Publications by authors named "E Saerkilahti"

Despite ongoing advancements in drug design and developments, breast cancer remains a serious and devastating disease and is ranked as the second most common illness in women. Breast cancer rates have increased significantly during the last 40 years. This necessitates the development of novel treatment techniques.

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: Live microorganisms, named probiotics, can improve overall physical well-being, particularly the oral cavity's health. , a popular probiotic, can influence the immune response by increasing the number of macrophages and plasma cells that play a role in traumatic ulcer healing. : To determine the expression of tumor necrosis factor-alpha (TNF-α) and the varied number of plasma cells and macrophages on a traumatic ulcer animal model treated with topical or systemic administration of a probiotic : Thirty-six healthy, 2-3-month-old male weighing 175-250 gram, were designed into control and topical and systemic administration probiotic groups.

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Equine piroplasmosis is a worldwide tick-borne disease caused by the parasites Theileria equi sensu lato and Babesia caballi, with significant economic and sanitary consequences. These two parasites are genetically variable, with a potential impact on diagnostic accuracy. Our study aimed to evaluate the frequency of asymptomatic carriers of these parasites in France and describe the circulating genotypes.

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Despite advances in understanding molecular and cellular changes in the aging nervous system, the upstream drivers of these changes remain poorly defined. Here, we investigate the roles of non-neural tissues in neuronal aging, using the cutaneous PVD polymodal sensory neuron in Caenorhabditis elegans as a model. We demonstrate that during normal aging, PVD neurons progressively develop excessive dendritic branching, functionally correlated with age-related proprioceptive deficits.

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The field of traffic forecasting has been the subject of considerable attention as a critical component in alleviating traffic congestion and improving urban services. Given the regular patterns of human activities, it is evident that traffic flow is inherently periodic. However, most of existing studies restrict themselves to recent historical observations and typically yield structurally and computationally complex models, which greatly limits the forecasting accuracy and hinders the application of models in realistic situations.

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