Replay available

Data science is an interdisciplinary field that extracts knowledge and insights from the available data and allows systems to learn from experience. In health science and especially medicine, data science provides aid to medical staff in the decision-making process, diagnostic method and treatment prescription.

As the clinical practice shows, decisions on antibiotic therapy have always been challenging due to variability in the antibiotic’s timing, selection and suitability.

In this webinar, we will discuss whether the decision support algorithms can be helpful in antimicrobial stewardship.

Learning Outcomes

• Learn how to choose the best antibiotic and antifungal therapy.
• Discuss the parameters to consider for having the best clinical outcome.
• Show how machine learning can be used to predict antibiotic resistance.

Topics & experts

“Antibiotic and Antifungal Stewardship: The why, the how, and the how much”
Ignacio MARTIN-LOECHES
St James’s Hospital, Dublin (IE).

“Machine Learning for Antibiotic Resistance Prediction” 
José GARNACHO-MONTERO 
University Hospital Virgen Macarena, Seviile (ES).

Moderators

Denise BATTAGLINI
San Martino Hospital (IRCCS), Genoa (IT). 

Sigal SVIRI
Hadassah Medical Center, Jerusalem (IL).