With advancements in electronics and health informatics, telemedicine has emerged as a cost-effective tool capable of increasing care to remote regions, facilitating specialist consults, supporting self-management by patients, and sharing knowledge over great distances. In this review, the authors discuss existing telemedicine modalities, highlight examples of mobile systems documented in the literature to date, and emphasize the data supporting the feasibility of telecommunication technologies to deliver dermatology services and education remotely. While many studies have suggested the potential for teledermatology to increase access to care in developing countries with few dermatologists, the authors share some of the most recent developments, including the use of diagnostic decision support software. The authors encourage a thriving and open network that will enhance the ongoing research and development of innovative and useful products. This network will also connect dermatologists willing to volunteer their consultation to health care workers in remote areas lacking specialists.
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Inflamm Res
January 2025
Department of Orthopedics and Traumatology, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan Province, China.
Background: One of the etiologic components of degenerative spinal illnesses is intervertebral disc degeneration (IVDD), and the accompanying lower back pain is progressively turning into a significant public health problem. Important pathologic characteristics of IVDD include inflammation and acidic microenvironment, albeit it is unclear how these factors contribute to the disease.
Purpose: To clarify the functions of inflammation and the acidic environment in IVDD, identify the critical connections facilitating glycolytic crosstalk and nucleus pulposus cells (NPCs) pyroptosis, and offer novel approaches to IVDD prevention and therapy.
Nat Commun
January 2025
Lawrence Berkeley National Laboratory, 1 Cyclotron Rd., Berkeley, CA, USA.
The United States federal government has invested $7.5 billion into charging infrastructure, including the National Electric Vehicle Infrastructure Program, to build fast charging stations along designated highways for long-distance car travel. We develop a consecutive coverage metric to compute the percent of United States roads (traffic-weighted) that are consecutively accessible within 500 miles of each county.
View Article and Find Full Text PDFJ Subst Use Addict Treat
January 2025
Department of Family Medicine, University of Washington, United States of America.
Background: Unhealthy substance use (USU) is common and ranges from use above guideline-recommended levels to severe substance use disorder. USU results in substantial morbidity and mortality yet primary care practices rarely systematically screen, diagnose, and treat USU. Supporting Unhealthy Substance use care Through a whole person Approach and user centered INtegration into primary care (SUSTAIN) tests whether the implementation of a co-designed change package for USU improves patient function.
View Article and Find Full Text PDFNeuroimage
January 2025
Center for Mind/Brain Sciences (CIMeC), University of Trento, 38068, Rovereto, (TN), Italy.
Transcranial magnetic stimulation (TMS) has the potential to yield insights into cortical functions and improve the treatment of neurological and psychiatric conditions. However, its reliability is hindered by a low reproducibility of results. Among other factors, such low reproducibility is due to structural and functional variability between individual brains.
View Article and Find Full Text PDFJ Neural Eng
January 2025
Department of Information Engineering, Electronics and Telecommunications, University of Rome La Sapienza, Piazzale Aldo Moro 5, Rome, 00185, ITALY.
Deep learning tools applied to high-resolution neurophysiological data have significantly progressed, offering enhanced decoding, real-time processing, and readability for practical applications. However, the design of artificial neural networks to analyze neural activity in vivo remains a challenge, requiring a delicate balance between efficiency in low-data regimes and the interpretability of the results. Approach: To address this challenge, we introduce a novel specialized transformer architecture to analyze single-neuron spiking activity.
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