Publications by authors named "Monica Villanueva"
Novel active Trp- and Arg-rich antimicrobial peptides with high solubility and low red blood cell toxicity designed using machine learning tools.
Int J Antimicrob Agents
December 2024
Article Synopsis
- * Machine learning techniques were used to identify and rank potential non-hemolytic AMPs from two libraries of peptide sequences, leading to the synthesis and testing of 220 peptides against Methicillin-resistant Staphylococcus aureus (MRSA).
- * Six promising AMPs were further analyzed for their effectiveness against various bacteria and cancer cell lines, revealing a successful strategy for creating effective and safe antimicrobial agents, while also setting a foundation for future research and machine learning applications in peptide design.
The frequency of celiac disease (CD) has increased along time, with relevant changes reported in geographical variations, clinical presentation and nutritional repercussions. In recent years, some celiac patients are presenting overweight/obesity, but it is unclear how frequent this is and to what extent undernutrition remains a concern. This is relevant because CD tends to be overlooked in overweight patients.
View Article and Find Full Text PDFThe United Nations Population Fund (UNFPA) and the United States Agency for International Development (USAID) DELIVER PROJECT work together to strengthen public health commodity supply chains by standardizing bar coding under a single set of global standards. From 2015, UNFPA and USAID collaborated to pilot test how tracking and tracing of bar coded health products could be operationalized in the public health supply chains of Ethiopia and Pakistan and inform the ecosystem needed to begin full implementation. Pakistan had been using proprietary bar codes for inventory management of contraceptive supplies but transitioned to global standards-based bar codes during the pilot.
View Article and Find Full Text PDFIntroduction: This study reports on the effectiveness and efficiency from the program funder's perspective of the Suraj Social Franchise (SSF) voucher program in which private health-care providers in remote rural areas were identified, trained, upgraded, and certified to deliver family planning services to underserved women of reproductive age in 29 districts of Sindh and 3 districts of Punjab province, Pakistan between October 2013 and June 2016.
Method: A decision tree compared the cost of implementing SSF to the program funder and its effects of providing additional couple years of protection (CYPs) to targeted women, compared to business-as-usual. Costs included vouchers given to women to receive a free contraceptive method of their choice from the SSF provider.