A Literature Survey on Potential Private User Information Leakage in Metaverse Applications
This survey explores potential privacy risks in the Metaverse, focusing on personal data inferred from virtual reality headsets embedded with passive brain‐computer interfaces (BCI). It reviews how age, gender, and ethnicity can be predicted using neurophysiological signals, (e.g., electroencephalogram). The survey also explores future threats from non‐
Mina Jaberi, Tiago H. Falk
wiley +1 more source
Bridging the gap: telemedicine as a solution for HIV care inequities in rural and vulnerable communities. [PDF]
Ezenwaji CO, Alum EU, Ugwu OP.
europepmc +1 more source
DePerio: Deep Learning‐Based Oral Inflammatory Load Quantification for Periodontal Applications
1) Inflammation and oral polymorphonuclear neutrophil (oPMN) Migration: Dental plaque accumulation leads to inflammation, prompting white blood cells (WBCs), particularly oPMNs, to migrate from blood vessels through the gingival epithelium into the oral cavity.
Fatemeh Soheili+9 more
wiley +1 more source
Toward Home-Based Telerehabilitation for Cerebral Palsy Patients: A Qualitative Study on Feasibility, Barriers and Facilitators. [PDF]
Salahshoori F+4 more
europepmc +1 more source
GA: MCFFS method architecture. Pathological images are processed by the multi‐level feature information fusion (MLFF) method and the multi‐scale feature map fusion strategy to achieve the recognition result of cell nuclei. The MLFF module contains convolution blocks, spatial self‐attention, and atrous spatial pyramid pooling.
Yingqing Lu+3 more
wiley +1 more source
openaire +1 more source
Building an Ethical Framework for European Pharmacists in e-Pharmacies.
Toma A, Crişan O.
europepmc +1 more source
An intelligent assessment of factors affecting new generations in the era of the internet and new media using intuitionistic hesitant fuzzy sugeno-weber aggregation operators. [PDF]
Li Y, Liu Y, Zhao D.
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Perspectives on the Current and Future State of Artificial Intelligence in Medical Genetics
ABSTRACT Artificial intelligence (AI) is rapidly transforming numerous aspects of daily life, including clinical practice and biomedical research. In light of this rapid transformation, and in the context of medical genetics, we assembled a group of leaders in the field to respond to the question about how AI is affecting, and especially how AI will ...
Benjamin D. Solomon+20 more
wiley +1 more source