Abstract: Apparatuses, systems, and methods for synthetic 3D digital microscopy image sets. A microscope captures a depth stack of a sample using a first labelling technique. A trained machine learning model generates a synthetic depth stack of images based on the imaged depth stack. The synthetic depth stack mimics the appearance of a second labelling technique, which is targeted to a tissue structure of interest. A segmentation mask is generated based on the synthetic depth stack. The machine learning model may be trained on depth stacks of samples prepared with both the first and the second labelling techniques.

Abstract: Embodiments discussed herein facilitate determining a diagnosis and/or prognosis for prostate cancer based at least in part on three-dimensional (3D) pathomic feature(s). One example embodiment comprises a computer-readable medium storing computer-executable instructions that, when executed, cause a processor to perform operations, comprising: accessing a three-dimensional (3D) optical image volume comprising a prostate gland of a patient; segmenting the prostate gland of the 3D optical image volume; extracting one or more features from the segmented prostate gland, wherein the one or more features comprise at least one 3D pathomic feature; and generating, via a model based at least on the one or more features, one or more of the following based at least on the extracted one or more features: a classification of the prostate gland as one of benign or malignant, a Gleason score associated with the prostate gland, or a prognosis for the patient.

Abstract: Systems and methods for automated assessment and monitoring of bodily fluids are disclosed. In one embodiment, a system for provisioning a treatment composition to a bladder of a patient includes: an irrigation bag that carries the treatment composition; a catheter configured for connecting the irrigation bag to the bladder; a flow regulator configured for controlling a flow of the treatment composition from the irrigation bag to the bladder; and a drainage bag in fluid communication with the bladder through a drainage tubing of the catheter. The drainage tubing is configured for draining urine from the bladder. The system also includes: a first sensor for detecting a first amount of the treatment composition in the irrigation bag; a second sensor for detecting a second amount of urine in the drainage bag; a third sensor for detecting a concentration of particles in the urine carried by the drainage bag; and a controller.