Abstract: The invention generally relates to dosage regimes of anti-Cluster of Differentiation 73 (CD73) antibodies and/or anti-ectoenzyme ectonucleoside triphosphate diphosphohydrolase 2 (ENTPD2) antibodies, used in methods of treatment of cancer in a subject, as well as dosage regimes of anti-CD73 antibodies for use in treating cancer. The invention further generally relates to dosage regimes of combinations of agents, such as combinations comprising anti-CD73 antibodies and/or anti-ENTPD2 antibodies and at least one or more of a PD-1 inhibitor, and an adenosine A2AR antagonist.

Abstract: A system for objectively analyzing medical image data for the presence of diffuse white matter abnormalities (DWMA) is configured to identify and determine DWMA characteristics that are not visually apparent. As compared to subjective visual diagnosis, objectively determined DWMA characteristics may be automatically compared to each other, and may be compared to and associated with various scales, evaluations, or other assessment criteria used to measure aspects of infant development. As a result, the disclosed system may objectively determine an impact that objectively determined DWMA characteristics will have on one or more developmental scales, which can be expressed as a time deficit, score deficit, or other value indicative of development deficits.

Abstract: A system for objectively analyzing medical image data for the presence of diffuse white matter abnormalities (DWMA) is configured to identify and determine DWMA characteristics that are not visually apparent. As compared to subjective visual diagnosis, objectively determined DWMA characteristics may be automatically compared to each other, and may be compared to and associated with various scales, evaluations, or other assessment criteria used to measure aspects of infant development. As a result, the disclosed system may objectively determine an impact that objectively determined DWMA characteristics will have on one or more developmental scales, which can be expressed as a time deficit, score deficit, or other value indicative of development deficits.

Abstract: Techniques for optimizing a magnetic resonance imaging (MRI) protocols are described herein. An example method can include receiving one or more MRI scanner settings for an imaging sequence; selecting at least one objective function from a plurality of objective functions; selecting an acquisition train length; selecting a k-space strategy; selecting one or more imaging parameters; and acquiring a magnetic resonance (MR) image using at least one of an optimized k-space strategy, an optimized acquisition train length, or optimized imaging parameters.

Abstract: Techniques for optimizing a magnetic resonance imaging (MRI) protocols are described herein. An example method can include receiving one or more MRI scanner settings for an imaging sequence; selecting at least one objective function from a plurality of objective functions; selecting an acquisition train length; selecting a k-space strategy; selecting one or more imaging parameters; and acquiring a magnetic resonance (MR) image using at least one of an optimized k-space strategy, an optimized acquisition train length, or optimized imaging parameters.