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udies to determine AMR attributable mortality and morbidity are urgently required. Policy makers need accurate and detailed burden estimates to inform prioritization of resource allocation, and to select the most effective intervention strategies to halt the AMR crisis.<br /><br />Efforts to improve harmonization, representativeness, quality of AMR surveillance data and cohort studies to determine AMR attributable mortality and morbidity are urgently required. Policy makers need accurate and detailed burden estimates to inform prioritization of resource allocation, and to select the most effective intervention strategies to halt the AMR crisis.<br /><br /> Concept normalization is the task of linking terms from textual medical documents to their concept in terminologies such as the UMLS®. Traditional approaches to this problem depend heavily on the coverage of available resources, which poses a problem for languages other than English.<br /><br /> We present a system for concept normalization in French. [https://www.selleckchem.com/products/peficitinb-asp015k-jnj-54781532.html check details] We consider textual mentions already extracted and labeled by a named entity recognition system, and we classify these mentions with a UMLS concept unique identifier. We take advantage of the multilingual nature of available terminologies and embedding models to improve concept normalization in French without translation nor direct supervision.<br /><br /> We consider the task as a highly-multiclass classification problem. The terms are encoded with contextualized embeddings and classified via cosine similarity and softmax. A first step uses a subset of the terminology to finetune the embeddings and train the model. A second step adds the entire target terminology, and the model is trained further with hard negative selection and softmax sampling.<br /><br /> On two corpora from the Quaero FrenchMed benchmark, we show that our approach can lead to good results even with no labeled data at all; and that it outperforms existing supervised methods with labeled data.<br /><br /> Training the system with both French and English terms improves by a large margin the performance of the system on a French benchmark, regardless of the way the embeddings were pretrained (French, English, multilingual). Our distantly supervised method can be applied to any kind of documents or medical domain, as it does not require any concept-labeled documents.<br /><br /> These experiments pave the way for simpler and more effective multilingual approaches to processing medical texts in languages other than English.<br /><br />These experiments pave the way for simpler and more effective multilingual approaches to processing medical texts in languages other than English.Colorectal carcinoma (CC), one of the most prevalent digestive cancers with high mortality and morbidity globally, still lacks powerful therapies to improve the prognosis. Here, we established that the expression of fos-like antigen-1 (Fosl1) was elevated in CC tissues versus adjacent tissues. Importantly, high Fosl1 expression was related to dismal prognosis among CC patients. Functional assays displayed that Fosl1 increased the viability, epithelial-to-mesenchymal transition (EMT), migration and invasion of CC cells. Additionally, a xenograft assay showed that silencing of Fosl1 in CC cells retarded lung, liver and kidney metastases in vivo. Further investigation demonstrated that Fosl1 was involved in malignant aggressiveness of CC cells by binding to smad ubiquitination regulatory factor 1 (Smurf1). Mechanistically, Smurf1-induced F-Box and leucine rich repeat protein 2 (FBXL2) ubiquitination resulted in its degradation, while FBXL2 disrupted the activation of the Wnt/β-catenin signaling. In summary, Fosl1 plays a pro-metastatic and carcinogenetic role in CC, and we provided forceful evidence that Fosl1 inhibition might act as a prognostic and therapeutic option in CC.The search for novel therapeutic agents for the management of cerebral ischemia/stroke has become an appealing research interest in the recent past. Neuroprotective phytochemicals as novel stroke drug candidates have recently drawn significant interests from stroke scientists due to their strong brain protective effects in animal stroke models. The underlying mechanism of action is likely owing to their anti-inflammatory properties, even though other mechanisms such as anti-oxidation and vasculoprotection have also been proposed. It is generally held that the early proinflammatory responses after stroke can lead to a secondary brain injury, mainly due to the damaging effect exerted by over-activation of brain resident microglial cells and infiltration of circulating monocytes and macrophages. This review focuses on the anti-inflammatory properties of bioactive phytochemicals, including activation and polarization of microglia/macrophages in the post-ischemic brain. The latest studies in animal stroke models demonstrate that this group of bioactive phytochemicals exerts their anti-inflammatory effects via attenuation of brain proinflammatory microglia and macrophages M1 polarization while promoting anti-inflammatory microglial and macrophages M2 polarization. As a result, stroked animals treated with brain protective phytochemicals have significantly fewer brain active M1 microglia and macrophages, smaller brain infarct volume, better functional recovery, and better survival rate. Therefore, this review provides insights into a new category of drug candidates for stroke drug development by employing neuroprotective phytochemicals.Statins are effective for reducing cardiovascular disease in patients at risk or with cardiovascular disease. The benefit of statin therapy on adverse cardiovascular outcomes in patients with non-valvular atrial fibrillation (AF) is not clear. We performed a systematic review and meta-analysis of studies retrieved from MEDLINE via PubMed and Cochrane (CENTRAL) database of studies investigating the efficacy of statins in AF patients. The principal endpoint was all-cause mortality. Other endpoints were cardiovascular mortality, ischemic stroke, composite endpoints and any bleeding. We included 14 studies (2 post-hoc analysis of randomized clinical trials, 8 prospective and 4 retrospective) with 100,287 AF patients, of whom 23,228 were on statins. The pooled hazard ratio (HR) for all-cause mortality was 0.59 (95 % Confidence Interval [CI] 0.54-0.65). This association was consistent by aging, sex and prevalent cardiovascular or cerebrovascular disease. and the beneficial effect was evident already after 12 months of therapy.