The Cleveland Clinic Foundation

Dana-farber-cancer Institute Inc.

The Broad Institute, Inc.

Harvard College

Siemens Healthcare Gmbh

The Brigham and Women's Hospital, Inc.

Siemens Healthineers Ag

Mohamed Abazeed

Matthew Meyerson

Drew Adams

Ali Kamen

Bin Lou

Lance Anthony Ladic

Andreas Emanuel Posch

Jens-Christoph Georgi

Nilesh Mistry

Andreas Kappel

Matthias Siebert

Heike Wehner

Carsten Dietrich

For decision support in a medical therapy, machine learning provides a machine-learned generator for generating a prediction of outcome for therapy personalized to a patient. The outcome prediction may be used to determine dose. To assist in decision support, a regression analysis of the cohort used for machine training relates the outcome from the machine-learned generator to the dose and an actual control time (e.g., time-to-event). The dose that minimizes side effects while minimizing risk of failure to a time for any given patient is determined from the outcome for that patient and a calibration from the regression analysis.

Decision support system for individualizing radiotherapy dose

A method of treating a subject who has been diagnosed with cancer is described. The method includes characterizing the radiation-susceptibility of the subject by detecting a mutation in an NRF2 pathway protein in suitable sample obtained from the subject and treating the subject with radiation therapy if the subject is characterized as being radiation-susceptible, or treating the subject with radiation therapy and a radiosensitizing agent if the subject is characterized as being radioresistant. A method of determining if a subject has a history of tobacco smoking is also described that includes analyzing an NRF2 pathway protein to determine if a mutation is present in suitable sample obtained from the subject and characterizing the subject as having a history of tobacco smoking if a genetic fingerprint consistent with tobacco exposure is identified.

Genospecific radiosensitization

The invention provides for the use of radiation sensitizing agents in combination with radiation for the treatment of neoplasia, methods for the identification of genotype-specific radiation sensitizing agents, and methods of identifying patients who could benefit from therapy with a genotype-specific radiation sensitizing agent.

Compositions and methods for sensitizing a neoplastic cell to radiation

Provided herein are compositions, systems, kits, and methods for treating cancer in a subject with androgen receptor positive cancer cells by sensitizing such cancer cells with anti-androgen receptor therapy (e.g., Enzalutamide or anti-androgen antibody), and then treating with radiation therapy.

Anti-ar agent and radiation therapy for androgen receptor positive cancer

Growing community of inventors

Cleveland, OH, United States of America

Mohamed Abazeed