30 March, 2023 | Online

13:00-14:00 CEST

Chairs: Prof. Dr. Raquel Duarte (Porto, Portugal), Prof. Dr. Christoph Lange (Borstel, Germany)
Speaker: Dr Fabian Theis (Munich, Germany)

Discussants: Dr. Traian Constantin Panciu (Constanta, Romania), Dr. Otavio Ranzani (Sao Paolo, Brazil)

The latest developments in the field of single cell biology and artificial intelligence have allowed us to understand better the biology of tissues and systems in health and disease. Now it is the time to harness this power to characterise infection at the cellular level to identify novel biomarkers for early diagnosis and treatment response.

Educational aims

The webinar aimed to create an open space for discussion the field of single cell biology and artificial intelligence in TB, whilst providing space for reflection on the current evidence gap, as well as the future possibilities in this field.

Topics

• TB infection
• Clinical trials
• Artificial intelligence
• Single cell biology
• TB diagnostics

Format

The webinar was divided into two parts (of approximately 30 mins. each):

• In first half of the webinar, Dr Fabian Theis gave a presentation on translating single cell biology to novel diagnostic and treatments using AI and associated topics.
• The second half of the webinar is an open discussion, moderated by Raquel Duarte and Cristoph Lange, giving participants the opportunity to share perspectives on the topics presented, and pose questions to the speaker.

Learning outcomes

Following this webinar, participants will be able to:

• Understand how single cell biology allow us to uncover the cellular changes associated with disease.
• How can we integrate these cellular processes to clinical data using AI/ML.
• Understand how we can build interpretable models to identify biomarkers for early diagnostics and the evaluation of treatment response.