internal-AMR-Event

Fourteen partners attended this second meeting of the Machine Learning (ML) Scientific Interest Group (SIG), which focused on the practical application of Artificial Intelligence (AI) and Machine Learning methods in antimicrobial drug discovery (ADD). Artificial intelligence concerns the study and development of machines that are capable of learning and problem-solving, thus natural intelligence. A "worked […]

About ten people attended this second meeting with the Scientific Interest Group (SIG) on animal models. As a follow up from the previous SIG meeting, this event focused on “Data Cataloging of animal infection models.”. The attendees contributed to this first version of the in vivo catalog with information about their resources and infection models […]

The 4th AMR Accelerator Cross-project Meeting for the AMR Accelerator community, a total of 9  projects, took place on 15 Mach 2023 at the Marriott Hotel, Basel, Switzerland. Agenda:   List of registered participants

People affected with bacterial infections can be involved in every step of antibiotic drug development. Not only can they be receiving an antibiotic treatment that derives from research results, but they can also be contributing partners of research, and even involved in further research. During this Science Communication Interest Group meeting, we explored community engagement […]

In commemoration of this year’s World TB Day, UNITE4TB partnered with ERA4TB to organize a webinar on the topic of community involvement and engagement in early-stage tuberculosis (TB) research. More info here.

The topic of the session was machine learning (ML) and artificial intelligence (AI) and how ML/AI tools are being utilized within the UNITE4TB Consortium to select, test and deliver novel combination TB regimens. Split into two parts, the first 30 minutes of the webinar was led by Dr. Carlos Talavera-López of Helmholtz Munich (co-lead of […]

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