Novel global One Health surveillance approach to fight AMR using Artificial Intelligence and big data mining

Projekt → MINEYE - EARTH OBSERVATION TECHNIQUES FOR MINE LIFE CYCLE MONITORING USING ML-BASED DATA FUSION APPROACH The MINEYE (Earth Observation techniques for MINe lifE cYclE monitoring using ML-based data fusion approaches) consortium consist… Beitrag ansehen → Projekt → Diagnosing Infections with Multi-Drug Resistant Microorganisms using AI-powered Genomic Antibiotic Susceptibility Prediction from Long-Read Sequencing Data The silent pandemic of antimicrobial resistance (AMR) is a growing global health crisis with a projected annual mortality rate of… Beitrag ansehen → Projekt → One Health approach to understand, predict and prevent viral emergencies from bats In recent years, several novel RNA viruses found in bats have been associated to the emergence of human diseases. Surveillance in… Beitrag ansehen → Projekt → Development and Validation of ‘findtb’, A Novel Digital Tool for Tuberculosis Triage in Children - Using Innovative Methodologies and an Interdisciplinary Approach About 50-65% of children suffering from tuberculosis (TB) across all age groups are never detected. This contributes to the 250,0… Beitrag ansehen → Projekt → Artificial Intelligence to Search for Drug Leads in Gigascale Chemical Spaces as a way to Fight Antimicrobial Resistance in Malaria Malaria, a global infectious disease, is facing a critical issue of drug efficacy loss due to the alarming rise of antimicrobial… Beitrag ansehen → Projekt → Federated Learning for Artificial Intelligence Applications Sherpa.ai is a Spanish deep-tech company pioneering the development of privacy-preserving AI solutions. Sherpa's federated learni… Beitrag ansehen →