Goldenholz Epilepsy + Data Science Lab

Goldenholz Epilepsy + Data Science Lab

Goldenholz Epilepsy + Data Science Lab
Our lab combines epilepsy research with machine learning and data science statistics to improve the lives of epilepsy patients.
This lab is dedicated to connecting the latest clinical information about epilepsy with the latest developments in data science, in order to achieve clinically meaningful improvements in the lives of people with epilepsy.

For us, "data science" means applying the appropriate mix of advanced statistics, signal processing, machine learning, computer science, and proper database management to achieve improved precision, accuracy, and reproducibility.

The lab is led by Dr. Daniel Goldenholz, who is also the Director of the International Seizure Diary Consortium.

Our Main Focus

There are 3 main focus areas for this lab:

Figure 1 Natural seizure patterns, source: Goldenholz et al 2018,Ann Clin Transl Neurol. 2018.
1. Natural seizure patterns

This includes understanding the natural fluctuations of seizure counts, seizure clustering, and seizure forecasting. Figure 1, source: Goldenholz et al 2018,Ann Clin Transl Neurol. 2018.

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Biosensor dynamics Figure 2, source: Goldenholz et al 2017 Epilepsia.
2. Biosensor dynamics

Here we are using biosensors such as ECG and pulse oximetry to understand hidden markers of risk for sudden cardiac death and/or sudden unexpected death in epilepsy (SUDEP). Figure 2, source: Goldenholz et al 2017 Epilepsia.

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Figure 3, Clinical trial improvements, source: Goldenholz 2017, Ann Clin Transl Neurol.
3. Clinical trial improvements

Developing techniques for more rapid, more efficient yet less expensive clinical trials in epilepsy that will accelerate bringing novel treatments to this disease. Figure 3, source: Goldenholz 2017, Ann Clin Transl Neurol.

See a larger version of Figure 3