Welcome to the
EADV 2022 Highlights!
Welcome to EADV 2022 Highlights. The Highlights offer a selection of the newest and most relevant data presented at the EADV 31st Annual Congress. Enjoy this opportunity to learn about the significant advances and breakthroughs in dermatology research and care.
Today@EADV
EADV
Leadership Interviews
Watch the interviews with the EADV Leadership. Learn about EADV’s strategic activities and goals.
10
What do you think are the most exciting developments in the field of dermatology over the past years?
119
What do you think are EADV’s most impressive strengths and achievements in recent years?
202
What are the key gaps in dermatology, and how can these be addressed?
291
The EADV Congress is always an exceptional event. What should EADV members and colleagues take home and back to clinical practice from this 2022 Congress?
10
What are the highlights so far from your EADV presidency?
83
What are your personal highlights from the 2022 EADV Congress?
EADV
Faculty Interviews
Watch the interviews with some of the international experts who contributed to the EADV Congress 2022.
Current approaches to alopecia areata
18
What are the unmet needs for people with AA?
59
How are JAKi changing the landscape?
91
What are the main clinical data?
133
Which patients would benefit from these therapies?
Psoriasis and comorbidities - Treatment goal PASI100
18
What is the state of the art of psoriasis?
63
What are the most common comorbidities in people with psoriasis?
202
How do comorbidities affect treatment decisions?
303
Is PASI100 a reasonable goal in the clinic?
385
Will achieving the skin clearance represented by PASI100 have an impact on non-skin manifestations and associated comorbidities?
A machine learning tool for the early identification of undiagnosed psoriatic arthritis patients. Is it possible?
18
What proportion of people with psoriasis have undiagnosed PsA?
47
Can you describe the machine learning tool you developed?
159
How does the tool predict who will develop PsA?
197
Do you think using this kind of AI will become commonplace in clinical practice?
