Abstract: Systems and methods for cell typing in accordance with embodiments of the invention are illustrated. One embodiment includes a cell typing system, including a processor, and a memory, the memory containing a cell typing application that configures the processor to obtain single cell ribonucleic acid sequencing (scRNA-seq) data generated from a single cell, generate a two-dimensional (2D) image includes a grid of pixels referred to as a GenoMap, where each pixel describes a gene-gene interaction based upon the scRNA-seq data, provide the 2D image to a convolutional neural network (CNN), obtain a cell classification of the single cell from the CNN, and provide the cell classification via a display.

Abstract: The disclosure provides a method, a system, an apparatus, and a computer program product for determining IFP, IFV, and fluid flow inside tumors. In one example, a method for estimating tumor parameters is disclosed. This method includes: (1) receiving image data from a tumor, (2) obtaining strain data of the tumor from the image data, and (3) determining a tumor parameter, such as IFP and IFV, employing the strain data and an analytical model. Additional tumor parameters can be determined employing the strain data and other analytical models. The additional tumor parameters include compression-induced fluid pressure, velocity and flow inside the tumor, parameter? employing the fluid pressure, the ratio between vascular permeability and interstitial permeability, and the ratio of peak IFP and effective vascular pressure. Each of these parameters can be employed for analyzing, monitoring, treating, testing, etc., tumors or the effects of drugs on the tumors.

Abstract: The disclosure provides a method, a system, an apparatus, and a computer program product for determining IFP, IFV, and fluid flow inside tumors. In one example, a method for estimating tumor parameters is disclosed. This method includes: (1) receiving image data from a tumor, (2) obtaining strain data of the tumor from the image data, and (3) determining a tumor parameter, such as IFP and IFV, employing the strain data and an analytical model. Additional tumor parameters can be determined employing the strain data and other analytical models. The additional tumor parameters include compression-induced fluid pressure, velocity and flow inside the tumor, parameter ? employing the fluid pressure, the ratio between vascular permeability and interstitial permeability, and the ratio of peak IFP and effective vascular pressure. Each of these parameters can be employed for analyzing, monitoring, treating, testing, etc., tumors or the effects of drugs on the tumors.