324 results about "Personalized treatment" patented technology

The present invention relates to genetic profiles and markers of cancers and provides systems and methods for screening drugs that are effective for specific patients and types of cancers. In particular, the present invention provides personalized treatment customized to an individual's cancer.

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.

The invention provides a similarity analysis method and system for patients suffering from cardio-cerebral vascular diseases. The method comprises the following steps of 1 problem definition, wherein problem definition for the patients suffering from the cardio-cerebral vascular diseases is conduced; 2 data collection, wherein health care data of the patients suffering from the cardio-cerebral vascular diseases is collected; 3 data preprocessing, wherein data integration, data cleaning, missing value processing, feature deleting and abnormal point removing are included; 4 feature engineering, wherein feature construction, feature selection and feature processing are included; 5 patient clustering modeling; 6 diagnosis and treatment scheme recommendation. Accordingly, an effective similarity analysis model for the patients suffering from the cardio-cerebral vascular diseases is built, a clinician can obtain the similar populations of a give patient through the patient features and then recommends a personalized treatment plan to achieve the purpose of accurate medical treatment, population grouping based on similarity analysis can be well conducted on the patients suffering from the cardio-cerebral vascular diseases in the Chinese population, and pointed personalized rehabilitation therapy is conducted on different risk populations as early as possible.

The invention discloses a cloud computation based early oncotherapy efficacy evaluation system and method. The system comprises a multimodal imaging acquisition device in the oncotherapy process, a voxel-based multimodal image registration and fusion cloud computation device, a voxel-based early evaluation cloud computation device for efficacies in the oncotherapy process, and a posttreatment cloud computation evaluation device. The system and method provides more accurate, reliable and real-time information abundant in information amount to doctors, and accurate bases are provided for establishing patient-orientated personalized treatment programs. By establishment of a molecular image guided early oncotherapy efficacy evaluation cloud system with high-speed processing capacity, a posttreatment historical data reference platform is provided for medical staff, and a platform used for providing bases to timely adjustment, fast tracking or implementation of treatment schemes on the basis of real-time data in the current treatment course can be provided.

Embodiment of the present invention disclose a method of managing treatment comprising capturing images of an organ, analyzing the captured images, determining at least one of susceptibility to at least one of a medical and non-medical condition and presence of the at least one of medical and non-medical condition, upon determination of the presence of at least one of medical and non-medical condition, measuring the level of severity of the at least one of medical and non-medical condition, categorizing the at least one of medical and non-medical condition based on the measured level of severity, recommending one or more of at least one of preventive, palliative, curative and cosmetic cum aesthetic, and at least one of new and enhanced personalized treatments based on the measured level of severity of the at least one of medical and non-medical condition, implementing the one or more of at least one of preventive, palliative, curative and cosmetic cum aesthetic, new and enhanced personalized treatments, tracking efficacy of the implemented one or more of at least one of preventive, palliative, curative and cosmetic cum aesthetic, new and enhanced personalized treatments and optimizing the one or more of at least one of preventive, palliative, curative and cosmetic cum aesthetic, new and enhanced personalized treatments based on the efficacies thereof.

The invention belongs to the technical field of medicine, and specifically relates to a primary tumor cell culture medium, culture method and application. The primary tumor cell culture method provided by the invention comprises the steps as follows: preparing a primary cell culture medium which comprises the following components: hydrocortisone, EGF, Insulin, a ROCK inhibitor, but not contains cholera toxin, and is an improvement of the existing primary cell culture medium; culturing tumor tissue epithelial cells on laid-out trophoblast cells by using the primary cell culture medium, and enabling the tumor tissue epithelial cells to proliferate rapidly under the combined action of growth factors secreted by the trophoblast cells and nutrient factors contained in the culture medium; and digesting and sub-culturing the tumor tissue epithelial cells when the tumor tissue epithelial cells grow to a cell density of about 80% to 90%. A convenient primary cell culture method is used to obtain immortalized cells possessing the biological characteristics of a patient's own tumor, and the problem of immortalization of the primary culture of tumor cells is solved, thereby realizing personalized treatment for the patient.

The invention provides a screen unlocking method and a data access control method. The data access control method comprises the following steps: collecting signature characteristics input by a user in advance, structuring signature essential information corresponding to a collection environment and storing the information; and when screening unlocking or access of limited sensitive data or application is required, collecting a current signature characteristic input by the user, extracting stored signature essential information correspondingly to a current collection environment according to the collection environment, comparing the current input signature characteristic with the extracted signature essential information to perform screen unlocking or allow the sensitive data or the application to be accessed if the comparison is identical, and otherwise, not performing screen unlocking or refusing accessing the sensitive data or the application. According to the invention, screen unlocking is realized, and personalized treatment on control of the data access is achieved, and the safety is improved.

The invention discloses a pharmaceutical activity prediction and selection method based on genetic expressions and drug targets. The method comprises following steps: 1) obtaining target genes corresponding to drugs to be detected according to information in drug target database; obtaining genetic expression data of disease tissues of patients and corresponding compression data and obtaining important genetic lists of morbidity processes of patients by evaluating importance of genes through a systems biology method; 2) searching for whether the target genes obtained in the step 1) target the important gene lists during mobility of the patients or not through statistical analysis of in order to predict pharmaceutical activity of patients and select drugs suited to patients. The method is easily used with high efficiency and broad application scope. The prediction method can be used for selecting drugs suitable for individual patients such that a personalized treatment schme can be provided for patients.

Personalized skin-specific topical formulations containing conditioned medium obtained from cultures of fibroblasts has been developed. Unlike other topical formulations, these formulations are specific for the recipient-skin type specific, and conditioned medium is obtained from a subject with desired skin characteristics. For example, since African American skin is known to wrinkle less and later than Caucasian skin, conditioned medium may be obtained from African American skin for application to pale skin. In another embodiment, the fibroblasts are obtained from young skin for administration to older skin. In still another embodiment, the fibroblasts are obtained from skin that does not suffer from acne or discoloration, for application to skin that is prone to acne or discoloration. Examples of skin donor selection criteria include delayed wrinkling, small pores, resistance to sunburn, resistance to acne, uniform coloration or lack of blotching or age spots and good moisture retention.

The invention discloses a liver cancer gene detection kit, which comprises 97 target probes matching with the exon regions of 94 liver cancer associated genes and 3 promoter regions of TERT gene. The invention also discloses application of the kit in diagnosis of liver cancer, and a method for detection of liver cancer associated genes with the kit. The liver cancer gene detection kit provided by the invention can be used for clinical diagnosis and classification of liver cancer, makes liver cancer diagnosis rapider and more accurate, and provides a new way for personalized treatment of liver cancer.

The invention discloses a transcranial magnetic stimulation device controlled by near-infrared signals. The TMS stimulation system and the fNIRS signal acquisition system are described above. The present invention utilizes the near-infrared signals of the subjects themselves to set personalized transcranial magnetic stimulation parameters, avoiding excessive stimulation or insufficient stimulation. The present invention is simple and easy to operate, convenient to adjust the transcranial magnetic stimulation parameters according to the real-time near-infrared signal in the transcranial magnetic stimulation, meets the needs of personalized treatment, improves the stimulation curative effect of the transcranial magnetic stimulation, and expands the near-infrared signal The application range of detection provides a new method and practical tool for neuroscience research, detection and treatment.

The invention relates to a method for analyzing the correlation between CT imaging genomics characteristics and gene expression in lung cancer. The method includes: using a semi-automatic segmentationmethod to extract CT imaging genomics characteristics of a segmented tumor were; performing clustering analysis on the basis of preprocessed gene data, and taking a first principal component as a representative of a gene clustering result with a similar expression profile; and finally, using a gene chip saliency analysis algorithm to find the correlation between CT imaging genomics characteristics and gene expression in lung cancer, and verifying and analyzing the result. The invention provides a novel scheme for exploring the relationship between the image characteristics and the gene data,and attempts to find an imaging substitute of the gene, interprets the image characteristics from the gene level, and assists the personalized treatment of the tumor well.

The invention discloses an ICU ward horizontal-type bilateral cerebral palsy lower limb rehabilitation robot with the functions of communication and autonomous navigation movement. The robot structurally comprises a lower limb rehabilitation exoskeleton, a human body sign data collection module, a data processing module, a human-computer interaction module, a motion control module and an autonomous navigation moving chassis, and evaluation and coordinated rehabilitation training on all joints of the two lower limbs can be achieved; the data collection module collects motion and physiological data of the joints of the lower limbs and sends the data to the data processing module, the data processing module gives out a rehabilitation evaluation result of a patient and related motion data anduploads the result and the data to a cloud platform, and the cloud platform generates a personalized treatment scheme through clustering analysis; the human-computer interaction module sends an instruction to the motion control module to control the lower limb exoskeleton and guide the patient in rehabilitation training; the autonomous navigation moving chassis adopts Mecanum wheel design, indoorand outdoor navigation is achieved through the combination of GPS, vision and laser navigation, obstacle avoidance is achieved through ultrasonic detection, and the autonomous moving capability of therobot is improved.

The invention provides a java-based web development middleware. The java-based web development middleware comprises an action module and a data access module, wherein the action module is in charge of receiving http request data, sending the data to an appointed logic treatment unit for processing, generating webpage data in required format for treatment results of corresponding logic treatment units, and displaying the webpage data in a browser; the data access module is in charge of receiving and executing an operation request on a database, achieving automatic mapping of the database and a javabean object by utilizing an MQL (MetaQuotes Language) script language, and converting the complex operation on the database into the operation on the javabean object; in the logic treatment process, the need of personalized treatment is met in a way of inserting an interceptor; and in the webpage generation process, a template mode and a non-template mode are provided at the same time, and in the template mode, a webpage generation format is defined by a template based on an XML (Extensive Markup Language) marking mode. By utilizing the development middleware, the web development process is flexible and quick, the complex database operation is simplified, the web development cycle can be shortened, and the development efficiency is improved.

Described herein are gene signatures providing prognostic, diagnostic, treatment and molecular subtype classifications of ovarian cancers through generation of ovarian cancer disease signatures (OCDSs) that account for molecular heterogeneity present in gynecological cancers. An ovarian cancer fixed signature (OCFS) is described which relates to the core programming of disease development, in addition to an ovarian cancer stem cell (OCSC) signature. Development various disease signature, suggests personalized treatment strategies focused on molecular subtypes of gynecological cancers, such as triage tests for patients.

It is described a drug delivery system (100) that is adapted to infuse at least one drug in a profile related to the status of a patient. The system comprises sensors (110), dedicated electronics (140) and software to monitor the patient's activity and maintain control over the drug-release profile. A control unit (120) of the system (100) is adapted to temporarily set at least one component (110, 120, 150) of the system (100) in an idle mode (265). This will result in particular in a reduction of power required by the system (100). The described system (100) enables a personalized treatment of patients by monitoring their individual activity status and coupling this information to a drug delivery following appropriate delivery profiles. The system (100) may be provided with a memory in order to store a time dependence of activity data. This time dependence may be used by physicians to monitor, support and adapt their therapy for the patients. The system (100) may be realized as a closed-loop system for monitoring and treatment of various diseases such as hemophilia A and Parkinson.

A tumor molecular typing prediction system comprises a gene expression data extraction module, a missing value preprocessor, an important gene extraction module and a US-ELM (Extreme Learning Machine) molecular typing module, wherein the gene expression data extraction module is used for obtaining tumor gene expression data; the missing value preprocessor is used for filling the obtained tumor gene expression data with missing values; the important gene extraction module is used for extracting important tumor genes determining survival time from the tumor gene expression data; the US-ELM molecular typing module is used for performing tumor molecular typing prediction on the important tumor genes by adopting US-ELM. The tumor molecular typing prediction system overcomes the defects of slow speed, poor generalization performance and low classification accuracy of conventional tumor molecular typing techniques, realizes tumor molecular typing prediction which is rapid and high in classification accuracy, and can perform unsupervised machine learning on multiple types of tumors. By the application of the system in tumor molecular typing prediction, biological behaviors of the tumors can be better judged, and the direct purpose of the system is to provide the reference base for formulation of personalized treatment programs instead of obtaining a diagnosis result.

Methods and apparatuses for sensory electrical stimulation of the peripheral nervous system to improve human motor function and performance are described. Methods and devices may be used to enhance physical performance of athletes, professionals, and gamers or improve motor function (hand, finger and limb movement) in patients rehabilitating from neurological deficits and impairments caused by stroke, traumatic brain injury and other neurologic or non-neurologic conditions. These apparatuses and methods may be used for physical training and mental training (to improve memory and functional performance including motor coordination, limb-eye coordination, occupational and recreational skills) through periodic or sustained sensory electrical stimulation. Treatment plans may be based on biomarkers and may be used alone or in combination with other apparatuses. Learning and feedback techniques individualize treatment parameters depending on the subject's neurologic and motor function in diseased patients and healthy users.

The invention provides a method for detecting pathogenic genes of other system diseases causing cardiovascular symptoms, and provides application of a reagent for detecting pathogenic and/or susceptible genes of other systemic diseases causing cardiovascular symptoms in preparing products for diagnosing other systemic diseases causing the cardiovascular symptoms. The reagent can detect at most 263diseases related genes simultaneously, and a reference can be provided for genetic diagnosis and personalized treatment of sick individuals so as to study causes of other systemic diseases causing the cardiovascular symptoms and to assess risk factors for early intervention and early treatment.

A system for individualized treatment of a tissue condition with acoustic pressure shocks includes personalized determination and automatic adjustment of a shock wave treatment regimen or shock wave dosage to be administered for personalized treatment based on factors such as a patient's comorbidities, state of the tissue condition, individual physical characteristics and lifestyle parameters.

The invention discloses an 18F labeled quinazoline class EGFR (Epidermal Growth Factor Receptor) positron tracer agent and a preparation method and application thereof and belongs to the field of chemical synthesis. The 18F labeled quinazoline class EGFR positron tracer agent has a chemical structure as shown in a formula II. The synthesized 18F labeled micro-molecular EGFR class positron tracer agent has the clinic values of diagnosis and therapeutic effect monitoring and particularly plays an important role in promoting personalized treatment. Besides, the invention further provides a one-step method, namely a method for fully-automatically synthesizing the 18F labeled quinazoline class EGFR positron tracer agent. The method has the characteristics of multiple purposes, high yield, high efficiency, short synthesis time, low cost and the like and can meet the requirements of large-scale production. The formula II is shown below.

The invention discloses a liver cancer marker lncRNA ENST00000620463.1 and application thereof. The invention provides a tumor marker which is LncRNA; the tumor marker is named as ENST00000620463.1; the ENST00000620463.1 is RNA expressed as a sequence 1 in a sequence table; DNA corresponding to ENST00000620463.1 is DNA expressed as a sequence 2 in the sequence table. The invention firstly discovers that the ENST00000620463.1 in the liver cancer is greatly increased; an experiment proves that shRNA interference silencing ENST00000620463.1 is capable of effectively inhibiting proliferation, migration and invasion of the liver cancer cells; a novel method is provided for the individualized treatment of the liver cancer.

The invention relates to a bone repairing material for a personalized treatment. The material is prepared from a solid phase material which is prepared from a phosphoric acid calcium salt, alpha-hemihydrate calcium sulfate and reinforcing fibers and a liquid phase material which is prepared from one or more of citric acid, sodium phosphate, dibastic sodium phosphate, de-ionized water, physiological saline and blood of patient, wherein the volume ratio of the solid phase to the liquid phase is 5 to 10: 1. The bone repairing material can promote the regeneration of bone defects and can be processed into various complicated shapes and sizes according to the actual requirements of patients to meet the surgical requirements of the clinic personalized treatment or plastic operation.

The invention relates to the fields of a biological technology and a cell culture technology, in particular to a liquid drop cultivation method of three-dimensional organs and application of the three-dimensional organs to biomedicine. A pipette tip and the conventional cell culture method are combined, a liquid drop with spherical conformation is formed by utilizing the pipette tip to serve as aculture carrier, and a millimeter-sized organ tissue is prepared by performing cultivation in the liquid drop. The ideal organ-like liquid drop culture condition is obtained by screening and analyzingfactors such as the cut position of the pipette tip, the volume of the injected liquid as well as the angle of the contact angle between the liquid drop and the section. Meanwhile, the form (shape and size) of the three-dimensional organ is controlled flexibly and effectively by adjusting the condition in a timely manner. In addition, the method provided by the invention has the advantages of being simple and convenient to operate, low in culture cost, high in culture efficiency and the like. The millimeter-sized three-dimensional organ tissue prepared according to the cultivation method canmeet the requirement of performing in-vitro medicine screening in the early personalized treatment stage.

The invention discloses a metabonomics data fusion optimization processing method. The method comprises the following steps of 1, converting metabonomics data of many patients of different sources into metabonomics data matrixes separately, 2, using an experiment design method to optimize a metabonomics data optimal preprocessing method with different sources separately, then through the optimized data optimal preprocessing method to process the metabonomics data matrixes in the step 1, and through the combination of a classification model, finding metabolite data with great contribution; 3, converting the metabolite data with the great contribution found in the step 2 into an important metabolic data matrix; 4, using the experiment design method to optimize the data optimal preprocessing method of the important metabolic data matrix, through the optimized data optimal preprocessing method, processing the important metabolic data matrix obtained in the step 3, and through the combination of the classification model, typing and classifying different patients. According to the metabonomics data fusion optimization processing method, the accuracy for typing and classifying diseases is improved, and a doctor can be assisted in more precisely laying out a personalized treatment scheme for a patient.