12 documents found, page 1 of 2

Isoquinolinequinone N-oxides as potent antitumor compounds against pancreatic c...

Background: Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive malignancies, being the 7th leading cause of cancer-related mortality worldwide. PDAC remains associated with an extremely poor prognosis, owing to drug resistance and to the lack of alternative therapeutic options. Standard chemotherapy typically involves gemcitabine, either alone or combined with paclitaxel. Moreover, Chitinase-...

MicroMundo@IUCS_CESPU (2022-2024): uncovering soil’s hidden treasures and its i...

Background: MicroMundo@IUCS_CESPU (MMIC) is a service-learning pedagogical approach allowing university/school students to expand their knowledge on soil biodiversity, antimicrobial resistance (AMR) and experimental sciences [1]. School students experience a real research project by processing soil samples and looking for potential antibiotic-producing microorganisms [2,3]. Objective: To evaluate past MMIC edit...

Evaluating the antitumor activity of selonsertib in pancreatic cancer cell lines

Background: Pancreatic ductal adenocarcinoma (PDAC) is a pathology that ranks seventh among the most common causes of cancer mortality worldwide [1]. Importantly, drug resistance is a major clinical problem for patients with PDAC. Unfortunately, few efficient therapeutic options are available for this type of resistant cancer, and the standard chemotherapy remains gemcitabine or gemcitabine combined with paclit...

merlin v4. 0: an updated platform for the reconstruction of high-quality genome...

Genome-scale metabolic models have been recognised as useful tools for better understanding living organisms metabolism. merlin (https://www.merlin-sysbio.org/) is an open-source and user-friendly resource that hastens the models reconstruction process, conjugating manual and automatic procedures while leveraging the users expertise with a curation-oriented graphical interface. An updated and redesigned version...

Risk Factors, Length of Stay and In-Hospital Mortality of Methicillin-Resistant...

Introduction: The emergence of strains of methicillin-resistant Staphylococcus aureus is a serious therapeutic challenge in healthcare provision. With this study, we aimed to investigate the risk factors and clinical outcomes (mortality and length of hospital stay) associated with methicillin-resistant Staphylococcus aureus infections in patients admitted to a district hospital in Portugal.Material and Methods:...

Risk Factors, Length of Stay and In-Hospital Mortality of Methicillin-Resistant...

The emergence of strains of methicillin-resistant Staphylococcus aureus is a serious therapeutic challenge in healthcare provision. With this study, we aimed to investigate the risk factors and clinical outcomes (mortality and length of hospital stay) associated with methicillin-resistant Staphylococcus aureus infections in patients admitted to a district hospital in Portugal.

Automating the extraction of essential genes from literature

The construction of repositories with curated information about gene essentiality for organisms of interest in Biotechnology is a very relevant task, mainly in the design of cell factories for the enhanced production of added-value products. However, it requires retrieval and extraction of relevant information from literature, leading to high costs regarding manual curation. Text mining tools implementing metho...

Development of an information retrieval tool for biomedical patents

Background and objective. The volume of biomedical literature has been increasing in the last years. Patent documents have also followed this trend, being important sources of biomedical knowledge, technical details and curated data, which are put together along the granting process. The field of Biomedical text mining (BioTM) has been creating solutions for the problems posed by the unstructured nature of natu...

Development of text mining tools for information retrieval from patents

Biomedical literature is composed of an ever increasing number of publications in natural language. Patents are a relevant fraction of those, being important sources of information due to all the curated data from the granting process. However, their unstructured data turns the search of information a challenging task. To surpass that, Biomedical text mining (BioTM) creates methodologies to search and structure...

Development of a machine learning framework for biomedical text mining