Prototype system for AML digital twins

Active Project Grant Awarded Last action

Award ID
R01CA270210
Recipient
Awarding agency
Obligated
$9,089,548

Award facts

Assistance listing
93.394 Cancer Detection and Diagnosis Research
Completion date 76% complete
Place of performance
Seattle, WA 98109, USA

Award details come from USAspending.gov.

Description

Abstract
Conventional chemotherapy has reached its limits in treating acute myeloid leukemia (AML), the most common leukemia in adults. Many patients who receive intensive chemotherapy followed by allogeneic hematopoietic stem-cell transplant eventually relapse. Therapeutic results remain particularly dismal for relapsed or refractory and older patients, who are often unfit for intensive therapies. Several new therapy options with the potential to improve treatment outcomes have emerged, but they suffer from heterogeneity in responses and a lack of methods for identifying patients who might benefit from such therapies. New detailed simulations called digital twins are starting to be implemented in many sectors including engineering, manufacturing, and medicine. Digital twins are a simulation of a real-world system or object that allows for experimentation without real-world consequences. A patient oriented digital twin would simulate physiological response or disease and allow for outcome predictions following treatment. We propose to build a prototype of the 'AML digital twin' system (AML-DT), an interactive system to be used by doctors with their patients in which the patient's clinical and molecular data, collected from bone marrow aspirates and peripheral blood, will be used to instantiate a digital twin model of the patient's disease. The digital twin will enable the doctor and patient to explore personalized model-based predictions of drug response, using measurable outcomes in light of background knowledge generated from publicly available molecular data from AML patients. Importantly, the AML-DT system will continuously improve by learning from the experiences of patients and their digital twin models. The work, conducted jointly with clinician-scientists and computational researchers at the institute for systems biology, the university of helsinki, and tampere university will center on patient-specific drug sensitivity prediction of venetoclax in combination with azacitidine by integrating with an ongoing clinical trial, venex, that includes EX-vivo patient selection and molecular data generation from bone marrow aspirates from AML patients in finland. A prototype of the AML-DT system will be deployed at the midpoint of the 5-year project period, coinciding with the completion of the clinical trial. Following assessment of the prototype, further developments to the AML-DT will be carried out to accommodate other AML therapies and recommendations made by patient advocates and clinicians.

Transactions

Action Obligated Date
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Amendment $733,906
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Original award $733,906
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Subawards

Subrecipient Amount Awarded
Helsingin Yliopisto Support the development and validation of an acute myeloid leukemia (AML) digital twin prototype to predict treatment response and advance personalized… $72,373
Tampereen Korkeakoulusaatio SR We will build an ‘AML digital twin’ -- a clinical decision support system to aid doctors treating patients who have acute myeloid leukemia (AML). Overall, the… $17,160
Helsingin Yliopisto For more than a decade Dr. Caroline Heckman and her group have performed translational research studies on AML with the aim to improve and personalize AML… $80,528
Tampereen Korkeakoulusaatio SR We will build an ‘AML digital twin’ -- a clinical decision support system to aid doctors treating patients who have acute myeloid leukemia (AML). Overall, the… $17,160
Tampereen Korkeakoulusaatio SR We will build an ‘AML digital twin’ -- a clinical decision support system to aid doctors treating patients who have acute myeloid leukemia (AML).… $17,160
Helsingin Yliopisto For more than a decade Dr. Caroline Heckman and her group have performed translational research studies on AML with the aim to improve and personalize AML… $80,528

Quick answers

Who received award R01CA270210?

R01CA270210 was awarded to Institute For Systems Biology by National Cancer Institute (National Institutes of Health) on January 1, 2023.

How much is award R01CA270210 worth?

$9,089,548 has been obligated on R01CA270210.

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