A dialyzer (15) includes a hollow fiber dialysis column (20), a liquid tubing section (12a), and a flow rate changing section (16a). The hollow fiber dialysis column (20) includes a hollow fiber membrane, a first flow channel that allows a dialysis target to flow internally of the hollow fiber membrane, and a second flow channel that allows an external liquid to flow externally of the hollow fiber membrane. The liquid tubing section (12a) tubes the dialysis target to an inlet (20a) of the first flow channel. The flow rate changing section (16a) is capable of changing a flow rate of the dialysis target at the dialysis target flowing out of an outlet (20b) of the first flow channel.

A dialyzer (15) includes a hollow fiber dialysis column (20), a liquid tubing section (12a), and a flow rate changing section (16a). The hollow fiber dialysis column (20) includes a hollow fiber membrane, a first flow channel that allows a dialysis target to flow internally of the hollow fiber membrane, and a second flow channel that allows an external liquid to flow externally of the hollow fiber membrane. The liquid tubing section (12a) tubes the dialysis target to an inlet (20a) of the first flow channel. The flow rate changing section (16a) is capable of changing a flow rate of the dialysis target at the dialysis target flowing out of an outlet (20b) of the first flow channel.

Methods and systems for processing suspensions of biological cells and microcarriers are disclosed. The biological cells are separated from the microcarriers by introducing the suspension into a spinning membrane separator whereby the biological cells pass through the membrane and the microcarriers do not pass through the membrane.

A dialysis machine includes a dialyzer (1), a dialysate feed system (5) having a feed line (52), and a discharge system (6) having a discharge line (62). The machine further includes ultrafiltration control elements (UF) and back-filtration control elements (RF). The feed line is provided with a constriction (520) and with elements for measuring the pressure difference (523, 524) across the terminals of the constriction. The feed system further includes a ventricle bag (50), and pressurizer elements (70) for putting the ventricle bag (50) under pressure. The machine further includes an open/close system (C5, C5′) for opening/closing the discharge line (62) and the back-filtration control elements cause the discharge line (62) to close, and control the pressure applied to the ventricle bag (50), as a function of the pressure difference measured across the terminals of the constriction (520), so as to obtain a given flow rate of dialysate.

A dialysis machine includes a dialyzer (1), a dialysate feed system (5) having a feed line (52), and a discharge system (6) having a discharge line (62). The machine further includes ultrafiltration control elements (UF) and back-filtration control elements (RF). The feed line is provided with a constriction (520) and with elements for measuring the pressure difference (523, 524) across the terminals of the constriction. The feed system further includes a ventricle bag (50), and pressurizer elements (70) for putting the ventricle bag (50) under pressure. The machine further includes an open/close system (C5, C5′) for opening/closing the discharge line (62) and the back-filtration control elements cause the discharge line (62) to close, and control the pressure applied to the ventricle bag (50), as a function of the pressure difference measured across the terminals of the constriction (520), so as to obtain a given flow rate of dialysate.

The invention comprises a control system for monitoring and operating an existing supply water pre-treatment system for supplying de-chlorinated water to dialysis purification systems. The invention includes a controller and an operator interface for programming and interacting with said control systems. The invention further includes an injection assembly having a flow turbine sensor, a reducing agent injector, and an ORP/pH sensor for monitoring and controlling ORP/pH levels of said supply water.

An apparatus for extracorporeal treatment of fluid and a process of setting up a medical apparatus for the delivery or collection of fluids are disclosed. According to the apparatus and the process, a control unit (10) is configured calculate set values of two or more of the fluid flow rates by imposing that an emptying time of containers of fresh fluid (16, 20, 21, 26) and/or a filling time of a waste container is substantially same as, or multiple of, the emptying time of one or more of the other containers of fresh fluid.

An apparatus for extracorporeal treatment of fluid and a process of setting up a medical apparatus for the delivery or collection of fluids are disclosed. According to the apparatus and the process, a control unit (10) is configured calculate set values of two or more of the fluid flow rates by imposing that an emptying time of containers of fresh fluid (16, 20, 21, 26) and/or a filling time of a waste container is substantially same as, or multiple of, the emptying time of one or more of the other containers of fresh fluid.

Constraining adaptive optimizations of a state of an operation module of a medical device includes determining if a new state has at least one operational parameter that is outside a constraint that has been provided to the medical device in a non-repudiable manner, accepting the new state if no operational parameters are outside any of the constraints, and reverting the medical device to a previous valid state if at least one operational parameter is outside at least one of the constraints. The adaptive optimizations may be provided using artificial intelligence along with relevant inputs thereto. The medical device may be a dialysis system. Constraint data may be provided to the medical device along with a one-way hash value of the constraint data using, for example, a SHA 256 hash. The one-way hash value may be digitally signed using a private key that is part of a public/private key pair.

Constraining adaptive optimizations of a state of an operation module of a medical device includes determining if a new state has at least one operational parameter that is outside a constraint that has been provided to the medical device in a non-repudiable manner, accepting the new state if no operational parameters are outside any of the constraints, and reverting the medical device to a previous valid state if at least one operational parameter is outside at least one of the constraints. The adaptive optimizations may be provided using artificial intelligence along with relevant inputs thereto. The medical device may be a dialysis system. Constraint data may be provided to the medical device along with a one-way hash value of the constraint data using, for example, a SHA 256 hash. The one-way hash value may be digitally signed using a private key that is part of a public/private key pair.