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Clinical Trial Summary

Due to limited number of phototherapy centres and shortage of qualified phototherapy practitioners, heliotherapy has become a promising treatment alternative in Thailand where patients effortlessly receive supervised sun-bathing treatments from their homes whenever they are convenient. We used newly designed deep neural network UV forecasting model developed by using our 10 year-retrospective Solar UV irradiance (280-400 nm) retrieved from a ground based platform at Atmosperic laboratory, Silpakorn University, Nakhon Pathom, Thailand (13.82N 100.04E, 30 m above mean sea level). This model achieved a next-day forecast error of less than 12% which has been the most accurate prediction to date. We designed our 10week heliotherapy regimen based on the predicted anti psoriasis effective irradiance values. We studied efficacy and safety of the 12-week heliotherapy regimen for psoriasis on only ruled acceptable clear sky days in Bangkok, Thailand


Clinical Trial Description

We studied efficacy and safety of the 16-week heliotherapy regimen for psoriasis on only ruled acceptable clear sky days in Bangkok, Thailand ;


Study Design


Related Conditions & MeSH terms


NCT number NCT04740983
Study type Interventional
Source Chulalongkorn University
Contact
Status Not yet recruiting
Phase N/A
Start date March 15, 2021
Completion date December 31, 2021

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