A satellite‑based, near real‑time, street‑level resolution air pollutants monitoring system using machine learning for personalised skin health applications

Scientific paper in Air Quality, Atmosphere & Health 2024 | siHealth, University of Cambridge, UKRI-STFC RAL Space

Synopsis

The primary objective of the study is to evaluate the effectiveness of DL-PDT when assisted by SmartPDT in the clearance of AK in clinical practice. Secondary objectives of the study include evaluating the satisfaction of patients and clinical staff in SmartPDT usability, evaluating the safety of SmartPDT use for DL-PDT and evaluating the incidence of relapses at 6 and 12 months after a DL-PDT session.

Authors

R. C. Temple, siHealth Ltd, Harwell Campus, Didcot, Oxfordshire, UK
J. May, siHealth Ltd, Harwell Campus, Didcot, Oxfordshire, UK
P.F. Linden, Department of Applied Mathematics and Theoretical Physics, Centre for Mathematical Sciences, University of Cambridge, Cambridge, UK
B. Latter, RAL Space, UKRI-STFC, Rutherford Appleton Laboratory (RAL), Harwell Campus, Didcot, Oxfordshire, UK | National Centre for Earth Observation (NCEO),
UKRI-STFC, Rutherford Appleton Laboratory (RAL), Harwell Campus, Didcot, Oxfordshire, UK
S.F. Wilson, siHealth Ltd, Harwell Campus, Didcot, Oxfordshire, UK
M. Morelli, siHealth Ltd, Harwell Campus, Didcot, Oxfordshire, UK

Read online