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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7270062 | PMC |
| http://dx.doi.org/10.1159/000508297 | DOI Listing |
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Purpose: Oral squamous cell carcinoma is one of the most common types of cancer in the head and neck. Squamous cell carcinoma of the buccal mucosa is an important part of it. The traditional surgical method leads to great injury and is accompanied by unacceptable scars.
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Parkinson's disease is a neurodegenerative disorder marked by the degeneration of dopaminergic neurons and clinical symptoms such as tremors, rigidity, and slowed movements. A key feature of Parkinson's disease is the accumulation of misfolded α-synuclein, forming insoluble Lewy bodies in the substantia nigra pars compacta, which contributes to neurodegeneration. These α-synuclein aggregates may act as autoantigens, leading to T-cell-mediated neuroinflammation and contributing to dopaminergic cell death.
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Med Humanit
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LLM, University of Leeds, Leeds, UK
Being deafblind means my perception differs profoundly from those who are conventionally sighted and have non-impaired hearing. A lot of hidden knowledge is to be found in the disparity between these differing experiences that could be of great value in developing assistive technologies that have a broad scope to engage with both disabled and non-disabled users. This article explores the balancing act between sensory loss and the potential inherent in all of us and how this should be part of the design process of haptic assistive technology.
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School of Mathematical Sciences, Peking University, Beijing 100871, China.
Background: In the face of a growing disparity between high-throughput sequence data and low-throughput experimental studies, the emerging field of deep learning stands as a promising alternative. Generally, many data-driven approaches are capable of facilitating fast and accurate predictions of protein functions. Nevertheless, the inherent statistical nature of deep learning techniques may limit their generalization capabilities when applied to novel nonhomologous proteins that diverge significantly from existing ones.
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