[WEBINAR] From ‘Mystery Illness’ to Measurable Biology: A Practical Framework for Complex Chronic Presentations

From ‘Mystery Illness’ to Measurable Biology: A Practical Framework for Complex Chronic Presentations
DATE: Wednesday 19th August 2026
TIME: 18:00 BST | 19:00 CEST | 13:00 EDT
DESCRIPTION:
Patients presenting with persistent fatigue, pain, brain fog and other complex multi-system symptoms can be among the most challenging to assess in clinical practice. In this webinar, Professor Gilbert will share a practical, evidence-informed framework for approaching these cases, helping clinicians navigate diagnostic uncertainty with greater confidence.
Drawing on clinical examples, she will explore how pre-test probability, symptom timing and immune response patterns can support clinical decision-making when considering tick-borne disease and co-infections. Attendees will also learn a staged testing algorithm, recognise key red flags that influence clinical suspicion, and develop interpretation strategies that help reduce missed diagnoses while avoiding unnecessary “test hopping.”
What you’ll learn:
- A structured approach to assessing patients with fatigue, pain, brain fog, dysautonomia and other multi-system symptoms.
- How to apply pre-test probability, timing and immune patterns to support clinical decision-making.
- A staged testing algorithm for investigating tick-borne disease and co-infections.
- Key clinical red flags that should raise or lower suspicion.
- Principles for interpreting results to reduce missed diagnoses and unnecessary testing.
- How to deliver compassionate, safe and personalised care in everyday clinical practice.
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ABOUT THE SPEAKER:
Professor Leona Gilbert is a Docent / Adjunct Professor of Cell and Molecular Biology and the CEO of Tezted Oy. She has over 20 years’ experience in research-driven initiatives that provided valuable tools for patients.
She has a doctorate in biotechnology and very long experience in bio-innovation and bio-business. She has supervised numerous PhD, MSc and BSc students and published various peer-reviewed articles. Prof. Gilbert’s research initiatives into complete diagnostic platforms