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

[נתי שטרן]

Hello,
I decided to develop a software tool on the subject because I was treated
as a teenager in a psychiatric hospital for a long period of time and saw
the helplessness of doctors in making diagnoses due to the lack of bio
markers for psychiatric diagnoses, unlike what happens in internal
medicine, for example.
Moreover, I am a professional data analyst, so I will dedicate the
development on the subject to the above-mentioned topic.

Best regards,
Netanel

‫בתאריך יום ד׳, 13 באוג׳ 2025 ב-3:47 מאת ‪Ronald Marca‬‏ <‪
rnldmarca at gmail.com‬‏>:‬

> Dear Netanel,
>
> Junto con saludar, tu propuesta de investigación me parece muy atractiva y
> me interesa formar parte de ello, considero que podría contribuir en
> neuroimagen y machine learning.
> Podrías compartir más información al respecto e indicar específicamente
> que buscas o esperas de estos campos (neuroimagen y machine learning)?
>
> Saludos cordiales,
> Ronald Marca
>
> ‪El mar, 12 ago 2025 a la(s) 4:37 p.m., ‫נתי שטרן via eeglablist‬‎ (
> eeglablist at sccn.ucsd.edu) escribió:‬
>
>> 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
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>

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