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Systems and methods for automated radiation treatment planning with decision support
Unmet Need Cancer is a leading cause of death worldwide, with almost 10 million deaths and over 19 million new cases in 2020. These numbers are expected to grow, with 28 million new cases estimated…
Systems and methods for learning and accumulating optimal strategies for radiation treatment planning
Unmet Need Cancer is a leading cause of death worldwide, with almost 10 million deaths and over 19 million new cases in 2020. These numbers are expected to grow, with 28 million new cases estimated…
System and method for training radiation treatment planners using knowledge-based models
Unmet Need Cancer is a leading cause of death worldwide, with almost 10 million deaths and over 19 million new cases in 2020. These numbers are expected to grow, with 28 million new cases estimated…
A method for treating JAK2 inhibitor resistant cancers
Unmet Need Myeloproliferative neoplasms (MPN) are a class of hematologic malignancies arising from hematopoietic progenitors and include diseases such as chronic myeloid leukemia (CML), polycythaemia vera (PV), essential thrombocythaemia (ET) and primary myelofibrosis (PMF). In…
A machine learning model to assess colorectal cancer risk using whole blood samples
Unmet Need Colorectal cancer is the third most commonly occurring cancer in men and the second in women. Early detection and treatment have contributed to an overall dropping of the death rate for several decades,…
Improving immune checkpoint blockade therapy by inhibiting ATM protein
Unmet Need The great enthusiasm for immune checkpoint blockade (ICB) therapy is justified by the spectacular, durable successes it has had in some previously difficult to treat cancers such as melanoma and lung cancer. However,…
Predicting immune checkpoint therapy for breast cancer patients using LRRK2 mutations
Unmet Need The treatment of various cancers has been revolutionized by the development of effective immunotherapies that are now established as powerful clinical tools. Unfortunately, it is also now well documented that only a minority…
A method for end-to-end spatial accuracy quality assurance for radiosurgery
Unmet Need Radiation therapy is an essential element of cancer treatment that benefits 4 million diagnosed patients every year. The ability to deliver complex three-dimensional distributions of dose that conform to even irregularly shaped lesions…
A system and method for planning radiosurgery treatments that can better target multiple tumors simultaneously
Unmet Need Brain metastases are the most common neurological complication of primary cancer and are estimated to occur in 9-17% of all cancer patients. Radiosurgery has become a standard treatment technique for brain metastases, which…
A method for treating cancer using HDAC10 inhibitors
Unmet Need Cancer remains the second leading cause of death in the United States. Lung cancer is is responsible for the most cancer deaths, while prostate and ovary cancers are also in the top ten.…
A method for validating complex radiation treatments using 3D dosimetry that can be implemented remotely
Unmet Need Radiation therapy is an essential element of cancer treatment that has been estimated to be potentially beneficial to 4 million diagnosed patients every year. The advent of commercially available magnetic resonance imaging guided…
An optical scanning system that reduces the planning cost associated with 3D dosimetry planning techniques
Unmet Need Radiation therapy is an essential element of cancer treatment that has been estimated to be potentially beneficial to 4 million diagnosed patients every year. Since the turn of the millennium, the sophistication, precision,…