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Myopia control in the real world: treatments, target, timing, and terminus

CORDIS · observation · Publication date unknown

aily practice 3. To investigate patient profiles for poor response and adherence to myopia control 4. To predict the final outcome of myopia based on a plethora of potential predictors using advanced machine learning techniques 5. To develop the CONTROL-MYOPIA platform with a user-centred and highly interactive design which provides an accurate prediction of myopia outcomes with and without myopia control, and which recommends the right prevention and treatment for the right patient at the right time Impact: CONTROL-MYOPIA’s outcomes will have widespread impact on clinical care, patient participation, public health, design of clinical trials, research innovation, and policy changes reference centile charts, myopia, myopia control, patient management, clinical decision making, nearsightedness, machine learning, genetics, lifestyle, real world data, registry, artificial intelligence, blindness prevention, refractive error, axial length

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recordType

award

status

SIGNED

region

EU

value

2500000

unit

EUR