Abstract: The present invention pertains to novel treatments of neuropathic pain; in particular chemotherapy induced peripheral neuropathic pain (CIPNP). The invention provides antagonists cytochrome P450 epoxygenases (CYP), and more specifically antagonists of CYP2J2, as therapeutics for use in the treatment of neuropathic pain such as CIPNP. CYP2J2 antagonists were identified to alleviate CIPNP in-vivo, and therefore are provided additionally in combination with chemotherapeutics for the treatment of diseases such as cancer or other proliferative disorders. The CYP2J2 antagonists reduce chemotherapeutic induced pain and therefore allow for a higher dosing of the chemotherapeutic during cancer treatment. In addition the invention relates to the use of CYP2J2 agonists, or metabolites of CYP2J2, for sensitizing TRPV1.

Abstract: During an initial period of time, an HVAC controller stores a record of an energy demand of the HVAC system that corresponds to an amount of energy used to operate the HVAC system. For a future time period, an anticipated energy demand of the HVAC system is determined. The controller then recursively determines, for each of a plurality of time points within the future time period, an anticipated indoor humidity value using the anticipated energy demand and the record of the energy demand. The HVAC system is operated based at least in part on the anticipated indoor humidity value.

Abstract: During an initial period of time, an HVAC controller stores a record of an energy demand of the HVAC system that corresponds to an amount of energy used to operate the HVAC system. For a future time period, an anticipated energy demand of the HVAC system is determined. The controller then recursively determines, for each of a plurality of time points within the future time period, an anticipated indoor humidity value using the anticipated energy demand and the record of the energy demand. The HVAC system is operated based at least in part on the anticipated indoor humidity value.

Abstract: During an initial period of time, an HVAC controller receives an indoor humidity and an outdoor humidity. A record of an energy demand of the HVAC system is stored for each indoor humidity and outdoor humidity. For a future time period, an anticipated energy demand of the HVAC system is determined. The controller then recursively determines, for each of a plurality of time points within the future time period, an anticipated indoor humidity value using the anticipated energy demand and the record of the energy demand. The HVAC system is operated based at least in part on the anticipated indoor humidity value.

Abstract: First parameters of a variational Gaussian process (VGP) (including a positive-definite matrix-valued slack parameter) are initialized and iteratively modified change an objective function comprising an expected log-likelihood for each training data item under a respective Gaussian distribution with a predictive variance depending on the slack parameter. Modifying the first parameters comprises, for each training data item, determining a respective gradient estimator for the expected log-likelihood and modifying the first parameters in dependence on the determined gradient estimators. At an optimal value of the slack parameter, the slack parameter equals an inverse of a covariance matrix for the set of inducing variables, and the objective function corresponds to a variational lower bound of a marginal log-likelihood for a posterior distribution corresponding to the GP prior conditioned on the training data.

Abstract: The present invention relates to a mixing system for a bioreactor, comprising a plurality of supply units (10), each being able to hold media for use in a bioreactor a mixing unit (30) for creating a uniform mixing of media a first feeding mechanism (20), arranged to feed media from the supply units (10) into the mixing unit (30), a control unit (40) operatively connected to the first feeding mechanism (20) and the mixing unit (30), said control unit (40) being configured to control the first feeding mechanism (20) to feed predetermined amounts of media from the plurality of supply units (10) to the mixing unit (30), and further being configured to control the mixing unit (30) to create a uniform mixing of media. The invention also relates to a method for mixing media for use in a bioreactor.

Abstract: During an initial period of time, an HVAC controller receives an indoor humidity and an outdoor humidity. A record of an energy demand of the HVAC system is stored for each indoor humidity and outdoor humidity. For a future time period, an anticipated energy demand of the HVAC system is determined. The controller then recursively determines, for each of a plurality of time points within the future time period, an anticipated indoor humidity value using the anticipated energy demand and the record of the energy demand. The HVAC system is operated based at least in part on the anticipated indoor humidity value.

Abstract: Disclosed is a biomanufacturing apparatus (1) comprising a housing (20) including top (22) and bottom (24) faces which allow stacking of plural housings, an access door (25) at a front side of the housing, a substantially enclosed bioreactor chamber (30) inside the housing accessible via the door, and a further substantially enclosed region (36) inside the housing containing electrical parts and/or electronic control components, the chamber (30) including: a tray (40/240) for supporting a bioreactor, a tray support (45/245) including a mechanism (44,47/244,247) for rocking the tray in use; the tray having complementary formations allowing movement of tray relative to the tray support toward the front side to allow more convenient access to the bioreactor.

Abstract: A computer-implemented method of processing training data comprising a plurality of training data items to determine parameters of a Gaussian process (GP) model comprising a variational Gaussian process (VGP) corresponding to a GP prior conditioned and marginalized with respect to a set of randomly-distributed inducing variables includes initializing first parameters of the VGP including a positive-definite matrix-valued slack parameter, and iteratively modifying the first parameters to increase or decrease an objective function comprising an expected log-likelihood for each training data item under a respective Gaussian distribution with a predictive variance depending on the slack parameter. At each iteration, modifying the first parameters comprises, for each training data item, determining a respective gradient estimator for the expected log-likelihood using a respective one of a plurality of processor cores, and modifying the first parameters in dependence on the determined gradient estimators.

Abstract: Disclosed is biomanufacturing apparatus 1 comprising a housing 20 including top 22 and bottom 24 faces which allow stacking of plural housings, an access door 25 at a front side of the housing, a substantially enclosed bioreactor chamber 30 inside the housing accessible via the door, and a further substantially enclosed region 36 inside the housing containing electrical parts and/or electronic control components, the chamber 30 including: a tray 40 for supporting a bioreactor, a tray support 45 including a mechanism 44,47 for rocking the tray in use; the tray support further including a load cell (41) to determine changes in the mass load on the tray.

Abstract: Disclosed is biomanufacturing apparatus 1 comprising a housing 20 including top 22 and bottom 24 faces which allow stacking of plural housings, an access door 25 at a front side of the housing, a substantially enclosed bioreactor chamber 30 inside the housing accessible via the door, and a further substantially enclosed region 36 inside the housing containing electrical parts and/or electronic control components, the chamber 30 including: a tray 40 for supporting a bioreactor, a tray support 45 including a mechanism 44,47 for rocking the tray in use; at least a fluid handling portion 48,49 of at least one fluid pump device 54/58; and at least one connection 43 for connecting to a conduit and/or path for carrying fluids, gas and/or electricity.

Abstract: A reinforcement learning system comprises an environment (having multiple possible states), and agent, and a policy learner.. The agent is arranged to receive state information indicative of a current environment state and generate an action signal dependent on the state information and a policy associated with the agent, where the action signal is operable to cause an environment-state change. The agent is further arranged to generate experience data dependent on the state information and information conveyed by the action signal. The policy learner is configured to process the experience data in order to update the policy associated with the agent. The reinforcement learning system further comprises a probabilistic model arranged to generate, dependent on the current state of the environment, probabilistic data relating to future states of the environment, and the agent is further arranged to generate the action signal in dependence on the probabilistic data.

Abstract: The present invention relates to a novel bioreactor system for cell cultivation. More specifically, the invention relates to a compact bioreactor system which has several integrated functions and enables small scale static culture as well as scale-up rocking culture in the same bioreactor. The bioreactor system comprises tray for positioning of a cell culture bag having adjustable volume, a lid covering the cell culture bag and provided with heating function, an integrated perfusion unit, an integrated cell loading unit, and an integrated unit for automatic cell culture sampling, wherein the bioreactor system is controlled by a single control unit. The invention also relates to a method of cell culture using the bioreactor system for culture of therapeutic cells.

Abstract: A data processing system includes first memory circuitry arranged to store a dataset and second memory circuitry arranged to store a set of parameters of a statistical model. The system includes a sampler for transferring a sampled mini-batch of observation points from the first memory circuitry to the second memory circuitry, and an inference module arranged to determine, for each sampled observation point, an estimator for a component of a gradient component of an objective function. The system includes a recognition network module arranged to: process the sampled observation points using a recognition network to generate, for each sampled observation point, a respective set of control coefficients; and modify, for each sampled observation point, the respective estimator using the respective set of control coefficients. The inference module is arranged to update the parameters of the statistical model in accordance with a gradient estimate based on the modified stochastic estimators.

Abstract: The present invention provides a device and method for sampling from a cell culture bioreactor. The invention is useful where it is required to determine the cell count, provide a sample for off-line analyses or remove a sample while at the same time retain sterility of the sample for quality control (QC) assessment. The device of the invention allows for facile aseptic sampling at one or more instances in time during a cell expansion in a bioreactor.

Abstract: There is described a machine learning system comprising a first subsystem and a second subsystem remote from the first subsystem. The first subsystem comprises an environment having multiple possible states and a decision making subsystem comprising one or more agents. Each agent is arranged to receive state information indicative of a current state of the environment and to generate an action signal dependent on the received state information and a policy associated with that agent, the action signal being operable to cause a change in a state of the environment. Each agent is further arranged to generate experience data dependent on the received state information and information conveyed by the action signal. The first subsystem includes a first network interface configured to send said experience data to the second subsystem and to receive policy data from the second subsystem.

Abstract: A reinforcement learning system comprises an environment (having multiple possible states), and agent, and a policy learner.. The agent is arranged to receive state information indicative of a current environment state and generate an action signal dependent on the state information and a policy associated with the agent, where the action signal is operable to cause an environment-state change. The agent is further arranged to generate experience data dependent on the state information and information conveyed by the action signal. The policy learner is configured to process the experience data in order to update the policy associated with the agent. The reinforcement learning system further comprises a probabilistic model arranged to generate, dependent on the current state of the environment, probabilistic data relating to future states of the environment, and the agent is further arranged to generate the action signal in dependence on the probabilistic data.

Abstract: The present invention relates to a mixing system for a bioreactor, comprising a plurality of supply units (10), each being able to hold media for use in a bioreactor a mixing unit (30) for creating a uniform mixing of media a first feeding mechanism (20), arranged to feed media from the supply units (10) into the mixing unit (30), a control unit (40) operatively connected to the first feeding mechanism (20) and the mixing unit (30), said control unit (40) being configured to control the first feeding mechanism (20) to feed predetermined amounts of media from the plurality of supply units (10) to the mixing unit (30), and further being configured to control the mixing unit (30) to create a uniform mixing of media. The invention also relates to a method for mixing media for use in a bioreactor.

Abstract: A tray configured to be provided on a base station of a bioreactor system, said tray comprising a bottom and surrounding side walls and being configured to hold a bioreactor bag, said bottom comprising at least two bottom parts, whereof one is a middle part of the bottom, wherein at least one of the bottom parts is movable into at least a first and a second position, wherein said first position provides the bottom parts substantially flush with each other providing a substantially plane bottom of the tray and said second position provides a bottom of the tray having a recessed middle part.