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specialists around the world are now adapting to virtual models of care for
their patients. These models offer significant opportunities for data driven
approaches to increase disease understanding and aid clinical decision making.
In this webinar we will focus on research and care programmes which use patient
data to optimise management of ILD. How is registry data helping us
characterise ILD? Can models help predict ILD disease progression? How do
virtual care pathways enable improved ILD patient monitoring and management?
Join us in learning from the experts, as we discuss the key learnings from
research and clinical experience in these fields.
This program is sponsored by patientMpower.
By registering for this webinar, you agree your information will be shared with the sponsor.
No CME or MOC credits are available for this program.
Opinions expressed and resources shared may not have been reviewed by the ATS prior to distribution through ATS channels, or reflect official positions of the ATS, unless it is explicitly noted as a result of official ATS approval. References to specific commercial entities (companies) or products do not reflect review or endorsement by the ATS unless it is explicitly noted as a result of official ATS approval.