Abstract: An example method for quantitatively predicting a cancer patient's response to immune-based or targeted therapy and methods of treatment are described herein. In one aspect, disclosed herein are methods for assaying a cancer patient's response to immune-based or targeted therapy, comprising: measuring tumor burden, such as, measuring total metabolic tumor volume either manually or automatically, prior to administration of the immune-based or targeted therapy to create a baseline tumor burden; wherein a high baseline tumor burden indicates that the patient will have a decreased, less efficacious, and/or less durable response, response to immune-based or targeted therapy.

Abstract: Virtually every cancer patient is imaged with CT, PET or MRI. Importantly, such imaging reveals that tumors are complex and heterogeneous, often containing multiple habitats within them. Disclosed herein are methods for analyzing these images to infer cellular and molecular structure in each of these habitats. The methods can involve spatially superimposing two or more radiological images of the tumor sufficient to define regional habitat variations in two or more ecological dynamics in the tumor, and comparing the habitat variations to one or more controls to predict the severity of the tumor.

Abstract: The present invention concerns materials and methods for identifying and classifying pancreatic ductal adenocarcinoma (PDAC) precursors or intraductal papillary mucinous neoplasm (IPMN) using messenger RNAs, microRNAs, long non-coding RNAs, radiomic features, radiologic measures of abdominal/visceral obesity, and combinations thereof, as diagnostic markers for integration with clinical management and interventions for personalized care.

Abstract: Virtually every cancer patient is imaged with CT, PET or MRI. Importantly, such imaging reveals that tumors are complex and heterogeneous, often containing multiple habitats within them. Disclosed herein are methods for analyzing these images to infer cellular and molecular structure in each of these habitats. The methods can involve spatially superimposing two or more radiological images of the tumor sufficient to define regional habitat variations in two or more ecological dynamics in the tumor, and comparing the habitat variations to one or more controls to predict the severity of the tumor.

Abstract: Exposure to ionizing radiation can produce a well-defined dose dependent signature in terms of changes in gene expression. In approaches and devices described herein, such a signature can be used to generate and use a self-contained radiation biodosimeter device, based on, for example, a blood finger stick. Various aspects of the invention are directed to biodosimetry with a fully integrated biochip using gene expression signatures.

Abstract: Exposure to ionizing radiation can produce a well-defined dose dependent signature in terms of changes in gene expression. In approaches and devices described herein, such a signature can be used to generate and use a self-contained radiation biodosimeter device, based on, for example, a blood finger stick. Various aspects of the invention are directed to biodosimetry with a fully integrated biochip using gene expression signatures.

Abstract: Simulating a microarray includes defining a number of parameters. A microarray is generated according to the parameters using an imaging procedure. The microarray is compared to a known value, and the imaging procedure is evaluated in response to the comparison. A simulated microarray image can be generated based on parameters. The simulated microarray can be associated with known values. An imaging procedure is applied to the simulated microarray image to generate observed values. The known values (e.g., intensities) can be compared to the observed values to evaluate the imaging procedure.

Abstract: Simulating a microarray includes defining a number of parameters. A microarray is generated according to the parameters using an imaging procedure. The microarray is compared to a known value, and the imaging procedure is evaluated in response to the comparison. A simulated microarray image can be generated based on parameters. The simulated microarray can be associated with known values. An imaging procedure is applied to the simulated microarray image to generate observed values. The known values (e.g., intensities) can be compared to the observed values to evaluate the imaging procedure.