technology, regulations, and potential applications to the health care sector. This report also introduces "Project Kgolagano," a Botswana-based initiative representing the first endeavour to utilize TVWS internet connection for practising telemedicine. TV "white space" refers to the previously unused, wasted spectrum within TV radiofrequency channels that can now be leveraged to obtain broadband internet access. TVWS represents a less costly, faster, and farther-reaching internet connection that is a promising option for connecting the previously unconnected populations of remote and underserved areas. The Botswana-University of Pennsylvania Partnership, Microsoft, Botswana Innovation Hub, Vista Life Sciences, and Global Broadband Solutions have partnered together to bring TVWS wireless broadband access to healthcare facilities in poorly connected regions of Botswana (Lobatse, Francistown, Maun, Gaborone) in order to improve healthcare delivery and facilitate telemedicine in dermatology, cervical cancer screening, and family medicine (HIV/AIDS, TB, general adult and pediatric medicine).
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1177/1357633X15595324 | DOI Listing |
Phys Rev Lett
December 2024
Institute of Physics, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
JMIR Hum Factors
December 2024
Center for Bioethics, Indiana University School of Medicine, Indianapolis, IN, United States.
Background: The rarity that is inherent in rare disease (RD) often means that patients and parents of children with RDs feel uniquely isolated and therefore are unprepared or unsupported in their care. To overcome this isolation, many within the RD community turn to the internet, and social media groups in particular, to gather useful information about their RDs. While previous research has shown that social media support groups are helpful for those affected by RDs, it is unclear what these groups are particularly useful or helpful for patients and parents of children with RDs.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
The UC Irvine Institute for Memory Impairments and Neurological Disorders (UCI MIND), Irvine, CA, USA.
Background: Individuals with Down syndrome (DS) have an increased genetic risk of developing Alzheimer's disease (AD), with most adults developing AD neuropathology in their 40s. Despite having a low frequency of systemic vascular risk factors such as hypertension and atherosclerosis, adults with DS display cerebrovascular pathology, including microbleeds, microinfarcts, and cerebral amyloid angiopathy. This suggests that blood-brain barrier (BBB) integrity may be compromised allowing the extravasation of blood proteins in the brain parenchyma.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Background: In-vivo magnetic resonance imaging (MRI) has recently shown that patients with clinically diagnosed Alzheimer's disease (AD) and dementia with Lewy bodies (DLB) exhibit degeneration of the cholinergic nucleus basalis of Meynert and its white matter (WM) projections through the cingulum and external capsule pathways. Here, we propose an imaging-pathologic validation study aimed at investigating cholinergic WM pathways using post-mortem MRI of autopsy-confirmed AD, Lewy body dementia (LBD), and other neurodegenerative diseases (OTH).
Method: We included 53 brain donors (34 AD, 10 LBD, and 9 OTH, mainly including frontotemporal lobe degeneration and vascular disease, Table 1).
Background: The aging and dementia field has long been interested in understanding disease heterogeneity, subtypes, and progression. Work has progressed from clinical, to neuroimaging to biomedical devices to neuropathological data, and now brain and blood omic data.
Method: The AMP-AD consortium generated and/or annotated genomic, epigenomic, transcriptomic, proteomic, and metabolomic data from brain and/or blood from thousands of study participants and patients across the 8 teams.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!