Publications by authors named "S Spasic"

Sensorineural hearing loss (SNHL) is caused by damage to the mechanosensory hair cells and auditory neurons of the cochlea. The development of imaging tools that can directly visualize or provide functional information about a patient's cochlear cells is critical to identify the pathobiological defect and determine the cells' receptiveness to emerging SNHL treatments. However, the cochlea's small size, embedded location within dense bone, and sensitivity to perturbation have historically precluded high-resolution clinical imaging.

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Article Synopsis
  • Diagnosing pediatric Crohn's disease (CD) can be tricky due to varying histological features; this study examines treatment-naïve biopsy samples to better understand these challenges.
  • Three patient groups were analyzed: 137 with CD, 116 with ulcerative colitis (UC), and 50 healthy controls, focusing on signs of inflammation in their gastrointestinal tract biopsies.
  • Key findings include that microgranulomas were found in many CD patients and that lymphocyte-pattern oesophagitis could indicate a need for more intensive treatment, highlighting the importance of recognizing these histological markers.
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Neuromuscular excitability is a vital body function, and Mg is an essential regulatory cation for the function of excitable membranes. Loss of Mg homeostasis disturbs fluxes of other cations across cell membranes, leading to pathophysiological electrogenesis, which can eventually cause vital threat to the patient. Chronic subclinical Mg deficiency is an increasingly prevalent condition in the general population.

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Continuous increasing leaf photosynthesis may enhance plant yield. As an evolutionary property, plants use less photosynthetic capacity than is theoretically possible. Plant nanobionics is a bioengineering field that improves plant functions using nanoparticles.

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Artificial intelligence (AI) has been used in many areas of medicine, and recently large language models (LLMs) have shown potential utility for clinical applications. However, since we do not know if the use of LLMs can accelerate the pace of genetic discovery, we used data generated from mouse genetic models to investigate this possibility. We examined whether a recently developed specialized LLM (Med-PaLM 2) could analyze sets of candidate genes generated from analysis of murine models of biomedical traits.

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