Ditekta 's AI model, is built using advanced machine learning algorithms and vast datasets of genetic, clinical, and environmental information. It swiftly and accurately detects antimicrobial resistance patterns, enabling early intervention and personalized treatment plans to combat AMR effectively and improve patient outcomes.
Our Risk Assessment solution streamlines and standardizes AMR density reporting by providing accurate and reliable results. By leveraging advanced algorithms, it simplifies the complex process of analyzing resistance patterns, ensuring consistency across reporting. This standardized approach enhances reliability and enables healthcare providers to stratify AMR density effectively, guiding precise treatment decisions and improving patient outcomes.
Risk assessment is crucial in combating antimicrobial resistance (AMR) as it allows for proactive measures to mitigate its impact
Over 2.8 million people are infected with AMR in United States alone. This number is significantly highlighting the urgent need for effective strategies to combat this growing public health threat.
Annually, AMR leads to a staggering toll of over 35,000 lives lost in the United States, emphasizing the pressing need for comprehensive measures to tackle antibiotic resistance
If left unchecked, AMR could claim a devastating toll of 10 million lives by 2050, as warned by WHO. Urgent action is imperative to avert this looming global health crisis.
AMR exacts a dire toll of over 750,000 lives annually in developing nations, underscoring the urgent need for accessible solutions to combat antibiotic resistance worldwide.
Our technology transforms antimicrobial susceptibility testing (AST) by introducing objective, data-driven analysis, thus overcoming the subjectivity inherent in traditional methods. With standardized interpretation, results remain consistent across tests, ensuring reliability in diagnosis and treatment.
Data-driven analysis employs extensive datasets to precisely identify resistance patterns, enhancing the accuracy of AST results. Machine learning algorithms, continuously refining their capabilities, promise even greater precision over time.
Transparent methodology and consistent reporting uphold the integrity of our AST process, minimizing bias and fostering trust in treatment decisions and patient outcomes.
Integrate clinical, genomic, and epidemiological data for a holistic AMR risk assessment
Ensure ease of use for healthcare professionals to interpret results and take action
Detect emerging AMR trends promptly for rapid response.
Forecast future AMR trends and assess intervention impacts
Stay informed about AMR risk to protect yourself and your community. Understand the latest trends, prevention strategies, and treatment options. Together, we can combat antimicrobial resistance and safeguard global health.