ADAM

eHealth

The goal of ADAM is to design AI methods that are able to predict how a particular patient will react to a particular treatment. This makes it possible to tailor the treatment to each patient. ADAM will focus on two pathologies: heart diseases (coronary artery disease) & lung diseases (lung cancer).

For this ADAM will use three forms of input. First, the structured medical records of the patients will be used. Second, ADAM will develop technology to unlock the patient data that is hidden in clinical notes (text) according to international standards. Third, ADAM will also collect data outside the hospital. Patients, who are willing to participate, will wear wearables (e.g. smart wristwatches) to measure heart rate, oxygen saturation, etc. Instead of snapshots (the doctor’s check), data can be recorded continuously and give a better real-life picture. A computer will structure this health data in an international code to be able to process this data in real time. In this way, the doctor can remotely monitor the patient’s health and proactively schedule an appointment with the patient if necessary.

This is done with respect for patient privacy and in accordance with data protection law and clinical trial law.

Partners

ADAM is a VLAIO O&O Project. It is a collaboration between the RADAR innovation and learning center of AZ Delta & IDLab.