429 results about "Optimal treatment" patented technology

The method of the present invention derives the illness probability of any selected person from a database of people stored in a computer and / or on a computer network using collected relational data from every person in the database, including whether a person has a contact relationship with another person in said database and utilizes a database of illnesses infection probability functions given different illnesses and states of nature including data relating to social relationship; type of disease; probability function of infection given a time unit; length of contact of the particular contact relationship link; and calculates at least one relational path between said person and each person in the data base with whom there is a contact relationship, direct or via other persons in the said database for deriving the illness probability of the selected person. In addition. the method of the present invention permits selecting the optimum treatment for a patient with an infectious disease based upon recommending a drug or drugs deemed optimum for treating the patient and permits generating alerts for the detection of emergency events such as the outbreak of an infectious disease or a biological, chemical or nuclear attack and for diseases management. Moreover, in accordance with the method of the present invention a given patient may compare his or her medical record with summary information of patients with similar defined criteria.

A medical digital expert system to predict a patient's response to a variety of treatments (using pre-treatment information) is described. The system utilizes data fusion, advanced signal / information processing and machine learning / inference methodologies and technologies to integrate and explore diverse sets of attributes, parameters and information that are available to select the optimal treatment choice for an individual or for a subset of individuals suffering from any illness or disease including psychiatric, mental or neurological disorders and illnesses. The methodology and system can also be used to determine or confirm medical diagnosis, estimate the level, index, severity or critical medical parameters of the illness or condition, or provide a list of likely diagnoses for an individual suffering / experiencing any illness, disorder or condition.

A system and a method for scheduling an emergency procedure in response to detecting that a patient has a high probability of acute myocardial infarction. The system is able to identify patients that are suspected of having acute myocardial infarction (or acute ischemia). The system uses one or more expert software tools or algorithms to analyze received ECG records. Each software tool has logic (e.g., thresholds and / or settings) for automatic routing which is configurable by the customer via a graphical user interface. If any sufficient condition for automatic routing is satisfied, the system routes the data (including the underlying ECG record) and an alert to an electronic device which is accessible by the cardiologist “on call” via a bidirectional pager. If the cardiologist decides that the requested emergency treatment or procedure should be performed, the system accesses the schedules of all associated catheterization labs across multiple hospitals to identify a lab having optimum time-to-treatment. Then the system automatically contacts the selected catheterization lab via a network to schedule the PTCA procedure.

The ultrasound therapeutic system of the present invention generally includes a generator unit, at least one transducer treatment head, and a programmable controller. The generator is in operable communication with the at least one transducer treatment head such that electric power outputted from the generator to the head is converted into acoustic power by the head. Re-programmable software at the controller generally controls all features and functions for the system. In particular, the controller calculates an initial optimal treatment dose, maintains effective acoustic power transmitted to the patient through the at least one treatment head, performs calibration procedures for the at least one treatment head, controls outputting for each supported treatment mode, and provides for various other features and functions.

A method for designing acid treatments provides for the selection of optimal treatment for well stimulation wherein reservoir characteristics are obtained to further select the reaction kinetic data on the minerals of interests, the treatment to the reservoir is scaled up using a mathematical model and real time damage are computed based on bottomhole pressure and injection rate and compared to that predicted by the mathematical model to adjust the treatment. The model generated facilitates optimization of matrix treatments by providing a rapid quantitative evaluation of various treatment strategies for a formation. Stimulation with non-traditional fluid recipes containing mixtures of inorganic and organic acids, and chelating agents can be readily computed. The computed values can then be used in an economic model to justify the additional costs associated with the use of the non-traditional fluids. Apart from optimizing matrix treatments, the method can be used as a development tool for new fluid systems, as a tool for prediction and removal of inorganic scale and for fluid compatibility testing such as that required in water flooding projects.

An apparatus and method for automatically generating radiation treatment planning parameters are disclosed. In accordance with the illustrative embodiment, a database is constructed that stores: (i) patient data and past treatment plans by expert human planners for these patients, and (ii) optimal treatment plans that are generated using multi-objective optimization and Pareto front search and that represent the best tradeoff opportunities of the patient case, and a predictive model (e.g., a neural network, a decision tree, a support vector machine [SVM], etc.) is then trained via a learning algorithm on a plurality of input / output mappings derived from the contents of the database. During training, the predictive model is trained to identify and infer patterns in the treatment plan data through a process of generalization. Once trained, the predictive model can then be used to automatically generate radiation treatment planning parameters for new patients.

A patient treatment method is provided. In one embodiment, the method includes inputting physiological data of a patient into a computer model that is configured to simulate a physiological activity of the patient. The method may also include operating the computer model for each of a plurality of potential treatment options to generate a plurality of personalized modeled results based at least in part on simulated effects of each potential treatment option on the physiological activity. Additionally, the method may include selecting an optimal treatment option from the plurality of potential treatment options based at least in part on the plurality of personalized modeled results, developing a personalized treatment plan comprising the optimal treatment option, and treating the patient based at least in part on the personalized treatment plan. Other methods, systems, and computer-readable media are also disclosed.

Devices, systems, and methods for diagnosing physiological parameters of the lungs and treating associated medical conditions are disclosed herein. In particular, certain embodiments permit detection of air flow in lung passageways, air leaks, gas concentration (in particular oxygen), and temperature measurements. Measurements obtained using the devices, systems, and methods disclosed herein may also be used to determine optimal treatment sites for medical conditions such as emphysema, COPD, or lung volume reduction.

The present disclosure relates to an electronic therapy device including automatic controlled application of energies along with feedback control using sensors for improved synergistic effects and further the device is configured to be used for longer periods of time for improved and optimal therapeutic results without causing any adverse effects, the device can be used for pain management, healing, fitness, cosmetic and topical delivery related applications and a method for performing electronic therapy using the said portable electronic device.

An improved system for screening a multiple of candidate therapeutic or chemotherapeutic agents for efficacy as to a specific patient, in which a tissue sample from the patient is harvested, cultured and separately exposed to a plurality of treatments and / or therapeutic agents for the purpose of objectively identifying the best treatment or agent for the particular patient. Specific method innovations such as tissue sample preparation techniques render this method practically as well as theoretically useful. One particularly important tissue sample preparation technique is the initial preparation of cohesive multicellular particulates of the tissue sample, rather than enzymatically dissociated cell suspensions or preparations, for initial tissue culture monolayer preparation. With respect to the culturing of malignant cells, for example, it is believed (without any intention of being bound by the theory) that by maintaining the malignant cells within a multicellular particulate of the originating tissue, growth of the malignant cells themselves is facilitated versus the overgrowth of fibroblasts or other cells which tends to occur when suspended tumor cells are grown in culture. Practical monolayers of cells may thus be formed to enable meaningful screening of a plurality of treatments and / or agents. Growth of cells is monitored to ascertain the time to initiate the assay and to determine the growth rate of the cultured cells; sequence and timing of drug addition is also monitored and optimized. By subjecting uniform samples of cells to a wide variety of active agents (and concentrations thereof), the most promising agent and concentration for treatment of a particular patient can be determined. For assays concerning cancer treatment, a two-stage evaluation is contemplated in which both acute cytotoxic and longer term inhibitory effect of a given anti-cancer agent are investigated.

The present invention involves a system and method of providing decision support for assisting medical treatment decision-making. A patient agent software module processes information about a particular patient. A doctor agent software module processes information about a health status of a particular patient, beliefs relating to patient treatments, and the actual effects of treatment decisions. By filtering information over time from the patient agent into the doctor agent, a plurality of decision-outcome nodes are created and formed into a patient-specific outcome tree with the plurality of decision-outcome nodes. An optimal treatment is determined by evaluating the plurality of decision-outcome nodes with a cost per unit change function to output the optimal treatment. When additional information is available from at least one of the patient agent and the doctor agent, the filtering, creating, and determining steps are repeated thus allowing for the system to “reason over time”, continuously updating and learning as new information is received.

A medical digital expert system to predict a patient's response to a variety of treatments (using pre-treatment information) is described. The system utilizes data fusion, advanced signal / information processing and machine learning / inference methodologies and technologies to integrate and explore diverse sets of attributes, parameters and information that are available to select the optimal treatment choice for an individual or for a subset of individuals suffering from any illness or disease including psychiatric, mental or neurological disorders and illnesses. The methodology and system can also be used to determine or confirm medical diagnosis, estimate the level, index, severity or critical medical parameters of the illness or condition, or provide a list of likely diagnoses for an individual suffering / experiencing any illness, disorder or condition.

A digital computer system stratifies in a set of patients, based on a set of observations. The observations can include physical, biochemical, histological, genetic, and gene-expression data, among other types of information. Adjustments can be made to account for the possibility that observations of several patients may begin at different points in the progression of their respective disease processes. Once these adjustments are made, the data are subjected to a statistical cluster analysis. Each cluster of patients potentially represents a different disease stratum, with its own underlying cause, optimum therapy, and prognosis. Once the strata are defined and patients are assigned to them, adjustments to the data can be refined. The cluster analysis then can be repeated, and so an iterative process of stratification and staging takes place.

The invention discloses an intelligent distribution network reconstruction method concerning a distributed power generation and energy storage unit. The method comprises the following steps: building a multi-target multi-constraint mathematical model for distribution network reconstruction, encoding control variables in the model, then adopting the improved NSGA-II (Nondominated Sorting Genetic Algorithm II) for solution, repeatedly calling a three-phase load flow calculation module in the calculation process, decoding individuals of all generations of population in the NSGA-II, conducting three-phase load flow calculation to the decoded network reconstruction schemes to further obtain the adaptation degree of all the network reconstruction schemes, and feeding back to the NSGA-II for optimal treatment. The multi-target multi-constraint mathematical model built in the invention can simultaneously concern the influences of the distributed power supply and energy storage unit; the adopted multi-supply three-phase forward-backward sweep method can well put the three-phase unbalance characteristic of the distribution network into consideration, and is high in computing speed; the quick NSGA with the out-of-limit rejection strategy can avoid weight setting blindness, can promptly eliminate infeasible solution and is high in computational efficiency.

Frequent monitoring of early-stage burns is necessary for deciding optimal treatment and management. Superficial-partial thickness and deep-partial thickness burns, while visually similar, differ dramatically in terms of clinical treatment and are known to progress in severity over time. The disclosed method uses spatial frequency domain imaging (SFDI) far noninvasively mapping quantitative changes in chromophore and optical properties that may be an indicative of burn wound severity. A controlled protocol of graded burn severity is developed and applied to 17 rats. SFDI data is acquired at multiple near-infrared wavelengths over a course of 3 h. Burn severity is verified using hematoxylin and eosin histology. Changes in water concentration (edema), deoxygenated hemoglobin concentration, and optical scattering (tissue denaturation) are statistically significant measures, which are used to differentiate superficial partial-thickness burns from deep-partial thickness burns.

The invention relates to a clinic path information system, which comprises a database, a path management terminal and a medical nursing terminal, wherein the path management terminal and the medical nursing terminal carry out data interaction with the database by a hospital information network; standard clinic path lists and an example implement library are stored in the database; and the path management terminal is used for managing and maintaining the standard clinic path lists. When a practical case is diagnosed and treated in a specific department, the medical nursing terminal collects the diagnosis and treatment data, and the disease type of the practical case is determined by the diagnosis and treatment data, thus the corresponding standard clinic path is introduced to the medical nursing terminal to carry out guided diagnosis and treatment and realize example implementation on the standard clinic path; and at the same time, in the guided diagnosis and treatment process, the implementation condition and implementation result can be recorded in real time, the diagnosis and treatment scheme of the practical case is dynamically determined, and the practical case is led to be the standard clinic path of the disease type, so that optimal treatment on the practical case is realized.

A method and system for tumor ablation planning and guidance based on a patient-specific model of liver tumor ablation is disclosed. A patient-specific anatomical model of the liver and circulatory system of the liver is estimated from 3D medical image data of a patient. Blood flow in the liver and the circulatory system of the liver is simulated based on the patient-specific anatomical model. Heat diffusion due to ablation is simulated based on a virtual ablation probe position and the simulated blood flow in the liver and the venous system of the liver. Cellular necrosis in the liver is simulated based on the simulated heat diffusion. A visualization of a simulated necrosis region is generated and displayed to the user for decision making and optimal therapy planning and guidance.

A method for designing acid treatments provides for the selection of optimal treatment for well stimulation wherein reservoir characteristics are obtained to further select the reaction kinetic data on the minerals of interests, the treatment to the reservoir is scaled up using a mathematical model and real time damage are computed based on bottomhole pressure and injection rate and compared to that predicted by the mathematical model to adjust the treatment. The model generated facilitates optimization of matrix treatments by providing a rapid quantitative evaluation of various treatment strategies for a formation. Stimulation with non-traditional fluid recipes containing mixtures of inorganic and organic acids, and chelating agents can be readily computed. The computed values can then be used in an economic model to justify the additional costs associated with the use of the non-traditional fluids. Apart from optimizing matrix treatments, the method can be used as a development tool for new fluid systems, as a tool for prediction and removal of inorganic scale and for fluid compatibility testing such as that required in water flooding projects.

A radiation therapy patient couch top which provides optimal fields of treatment in a high-energy radiation therapy environment. In addition, the patient couch top provides superior imaging qualities when used in a diagnostic imaging x-ray environment. All metal is eliminated from the treatment / imaging area. This ensures that no metal will be in the way of the radiation treatment beam and that no artifacting will occur when used with diagnostic imaging techniques such as Computed Tomography. By employing moveable fiber reinforced support beams, the main patient support structure can be positioned so that a minimum of electron generation will occur through Compton scattering. By allowing for a removable insert, the top patient surface can be optimized for treatment, diagnostic imaging or the addition of other useful features. The novel design of these inserts allows the tip end of the beams to be free from any cross members, further improving the imaging and treatment qualities of the resulting patient couch top. Further, a CT simulator insert is provided which provides the same dosimetric properties for the patient couchtop and devices during patient treatment planning.

A system for treating and deodorizing objects such as clothing, bedding, or the like, comprising a bag for receiving said objects, and a system for dispersing a deodorizing treatment fluid such as ozone or the like therethrough. Another embodiment of the present invention contemplates a liner to contain and direct a treatment fluid into an absorbent such as pet litter or the like, to disinfect and renew. A complimentary system to the present invention teaches a deodorization, disinfectant, treatment bin for treating litter infused with animal waste, which treatment bin includes a treatment area utilizing ozone to contain and treat the contaminated litter, rendering same re-useable. The system of the present invention further contemplates an ozone generator having a timer circuit for providing a flow of ozone to the apparatus of the present invention, the ozone generator further contemplating as exemplary features a timer apparatus for providing optimal treatment, as well as a proximity sensor system for sensing the presence of an animal in the litter area, for controlling the ozone generator.

The invention relates to a sewage recycling comprehensive treatment technique, including that sewage is pretreated by a physicochemical technique and a biochemical technique; the pretreated sewage is separated by an immersed ultrafiltration solid-liquid separation system; ozone is used for eliminating part of organic matter and bacteria in the ultrafiltration membrane permeate liquid generated in the previous step; after being treated in the previous step, organic pollutant in the water is further removed by adopting activated carbon for filtering; after the treatment in the previous step, the water carries out reverse osmosis treatment to obtain permeate water of a reverse osmosis membrane, that is, reuse water. All sewage treatment techniques adopted by the invention are mutually matched, have reasonable sequence and play own roles independently, thus preventing the sewage treatment techniques from affecting with each other, allowing the equipment of each sewage treatment technique to achieve optimal treatment effect and leading to more complete sewage treatment.

Methods and kits for determining appropriate treatment for illnesses in humans or animals are disclosed. The method includes: providing a test kit containing a random arrangement of drug(s) and placebo(s) and / or alternative treatment(s) along with a questionnaire or other instrument designed to elicit data concerning the safety, efficacy and desirability of a treatment; administering the drug(s) and placebo(s) and / or alternative treatments to each member of the pool in a random, double blind fashion and following up on patient outcomes as appropriate post-study; assembling a database from the completed pool questionnaires and revealing the random schedule to uncover drug and placebo treatment periods; providing the same kit to a patient in need of the same treatment and comparing the results obtained from the single patient trial with those obtained from the pool to determine an optimal treatment for the patient with the drug; and administering a treatment consistent with the optimal treatment.

The invention relates to a method for deciding an agile satellite earth observation task pretreatment scheme. A new target area decomposition and combination method is provided; a multi-attribute utility function is constructed according to a pretreatment method; task scheduling pretreatment schemes are sorted and selected according to the multi-attribute utility function method; a point target describing method based on 'moment-gesture' and a region target feature describing method based on time gesture vectors are provided; the describing method is utilized to provide a target decomposition and combination method in the pretreatment; for different parameter generating schemes, the optimal treatment scheme is selected through the multi-attribute utility function method.

The invention discloses an identification method of a salt-tolerant resource in the seedling period of cowpea, which is easy to operate and reliable in identification result. The identification method comprises the steps of carrying out germination experiment by adopting one cowpea variety to screen the optimal ultrasonic treatment method and determine the germination conditions; carrying out salt treatment experiment on three varieties by adopting salt solutions of multiple gradients to determine the optimal treatment condition; carrying out salt-tolerant experiment on 18 cowpea varieties of different genes, and carrying out principal component analysis to determine the optimal regression model. The identification method is used for identifying the salt-tolerant capability of the cowpea with 15d, and is short in identification time; the optimal salt-tolerant indexes of the cowpea are plant height, root length, plant dry weight and root dry weight, the identification method with simple operation and definite index is established, the shape indexes are visualized and convenient to count, and the standard identification method is provided for large-scale rapid identification of salt tolerance in the seedling period of the germplasm resource of the cowpea as well as the salt-tolerant variety selection and salt-tolerant mechanism.

An apnea classification system provides for apnea monitoring and differentiation based on several sleep apnea related parameters for diagnostic and therapeutic purposes. Monitoring of such sleep apnea related parameters allows the apnea classification system to differentiate among the different types of apnea. This information may then be used to determine the best method of therapy, or adjust current therapy parameters to more effectively treat a subject.

Methods and kits for determining appropriate treatment for illnesses in humans or animals are disclosed. The method includes:providing a test kit containing a random arrangement of drug(s) and placebo(s) and / or alternative treatment(s) along with a questionnaire or other instrument designed to elicit data concerning the safety, efficacy and desirability of a treatment;administering the drug(s) and placebo(s) and / or alternative treatments to each member of the pool in a random, double blind fashion and following up on patient outcomes as appropriate post-study;assembling a database from the completed pool questionnaires and revealing the random schedule to uncover drug and placebo treatment periods;providing the same kit to a patient in need of the same treatment and comparing the results obtained from the single patient trial with those obtained from the pool to determine an optimal treatment for the patient with the drug; andadministering a treatment consistent with the optimal treatment.

The invention discloses a low-emission solid organic waste treatment system realizing methane and active carbon production. The technical method of the low-emission solid organic waste treatment system realizing methane and active carbon production uses a waste crushing treatment system, an anaerobic digestion raw material pre-treatment and blending system, an anaerobic digestion reactor system, an anaerobic digestion residuum dehydrating system, an anaerobic digestion residuum carbonizing system, a carbonized gas collecting, heat-exchanging and purifying system, and a treatment water recycling system. The technical integration of the low-emission solid organic waste treatment system realizing methane and active carbon production is capable of finishing the optimal treatment of the biomass solid organic waste, and the final product is the clean energy methane and environment-friendly material active carbon. The partial required energy can be produced by the technical method, the energy recycling rate is high, and the treatment on the exhaust gas and effluent can be finished in the production link, the system is energy-saving and environment-friendly. By sufficiently considering the influence of various factors and the coherence among various links, the period of anaerobically treating the biomass organic solid waste can be obviously shortened, and the treatment efficiency of the organic solid waste can be sufficiently improved.