[Eeglablist] Invitation to Collaborate: Developing an Objective Diagnostic Tool for Schizophrenia using QEEG and Machine Learning

[נתי שטרן]

Dear Researchers and Colleagues,

I am writing to you today with a proposal for a research collaboration on a
novel project in psychiatric diagnostics. Our proposal, titled *"Developing
an Objective Diagnostic Tool for Schizophrenia using QEEG and Machine
Learning Integration,"* outlines an advanced approach to identify and
predict schizophrenia and its treatment response using sophisticated EEG
data analysis.

The study aims to:

   -

   *Identify Electrophysiological Biomarkers*: Pinpoint unique patterns in
   qEEG that can distinguish between individuals with schizophrenia, those at
   ultra-high risk (UHR), and healthy controls.
   -

   *Develop a Machine Learning Classification Model*: Create an objective
   and highly accurate diagnostic tool.
   -

   *Predict Treatment Response*: Examine the relationship between
   electrophysiological features and patients' response to antipsychotic
   treatment, with the goal of improving personalized therapy.

We are seeking partners with expertise in *neuroimaging, EEG,
schizophrenia, machine learning, and clinical neurophysiology*.

If this research proposal interests you, I would be delighted to share more
information and discuss the possibility of working together.

Thank you for your time and consideration.

Sincerely,

Netanel Stern

nsh531 at gmail.com