Internet and social media platforms enable patients to share their experiences and self-report health data, leading to better understanding of treatments for chronic conditions like Crohn's disease (CD) through platforms like StuffThatWorks (STW).
A study using a Bayesian inference model analyzed the effectiveness of various treatments for CD based on self-reported outcomes from 7,593 participants, most of whom were female and from English-speaking countries.
The results found that infliximab (IFX) was the most effective treatment, with other treatments ranked in the following order: bowel surgery, adalimumab (ADA), ustekinumab (UST), and vedolizumab (VDZ), highlighting the potential of AI-driven, crowds
Treatment for hidradenitis suppurativa (HS) varies widely and often falls short of patient expectations, prompting the study to develop an AI-based platform for evaluating treatments and patient outcomes.
The research involved analyzing data from 1,050 patients through online questionnaires, focusing on their clinical characteristics, comorbidities (like depression and anxiety), and treatment satisfaction to assess which treatments worked best.
Findings indicated that younger males experienced more severe HS symptoms, with different treatments rated based on severity stages, underscoring the importance of understanding comorbid conditions in managing HS effectively.