Abstract: The present teachings generally include devices, systems, methods, and computer-program products for determining a fluid status of patients using bioimpedance measurements and the like. In general, aspects of the present teachings may include one or more of: an eight-point electrode bioimpedance device including two (wired or wireless) handles with integrated sensors to measure distance, e.g., so that body height and segmental length can be measured; techniques to determine the fluid status of a patient from bioimpedance measurements of the patient's legs; improved techniques for determining fluid overload (or otherwise determining fluid status) using a ratio of extracellular volume (ECV) to total body water (TBW); and using body segmental resistances to determine fluid status and/or fluid volume.

Abstract: Techniques for real-time intradialytic hypotension (IDH) prediction are disclosed. A system obtains historical hemodialysis treatment data that is segmented into sets of machine learning training data based on temporal proximities to IDH events and trains a machine learning model to predict IDH events based on the sets of machine learning training data.

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.

Abstract: Techniques for monitoring fluid volumes during peritoneal analysis include: computing lower abdominal fluid volumes, continuously during a dwell time of a peritoneal dialysis treatment, based at least on bioimpedance data from electrodes positioned on a patient's upper thighs; and computing intraperitoneal volumes, continuously during the dwell time of the peritoneal dialysis treatment, based at least on bioimpedance data from the electrodes positioned on the patient's upper thighs and electrodes positioned on the patient's torso.

Abstract: An apparatus used in analyzing spent dialysate includes: at least one surface configured to accommodate a dialysate drain bag or drain line in a predetermined position; a light source positioned to emit light through the dialysate drain bag or drain line; and a light sensor positioned to sense light emitted by the light source through the dialysate drain bag or drain line.

Abstract: A method for detecting occult hemorrhages is provided. The method includes obtaining a first hematocrit concentration prior to infusing a saline solution into a bloodstream of a patient. The method further includes infusing the saline solution into the bloodstream of the patient and obtaining a second hematocrit concentration after infusing the saline solution into the bloodstream. The method also includes determining a first absolute blood volume based on the first hematocrit concentration and the second hematocrit concentration. In addition, the method includes generating a notification indicating a potential occult hemorrhage based on the first absolute blood volume and a pre-defined absolute blood volume threshold, and providing the notification indicating the potential occult hemorrhage.

Abstract: Techniques for monitoring fluid volumes during peritoneal analysis include: computing lower abdominal fluid volumes, continuously during a dwell time of a peritoneal dialysis treatment, based at least on bioimpedance data from electrodes positioned on a patient's upper thighs; and computing intraperitoneal volumes, continuously during the dwell time of the peritoneal dialysis treatment, based at least on bioimpedance data from the electrodes positioned on the patient's upper thighs and electrodes positioned on the patient's torso.

Abstract: A computing system for determining a systematic training strategy for the user is provided. The computing system includes a user device that uses one or more sensors to obtain partial pressure of oxygen (PO2) levels of a user over a period of time. The user device provides previous PO2 levels to a personalized erythropoiesis model generation computing platform. The computing platform obtains individualized user data for the user indicating or more previous hematocrit and/or hemoglobin measurements for the user. The computing platform determines an individualized erythropoiesis model for the user based on the one or more previous hematocrit and/or hemoglobin measurements and the previous PO2 information, and employs the individualized erythropoiesis model to determine predicted hematocrit and/or hemoglobin measurements. The computing platform performs one or more actions based on the one or more predicted hematocrit and/or hemoglobin measurements.

Abstract: Techniques for real-time intradialytic hypotension (IDH) prediction are disclosed. A system obtains historical hemodialysis treatment data that is segmented into sets of machine learning training data based on temporal proximities to IDH events and trains a machine learning model to predict IDH events based on the sets of machine learning training data.

Abstract: An apparatus used in analyzing spent dialysate includes: at least one surface configured to accommodate a dialysate drain bag or drain line in a predetermined position; a light source positioned to emit light through the dialysate drain bag or drain line; and a light sensor positioned to sense light emitted by the light source through the dialysate drain bag or drain line.

Abstract: The present disclosure relates to a medical functional device or arrangement of components having a first blood circuit for extracorporally withdrawing and reintroducing blood from and to a patient (P), and a second blood circuit for extracorporally withdrawing and reintroducing blood from and to a person (D), wherein both the first blood circuit and the second blood circuit each comprise an arterial line and a venous line. In this, the medical functional device, or the arrangement, comprises at least one connecting device for establishing a fluid communication between the arterial line of the first blood circuit for the patient (P) with the venous line (73) of the second blood circuit for the person (D) and for establishing a fluid communication between the arterial line of the second blood circuit for the person (D) with the venous line of the first blood circuit for the patient (P).

Abstract: A method for determining a next hypoxia-inducible factor prolyl hydroxylase inhibitor (HIF-PHI) dosage for a first patient using a patient HIF-PHI model is provided. The method includes obtaining population patient data indicating HIF-PHI dosages and hemoglobin measurements for the patients. Then, virtual patient avatars are generated based on the population patient data. Each of the virtual patient avatars indicates a set of personalized model parameters for a HIF-PHI model. A plurality of HIF-PHI models are determined for the virtual patient avatars. Using the HIF-PHI models, one or more HIF-PHI treatment schemes for administering the HIF-PHI dosages is determined. Subsequently, the HIF-PHI treatment schemes along with a hematocrit and/or hemoglobin concentration for a patient are used to determine a next HIF-PHI dosage for the patient, and the next HIF-PHI dosage is administered for the patient.

Abstract: A computing system for determining a systematic training strategy for the user is provided. The computing system includes a user device that uses one or more sensors to obtain partial pressure of oxygen (PO2) levels of a user over a period of time. The user device provides previous PO2 levels to a personalized erythropoiesis model generation computing platform. The computing platform obtains individualized user data for the user indicating or more previous hematocrit and/or hemoglobin measurements for the user. The computing platform determines an individualized erythropoiesis model for the user based on the one or more previous hematocrit and/or hemoglobin measurements and the previous PO2 information, and employs the individualized erythropoiesis model to determine predicted hematocrit and/or hemoglobin measurements. The computing platform performs one or more actions based on the one or more predicted hematocrit and/or hemoglobin measurements.

Abstract: Systems, methods, and/or apparatuses may be operative to perform a dialysis process that includes a displacer infusion process. The dialysis machine may include at least one processor and a memory coupled to the at least one processor, the memory comprising instructions that, when executed by the processor, may cause the at least one processor to access dialysis information for a dialysis process performed by a dialysis machine, the dialysis information indicating a target substance to be displaced from a binding compound by a displacer, and determine an infusion profile for infusing the displacer into a patient during a displacer infusion process of the dialysis process, the infusion profile determined based on the dialysis information and an infusion constraint. Other embodiments are described.

Abstract: The present teachings include analyzing oxygen saturation levels sensed during a hemodialysis treatment for a patient to determine whether the patient has a medical condition based on hypoxemia, apnea, or the like experienced during the treatment. To this end, the present teachings may include the use of a machine-learning algorithm trained to identify a presence of a high-frequency intermittent pattern that would be formed in a plot of the oxygen saturation levels, e.g., to determine a severity of respiratory instability experienced. The present teaching may also or instead include a time-series analysis including at least one of: (i) calculating recurrence-based quantification, such as, but not limited to, recurrence rate, determinism, and laminarity; (ii) calculating the optimal recurrence threshold based on maximum variations of the system's determinism and degree of predictability; and (iii) calculating complexity-based measures such as permutation entropy.

Abstract: A method includes: receiving measurements of a blood-related parameter corresponding to a patient undergoing hemodialysis; estimating a value of one or more hemodialysis treatment-related parameters by applying a vascular refill model based on the received measurements of the blood-related parameter, wherein the one or more hemodialysis treatment-related parameters are indicative of an effect of vascular refill on the patient caused by the hemodialysis; determining, based on the one or more estimated values of the one or more hemodialysis treatment-related parameters, a hemodialysis treatment-related operation; and facilitating performance of the treatment-related operation. The vascular refill model is a two-compartment model based on a first compartment corresponding to blood plasma in the patient's body, a second compartment based on interstitial fluid in the patient's body, and a semi-permeable membrane separating the first compartment and the second compartment.

Abstract: The present teachings generally include parabiotic dialysis systems and techniques. For example, the present disclosure includes parabiotic liver dialysis, e.g., for use in settings with limited resources. To this end, a parabiotic liver dialysis system may include a device having a semipermeable membrane with an average pore size that allows for the passage of albumin therethrough. In such a system, a first extracorporeal circuit may connect the device to the vascular system of a first animal (e.g., a liver patient), and a second extracorporeal circuit may connect the device to the vascular system of a second animal (e.g., a human with normal liver function), where the exchange of albumin therebetween is facilitated through the device. The present disclosure also includes various safety measures for parabiotic dialysis systems and techniques, such as biometric verification systems and techniques.

Abstract: The described technology may include treatment processes to increase the red blood cell (RBC) population of individuals, particularly chronic kidney disease (CKD) patients with renal anemia, by reducing an amount of Piezo1 chemical agonists in the blood of patients. In one embodiment, a method of treating a patient with renal anemia may include increasing RBC lifespan of an RBC population of the patient via reduction of a Piezo1 channel activation duration of at least a portion of the RBC population by reducing an amount of a target uremic compound in the blood of the patient, the target uremic compound having a form that prolongs the Piezo1 channel activation duration, wherein the amount of the target uremic compound may be reduced via selectively removing at least a portion of the target uremic compound from the blood of the patient. Other embodiments are described.

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 process. The method may include, via a processor of a computing device, providing an acid-base model configured to model acid-base homeostasis of a patient, the acid-base model comprising a patient model, a dialyzer model, and an extracorporeal CO2 removal device (ECCO2RD), and determining predicted patient information using the acid-base model. Other embodiments are described.

Abstract: Systems and methods for the image-based determination of the fluid status of a patient are described. In one example, an apparatus may include 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 image that may include at least one image of a portion of a patient, determine fluid status information for the patient by processing the image via a trained computational model, the trained computational model trained based on at least one training image of the patient and a corresponding physical measurement of fluid status, the fluid status information indicating a current fluid status of the patient, and determine a treatment recommendation for the patient based on the fluid status information. Other embodiments are described.