Abstract: Compounds, systems, kits, methods, and/or apparatuses may be operative to reduce amyloid beta (A?) peptide in a patient, including a central nervous system (CNS) of the patient and/or a periphery (non-CNS portion) of the patient. In some embodiments, a displacer fluid comprising a A? displacer may be introduced to the patient to bind to a blood protein, such as albumin, that binds A? (for instance, A? peptide or non-plaque A?) in the patient periphery. Binding of the displacer to the blood protein may facilitate more free A? peptide (for instance, A? monomers) in the periphery for clearance via natural processes, such as through the liver or kidneys, and/or artificial processes, such as dialysis. Increased removal of the free A? peptide in the periphery may ultimately lead to less A? peptide in the CNS, which may decrease A? plaque formation in Alzheimer's Disease (AD) patients. Other embodiments are described.

Abstract: Techniques for monitoring intraperitoneal volume (IPV) during a dwell period of a peritoneal dialysis patient include monitoring intraperitoneal pressure (IPP) during the dwell period using a pressure sensor, monitoring the density of the dialysate during the dwell period, and determining a change in IPV based at least on a change in IPP and a change in the density of the dialysate during the dwell period.

Abstract: Systems, methods, and/or apparatuses may be operative to perform a dialysis process that includes a displacer infusion process. In one embodiment, a method for determining a displacer compound may include constructing a plurality of target protein quantitative structure-activity relationship (QSAR) models, one for each of the plurality of binding sites, analyzing a set of candidate compounds using the plurality of QSAR models to determine a set of at least one potential compound with an affinity for binding to each of the plurality of binding sites, and selecting at least one displacer compound from the set of at least one potential compound. Other embodiments are described.

Abstract: Systems, methods, and/or apparatuses may be operative to perform a dialysis process using RBV-based UF control. Embodiments may include methods operative to receive RBV target information comprising population-based dialysis data of real patient outcomes of a patient population associated with the patient, determine an RBV value of a patient during the dialysis process, and determine UF information to control a UF pump of the dialysis device to maintain the RBV value within a target RBV range defined by the RBV target information. Other embodiments are described.

Abstract: Methods, apparatuses, and systems for determining a peritoneal transport status classification of a patient based on mass analyzing low volumes of peritoneal dialysis (PD) effluent evaluated using PD effluent fingerprints of known transport statuses to determine a peritoneal transport status classification of the patient are described. In one example, a method includes obtaining a volume of PD effluent of the dialysis patient, generating patient information via mass analysis of the volume of PD effluent, and determining patient profile information based on evaluating the patient information with a profile library, the patient profile information comprising a peritoneal transport status classification.

Abstract: Methods, apparatuses, and systems for determining patient dialysis profiles, for example, of peritoneal transport status or disease progression, are described. For example, in one embodiment, a method of determining a patient profile of a dialysis patient may include obtaining a volume of fluid associated with the dialysis patient, generating patient information via fluorescence analysis of the patient fluid, and determining the patient profile based on evaluating the patient information with a profile library, the patient profile comprising at least one of a peritoneal transport status classification or a disease progression. Other embodiments are described.

Abstract: A dialysis access site system may operate to generate a treatment recommendation for treating a condition of an access site based on an image of the access site. The dialysis access site system may an apparatus having at least one processor and a memory coupled to the at least one processor. The memory may include instructions that, when executed by the at least one processor, may cause the at least one processor to receive an access site image comprising an image of a dialysis access site of a patient, determine access site information for the dialysis access site based on at least one access site feature determined from the access site image, the access site information indicating a condition of the dialysis access site, and determine a treatment recommendation for the dialysis access site based on the access site information.

Abstract: Exemplary systems and methods for estimating progression of chronic kidney disease in a patient and applying clinical interventions may include determining historic values of at least one patient parameter that varies as a function of the progression of the chronic kidney disease over time, and computationally estimating a trend corresponding to the historic values. Based on the trend, at least one marker may be automatically provided that identifies a clinical intervention and a time in the future when the clinical intervention is expected to be needed. Based on the at least one marker, clinical preparations may be executed at a time prior to the administration of the intervention in order to improve at least one of a) timeliness of the execution of the intervention and b) effectiveness of the intervention.

Abstract: Methods, apparatuses, and systems for determining patient dialysis profiles, for example, of peritoneal transport status or disease progression, are described. For example, in one embodiment, a method of determining a patient profile of a dialysis patient may include obtaining a volume of fluid associated with the dialysis patient, generating patient information via fluorescence analysis of the patient fluid, and determining the patient profile based on evaluating the patient information with a profile library, the patient profile comprising at least one of a peritoneal transport status classification or a disease progression. Other embodiments are described.

Abstract: Techniques for monitoring intraperitoneal volume (IPV) during a dwell period of a peritoneal dialysis patient include monitoring intraperitoneal pressure (IPP) during the dwell period using a pressure sensor, monitoring the density of the dialysate during the dwell period, and determining a change in IPV based at least on a change in IPP and a change in the density of the dialysate during the dwell period.

Abstract: Methods, apparatuses, and systems for determining a peritoneal transport status of a patient based on mass analyzing low volumes of peritoneal dialysis (PD) effluent to generate patient information that may be evaluated using PD effluent fingerprints to determine peritoneal transport characteristics of the patient are described. For example, in one embodiment, a method of determining a transport status of a dialysis patient may include obtaining a volume of peritoneal dialysis (PD) effluent of the dialysis patient, generating patient information via mass analysis of the volume of PD effluent, and determining patient profile information based on evaluating the patient information with a profile library, the patient profile information comprising a peritoneal transport status classification. Other embodiments are described.

Abstract: Methods, apparatuses, and systems for determining a peritoneal transport status of a patient based on mass analyzing low volumes of peritoneal dialysis (PD) effluent to generate patient information that may be evaluated using PD effluent fingerprints to determine peritoneal transport characteristics of the patient are described. For example, in one embodiment, a method of determining a transport status of a dialysis patient may include obtaining a volume of peritoneal dialysis (PD) effluent of the dialysis patient, generating patient information via mass analysis of the volume of PD effluent, and determining patient profile information based on evaluating the patient information with a profile library, the patient profile information comprising a peritoneal transport status classification. Other embodiments are described.

Abstract: An apparatus used in analyzing spent dialysate includes at least a first surface configured to accommodate a dialysate drain bag in a first predetermined position, and at least a second surface configured to accommodate a dialysate analysis device in a second predetermined position, such that when the dialysate drain bag is in the first predetermined position and the dialysate analysis device is in the second predetermined position, a light sensor of the dialysate analysis device is positioned to sense light passing through the dialysate drain bag.

Abstract: Techniques for patient population flow modeling are disclosed, where such modeling can provide insights for future trends among a patient population, e.g., to facilitate allocation of resources for the patient population or to inform treatment recommendations for patients. A flow model can be used on dialysis patient populations where the patients are grouped into a compartment according to a certain criterion (or given criteria), where each compartment corresponds to the number of patients in each group, and where the number of compartments can vary depending on the given criteria. A model can then be used to describe the transition rates between the different compartments, as well as influx and efflux within each compartment. Such a model can be used, by way of example, to investigate the impact of sodium-glucose co-transporter 2 (SGLT2) inhibitors on the population dynamics of end-stage renal disease patients.

Abstract: A method for mitigating the spread of infectious diseases among dialysis patients is provided. The method comprises: receiving, by a prediction system and from a medical facility, individual treatment data indicating dialysis treatment information associated with a patient undergoing dialysis treatment; receiving, by the prediction system and from a blood testing laboratory, individual lab data indicating blood analysis information associated with the patient; determining, by the prediction system, disease analysis results for the patient based on inputting the individual treatment data and the individual lab data into a disease prediction machine learning (ML) model, wherein the disease analysis results indicate a likelihood of the patient being infected with a contagious disease; and providing, by the prediction system and to the medical facility, instructions indicating one or more responsive actions based on the disease analysis results.

Abstract: The described technology may include processes to model acid-base homeostasis in normal patients and under acid-base disorder conditions. In one embodiment, a method may include an acid-base homeostasis analysis. The method may include, via a processor of a computing device: providing a physiological acid-base model configured to model acid-base homeostasis of a virtual patient, the physiological acid-base model to: determine a plurality of operating parameters for an HCO3/CO2 buffering system having renal and pulmonary regulatory mechanisms, determine acid-base information comprising a bicarbonate concentration, a carbon dioxide concentration, and a free hydrogen ions concentration via simulating the HCO3/CO2 buffering system, and determine predicted patient information based on the acid-base information. Other embodiments are described.

Abstract: Techniques for vascular access identification and validation are disclosed. The techniques include: directly or indirectly acquiring an acquired value for a parameter that is a function of oxygen saturation (SO2) of a sample of blood in or obtained from a vascular access device (VAD) disposed in a subject; performing an evaluation of the acquired value at least by comparing the acquired value with one or more reference values; and responsive to the evaluation of the acquired value, assigning an identity classification to the VAD, wherein the identity classification is one of a central venous catheter (CVC), an arteriovenous access device (AVA), or another class of VAD.

Abstract: An apparatus used in analyzing spent dialysate includes at least a first surface configured to accommodate a dialysate drain bag in a first predetermined position, and at least a second surface configured to accommodate a dialysate analysis device in a second predetermined position, such that when the dialysate drain bag is in the first predetermined position and the dialysate analysis device is in the second predetermined position, a light sensor of the dialysate analysis device is positioned to sense light passing through the dialysate drain bag.

Abstract: This disclosure teaches the generation of multiple recipes for patients with chronic kidney disease. The recipes are generated by application of a large language model to patient data, including both medical and preference data. The recipes are verified by a dietician and may be used to generate shopping lists and instructions for an automated food preparation device.

Abstract: Techniques and apparatus for generating, performing, and evaluating virtual clinical trials that include clinic modules to represent real-world operational aspects of trial entities are described. In one embodiment, for example, an apparatus may include at least one memory, and logic coupled to the at least one memory. The logic may be configured to generate a plurality of avatars configured to model a health condition associated with a population of patients, and to perform a virtual clinical trial to simulate a course of treatment for the plurality of avatars, the virtual clinical trial to include at least one clinic module associated with at least one event and a probability for the at least one event, the at least one event to model an operational aspect of an entity of the virtual clinical trial. Other embodiments are described.