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Selected Publications

For full Publications list look on google scholar:

https://scholar.google.co.il/citations?user=kiDmFw0AAAAJ&hl=en

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A predictive model for personalization of nanotechnology -based phototherapy in cancer treatment
 

Eli Varon*, Gaddi Blumrosen*, and Orit Shefi,  A predictive model for personalization of nanotechnology-based phototherapy in cancer treatment, January 2023, Frontiers in Oncology , DOI: 10.3389/fonc.2022.1037419​

A major challenge in radiation oncology is the prediction and optimization of clinical responses in a personalized manner. In this paper we bring new computational model and machine learning techniques to assess cancer treatment efficiency as function of the treatment setup. We model the effect of single and multiple treatments.

This research was performed in collaboration with Bar Ilan University

New way to understand animals behaviors by examining with simple video recording their facial and body expressions. Research was performed in NYU computational neuroscience department and presented in ICCV conference

Monitoring patient condition is important for many applications, in particular for monitoring elderly population, and neurological diseases patients at home settings while performing daily life activities. In this paper, in collaboration with Tel-Hahomer hospital, we showed how we can use for this simple Kinect camera

Advanced multi-mutation with intervention policies pandemic model

Lazebnik, Teddy, and Gaddi Blumrosen. "Advanced multi-mutation with intervention policies pandemic model." IEEE Access 10 (2022): 22769-22781.

During the Covid-19 Pandemic, we tried to join efforts and contribute to the general efforts by deploying enhanced modeling, immunological priors , and enhanced machine learning models to improve prediction of epidemiological parameters to assist policy makers in their decisions

New way of writing and communicating with your finger with smart pressure sensor, enhanced signal processing and machine learning techniques.

Research was performed in IBM research labs

Human body parts tracking and kinematic features assessment based on RSSI and inertial sensor measurements

G Blumrosen, A Luttwak, Human body parts tracking and kinematic features assessment based on RSSI and inertial sensor measurements, Sensors 2013 (9), 11289-11313

New way to enhance the accuracy of inertial sensors by using properties of radiation of the sensors. This enable to remove accumulating bias when the sensors are used on human body to assess his movement 

Enhancing Healthcare Quality with Reinforcement Learning Modeling

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Blumrosen, Gaddi. "Enhancing healthcare quality with reinforcement learning modeling." 2019 IEEE SENSORS. IEEE, 2019.

New way to enhance the accuracy of medical treatment by using reinforcment learning model and model two agents: human body natural agent, and medical treatment agent. This new model enable to revoltionize the medical world analytics and provide tools to predict treatment design and chances of success 

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