The occurrence of seizures in epilepsy is not entirely random. Temporal patterns that organize the occurrence of seizures over weeks and months were previously unraveled using intracranial EEG System (IEEG) that monitors epileptic brain activity chronically. Seizures typically recur with patient-specific periodicity and are preceded by increases of epileptic brain activity over days. Here, the investigators developed new methods to forecast seizure likelihoods at a 24-h horizon. In this trial, participants will be provided with daily estimates about their upcoming risk of seizures. As a primary outcome, the performance of forecasts will be evaluated against the occurrence of electrographic seizures. As secondary outcome, the forecast's potential benefit for users in conveying actionable information in real-life will be assessed.

Inclusion Criteria:

• Adult with diagnosed pharmacoresistant epilepsy and at least one self-reported seizure in the last 12 months.
• Patients previously implanted with the RNS System, on stable detection settings enabling reliable detection of electrographic seizures.
• Patients willing and able to keep a diary, issue self-forecasts, and follow instructions.
• Home equipped with an internet connection.
• Informed Consent signed by the subject

Exclusion Criteria:

• Insufficient number of electrographic seizures or insufficient forecasting performance in the training phase.
• Women pregnant at the time of recruitment (later pregnancy not a contra-indication)
• Subjects with a history of psychogenic non-epileptic seizures
• Clinically significant concomitant disease states (e.g., renal failure, hepatic dysfunction, cardiovascular disease, etc.)
• Vulnerable subjects, including severe cognitive impairment precluding informed consent
• Drug or alcohol addiction
• Subjects who are unable (i.e., mentally or physically impaired patients) or do not have the necessary assistance, to properly operate the device system.

The individual participant data can be shared by the investigators upon study completion based on a reasonable request.

The data will be shared 2-4 years after study start and up to a duration of 10 years.

Researcher will be able to access the data.