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Predicting metabolic syndrome: Machine learning techniques for improved preventive medicine.

Health Informatics J

January 2025

Departments of Internal Medicine "C", "D" and "E", Tel-Aviv Sourasky Medical Center, Sackler Faculty of Medicine, Tel-Aviv University, Tel. Aviv, Israel.

Metabolic syndrome (MetS) has a significant impact on health. MetS is the umbrella term for a group of interdependent metabolic threats that contribute to the emergence of diseases that can lead to death. This study was designed to better predict the risks associated with MetS to enable medical personnel to make more optimal preventive medical decisions.

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A major threat to world health is the high death rate from gastrointestinal (GI) cancer, especially in Asia, South America, and Europe. The new approaches are needed because of the complexity and heterogeneity of gastrointestinal (GI) cancer, which has made the development of effective treatments difficult. To investigate the potential of peptide-based therapies that target the P21 Activated Kinase 1 (PAK1) in GI cancer, we are using the DBsORF database to predict peptides from the genomes of two bacterial strains: Lactobacillus plantarum and Pediococcus pentosaceus.

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Ovarian cancer (OC) ranks as the fifth leading cause of cancer-related deaths in the United States, posing a significant threat to female health. Late-stage diagnoses, driven by elusive symptoms often masquerading as gastrointestinal issues, contribute to a concerning 70% of cases being identified in advanced stages. While early-stage OC brags a 90% cure rate, progression involving pelvic organs or extending beyond the peritoneal cavity drastically diminishes it.

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Background: Malaria continues to be an important threat to public health and infects millions of children under 5 years of age each year. Although Ethiopia has set targets for at-risk group interventions to eradicate and manage malaria, the illness is still a serious public health problem in areas where it is endemic, especially in the unique lowlands in the Borena zone.

Objective: This study aimed to determine the prevalence of malaria and associated factors among children in Borena's pastoral communities, Oromia Regional State, southern Ethiopia, in 2022.

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spp. in neonatal sepsis: an urgent global threat.

Front Antibiot

September 2024

Institute of Infection & Immunity, St George's, University of London, London, United Kingdom.

Neonatal sepsis causes substantial morbidity and mortality, the burden of which is carried by low-income countries (LICs). The emergence of multidrug-resistant pathogens in vulnerable neonatal populations poses an urgent threat to infant survival. spp.

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