News & Achivements
 

The Big Biomedical research laboratory (PI Dr. Galit Almoznino) is hiring MSc/Ph.D. students! See the attached document for the opportunities for research in the lab and contact details.
#opportunities #students #medical #statistics #computerscience #hiring #research

This week I was honored to represent our Faculty of Dental Medicine, The Hebrew University of Jerusalem, and Hadassah Medical Center at a conference held by the Ministry of Health Israel. I presented our faculty standards in Patient Care and infection prevention and control (IPC) on behalf of our Dean Prof. Avi Zini and the dedicated staff and students. Proud to be part of our faculty!
#health #university #medical #students #medicine #medical

As a part of RheumaticMonitor study, our team developed a unique application for monitoring patients with rheumatological diseases (joint diseases). The app collects baseline and ongoing information that is used for BIG DATA analysis to predict factors that affect response to treatment, remissions, and outbreaks of the disease.
The research is a collaborative effort that I lead as PI at the Hadassah Medical Center, together with Dr. Hagit Peleg and Prof. Eldad Ben-Chetrit and Prof. Yuval Shahar of the Ben-Gurion University of the Negev. The research is funded by the Ministry of Science and Technology. Thank you for your hard work in the development of the app Noam Mazuz from Vizion company, Erez Shalom, PhD., and Michal Weisman Raymond.
As part of the study, we recruit participants through the Inbar Association for Victims of Rheumatic, Autoimmune, and Inflammatory Diseases https://lnkd.in/dzyaH4Fc and the ASAF Association for Fibromyalgia and Chronic Fatigue Syndrome https://www.asaf.org .il / events-news /.

Join the RHEUMATIC MONITOR study, In order to receive a user code for the application, you must first register at the following link:
https://lnkd.in/df_2Q-uJ
Through it, you will receive in a return email username and password for the application.

Then download the app depending on the type of mobile device you are using:
IPhone: https://lnkd.in/dsZitAUd
 Android: https://lnkd.in/dwPwiX5s
Enter the username and password you received in the email and start filling out the initial questionnaire.

במסגרת מחקר RheumaticMonitor פיתחנו אפליקציה ייחודית לניטור ומעקב של חולים במחלות ראומטולוגיות (מחלות מפרקים). המחקר הוא פרי שתוף פעולה אותו אני מובילה כחוקרת ראשית במרכז הרפאי הדסה, יחד עם פרופ' יובל שחר מאוניברסיטת בן גוריון. המחקר ממומן ע"י משרד המדע והטכנולוגיה. האפליקציה אוספת מידע ראשוני ומתמשך שישמש לניתוח מידע (BIG DATA) ע"מ לחזות גורמים המשפיעים על תגובה לטיפול, הפוגות והתפרצויות של המחלה.
במסגרת המחקר אנו מגייסים משתתפים דרך עמותת ענבר לנפגעי מחלות ראומטיות , אוטואימוניות ודלקתיות https://lnkd.in/dzyaH4Fc ועמותת אס"ף לחולי פיברומיאלגיה ותסמונת התשישות הכרונית https://lnkd.in/dCVVDDNG.


הצטרפו למחקר RHEUMATIC MONITOR על מנת שתוכלי לקבל קוד משתמש לאפליקציה יש להירשם תחילה בקישור הבא 
https://lnkd.in/df_2Q-uJ

דרכו תקבלי במייל חוזר שם משתמש וסיסמא לאפליקציה 
 
לאחר מכן יש להוריד את האפליקציה בהתאם לסוג המכשיר הסלולרי בו אתם משתמשים 
אייפון: https://lnkd.in/dsZitAUd
אנדרואיד: https://lnkd.in/dwPwiX5s
יש להזין את שם המשתמש והסיסמא אותם קיבלת במייל ולהתחיל למלא את השאלון הראשוני.
#bigdata #medical #scienceandtechnology #research #android
#dataanalysis

This week, I was honored to present at the annual conference of “Asaf Association for Fibromyalgia and Chronic Fatigue Syndrome”.
I presented our findings from a study we conducted among patients with Fibromyalgia in Israel in collaboration with Asaf and Inbar associations. 
Following the lectures, I joined the expert panel to discuss important topics related to the management of fibromyalgia patients. The conference was a great success with a wonderful opportunity for clinicians, researchers, and patients to gather face-to-face. Special thanks to the organizers from Asaf and Inbar associations for the invitation and congratulations on the successful event! 
This is a part of our study "RheumaticMonitor", a new architecture for screening, monitoring, and analyzing the big data accumulating over time from rheumatic disease patients RheumaticMonitor is a collaborative effort between our Hadassa Medical centers the hebrew university jerusalem and Prof Yuval Shahar from Ben-Gurion University of the Negev granted by the Israeli Ministry of Science and Technology.
#medical #bigdata #collaboration #event #scienceandtechnology #university

Yesterday, I was honored to present our study "RheumaticMonitor", a new architecture for screening, monitoring, and analyzing the big data accumulating over time from rheumatic disease patients at the annual conference of the ILAMI - Israeli Association for Medical Informatics
RheumaticMonitor is a collaborative effort between our Hadassah Medical Center and Prof Yuval Shahar from Ben-Gurion University of the Negev sponsored by the Israeli Ministry of Science and Technology.
The conference was a great success with a wonderful opportunity for the medical information community to gather face-to-face. Special thanks to the organizers for the invitation and congratulations on the successful event! 
#scienceandtechnology #bigdata #event #medical

This week at "Hadassah Open House- Meet the KOLs" event.
It was a pleasure to present our digital health research projects at Hadassah and meet companies representatives interested in potential collaborations.
Thank you Eyal Mishani Eran Leitersdorf ARIE BEN YEHUDA
Yaniv Alon Levi Shapiro Masha Zavin Tamar Raz Ariel Rabin Olga Slutsky
The full program of the event:
https://lnkd.in/dJ_UTw2A

#event #innovation #data #digitalhealth #healthtech #startup #opportunity #research

Galit Almoznino

The Hebrew University of Jerusalem, Israel

Background: The etiology and risk factors for progression of many chronic pain conditions (CPC) are still unknown. Moreover, real-time patient`s monitoring remains a challenge.

Aim: To develop a new digital tool for monitoring and analyzing big data of CPC patients in order to discover predictive patterns for :exacerbation ,remission, and response to treatment.

Methods: We developed the Painscreen, a new web application that works on mobile and stationary devices, in order to collect data and monitor patients continuously.

Results: The framework creates and stores answers to baseline and daily questionnaires and sensor data (such as :sleep patterns, steps) .Painscreen supports application, to the integrated longitudinal data, of big temporal data mining methods to discover predictive patterns, and present analysis results to the doctor.

Conclusions: The painscreen will lead to a more comprehensive understanding of CPC from a big data base, and will lead to better personalized care of CPC patients.