FYRACMLS-Presenter-VollertJ1
Position:

Research Fellow


Department:

Department of Surgery & Cancer


Organization:

Imperial College London


Country:

United Kingdom

Jan Vollert

PhD

Dr. Jan Vollert is a bioinformatician with a PhD in Neurophysiology from the Medical Faculty Mannheim of the Ruprecht-Karls-University Heidelberg, Germany. His research focuses on the application of statistical and computational models in pain research, mainly in Quantitative Sensory Testing. He has conducted analyses of quantitative sensory testing data of patients suffering from neuropathic pain that have been largely acknowledged in the field.

He is a member of the International Association for the Study of Pain (IASP) and its Neuropathic Pain Special Interest Group, where he works on public outreach and trainee representation. He was invited speaker at congresses of the IASP, the NeupSIG, and the European Pain Federation. He published over 50 peer-reviewed papers, and his h-index is 19.

Sessions

Monday, September 19, 2022

Time
1:00pm EDT4:30pm EDT

Concepts of Providing Standardized Sensory Testing Protocols in Developed and Developing Countries.

Tracks: Healthcare Systems And Pain Management, Including Developing World And Low Resource Settings
Categories: Hands-On Workshop

A brief introductory comprising 3x5min talks will be conducted first. The workshop includes 4 stations. The aim is to provide…


Tuesday, September 20, 2022

Time
10:45am EDT12:15pm EDT

It’s Difficult to Make Predictions: Data Mining and Machine Learning in Pain Research and Management

Tracks: Coding And Pain Registries, Informatics
Categories: Topical Workshop

Prescribed and voluntary open data reporting practices, together with a growth in multinational research consortia, are generating medium to large…

4:30pm EDT6:00pm EDT

Patient Stratification in Chronic Pain by Quantitative Sensory Testing: Way Forward or Failure?

Tracks: Assessment, Diagnosis & Measurement Of Pain
Categories: Topical Workshop

“This house believes that sensory testing is useful for stratifying patients with chronic pain in treatment and clinical trials” There…