News & Events

New publication

Blood pressure is known to be corelated to diabetes. But did you know that the very act of measuring blood pressure can help balance blood sugar levels? A new research led by  Pavel Goldstein and others, demonstrats that subjects who regularly measured their blood pressure in addition to sugar levels, showed a significant improvement in both indicators.

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Exciting news!

 Pavel Goldstein won two ISF (Israel Science Foundation) grants: 

  1. Ecological validation of psychotherapy for chronic pain: specifying the mechanisms.
  2. Understanding the mechanisms behind chronic pain psychotherapeutic approaches can boost the therapy efficacy by adjusting the dynamic of the therapy and the mechanism-based content.

 

 

Amneh Shmali Asly developed a predictive model with amazing results 

 

Amneh just completed a 2-week data science workshop organized by https://sicss.io/2022/haifa/ (which Pavel Goldstein was one of the organizers). In her final project Amneh developed a predictive model of 6 emotions using their textual descriptions as predictors. The model reached an accuracy of above 90%!

Sewar will be presenting her poster in the 2022 world congerss on pain 

Sewar Khatib poster has been exepted to The 2022 World Congress on Pain will take place in Toronto, Canda, 19-23 september. Learn more at the congress website: https://iaspworldcongress2022.org/

Welcome Dr. Dmitry Scherbakov
We are excited to welcome Dr. Dmitry Scherbakov to our lab!

Dmitry’s role in the Integrative Pain Laboratory (iPainlab) will be to conduct machine learning analysis of texts and numerical data coming from social media of chronic pain patients, surveys and digital platforms. The resulting data models will be used to improve existing diagnostic tools available to doctors. He will also work on the creation of therapeutic chat-bot which will help patients assess and treat their pain. 

Dmitry has completed his PhD in Media Studies at Russian State University for the Humanities. In his PhD work he applied traditional and computer based methods to analysis of texts. He was able to show that media reputation of the left-wing writer N.G. Chernyshevsky is cyclic in nature as manifested in different types of media from old journals to internet discussion boards.