Indian J Med Res
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Discovery of new antibiotics is the need of the hour to treat infectious diseases. An ever-increasing repertoire of multidrug-resistant pathogens poses an imminent threat to human lives across the globe. However, the low success rate of the existing approaches and technologies for antibiotic discovery remains a major bottleneck. In silico methods like machine learning (ML) deem more promising to meet the above challenges compared with the conventional experimental approaches. The goal of this study was to create ML models that may be used to successfully predict new antimicrobial compounds. ⋯ We aggregated the top performing four models through a soft-voting technique to develop an ensemble-based ML method and incorporated it into a freely accessible online prediction server named ABDpred ( http://clinicalmedicinessd.com.in/abdpred/ ).
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Observational Study
Characteristics & outcomes of tribal & non-tribal neonates admitted to a special newborn care unit in rural Gujarat, India.
This study aimed to compare the admission characteristics and outcomes of tribal and non-tribal neonates admitted to a level II special newborn care unit (SNCU) in rural Gujarat. ⋯ There was a reduction in the case fatality rate over the study period. Tribal and non-tribal neonates had similar risk of death. Sepsis prevention and management, mechanical respiratory support and timely referral to a higher centre might help further reduction in mortality for these neonates.