69 results about "Drug Sample" patented technology

An fully online process to facilitate the fulfillment of drug samples to prescribers is described. With the present invention, a prescriber may order physical drug samples online by undergoing an authentication process that is in lieu of requiring a signature match. In the invention, the ordering of drug samples is made over a communication network without requiring a handwritten signature.

Systems and methods for processing drug sample prescription transactions that determine whether a drug to be prescribed is eligible for sampling and / or whether the patient is eligible for sampling that drug. A prescription transaction for that drug is created and transmitted to a switch provider and is then routed to a pharmacy for prescription fulfillment. Once the prescription has been filled a message may be sent to the prescribing clinician. Moreover, the pharmacy may generate a prescription claim to be adjudicated by a claim processor where the claim specifies voucher and / or coupon information associated with the drug to be sampled that is taken into consideration either prior to or during claim adjudication. A database containing patient and / or drug information may be used to track a patients' receipt of drug samples as well as used for analyzing and / or reporting on the use of the drug sampling prescription based system.

In the practice of the present invention, a method and system for notifying a patient of a medical office about a pharmaceutical event based upon a pharmaceutical sample associated with the patient and corresponding to received event data, said patient selected from a list of patients retrievably stored within a database, a message being generated by the computer in response to said pharmaceutical event and transmitted to the patient. In addition, the present invention allows the medical office to monitor drug sample inventory and record dispensed drug samples and newly received drug samples. Optionally, the system may selectively transmit a portion of the medical office database to a pharmaceutical company for monitoring the inventory, dispensing and utilization of selected drug samples at plural medical offices.

The present invention is a method and apparatus for drug sample identification, including a scale for weighing a drug sample and an imaging module for capturing digital images of the drug sample, from at least two different visual perspectives simultaneously, and an transmitting the collected data and images, via an interface, to a computer for storage and association with an image database.

A patient replica is created from a layered culture medium where solid culture medium is formed so that a discontinuity exists between the layers. An infusion port is provided in registration with the discontinuity so that a fresh unadulterated sample of patient blood can be infused into the discontinuity to form a thin layer of blood between the layers of culture medium. The thin layer obviates the requirement for any anticoagulant allowing blood-borne pathogens to be readily cultured without using broth. Further antibiotics or other drug samples may be placed on the surface of the culture medium above the blood layer so that the antibiotic can diffuse through the culture medium and reveal the sensitivities of the cultured pathogens. Other samples of pathogens or tissues can be placed on the surface of the culture medium so that effects of drugs or growth factors present in the patient blood can be observed thereby allowing the entrapped blood layer to act as a biological replica of the patient.

The present disclosure is directed to an apparatus and method for studying dissolution of a compact sample. The compact sample is typically a pharmaceutical drug sample. A flow-through apparatus includes a frame defining a flow-through channel, a removable insert having a drug sample, the insert positioned within the frame such that a fluid interacts with the sample when the fluid passes through the flow channel. The frame has an opening on the top side to allow a glass plate, typically a microscope cover slip to be positioned within the frame and allow viewing of the fluid flow and interaction with the drug sample. The hydrodynamics of the fluid flow are either known or computed. Thus, dissolution can be studied and observed in view of hydrodynamic characteristics. Typically, only a small amount of sample is necessary for a study. The flow-through apparatus is designed to fit on a microscopy stage and allow visual observation of the fluid / sample interaction.

The invention discloses a carborane-perylene diimide derivative and a synthesis method thereof, a sensing array based on the derivative and a preparation method and an application of the sensor array,and belongs to the technical field of small-molecular fluorescent sensing thin film materials. The carborane-perylene diimide derivative is placed in a solution, is assembled into a fiber structure with relatively large specific surface, and then is transferred to different substrate surfaces, so as to obtain the sensing array composed of a variety of fluorescent thin films; the sensing array canbe sensitive to sense six important drug gases, and drug samples have no need of any treatment; at the same time, through array combination, the interference of common interferents is eliminated thoroughly. The operation is simple, and the reaction conditions are mild. The prepared fluorescent sensing thin film has good stability and long service life, and is an excellent drug gas sensing thin film array. With combination use of the thin film and commercial fluorescent instruments, the drug gases can be sensitively detected. In addition, the drug gas special detection instrument can be developed through the device of the sensing thin film.

Improved ways to facilitate the collection and distribution of donations are disclosed. One aspect involves the creation and administration of charitable donation cards. Another aspect involves the creation and administration of charitable donation cards and care cards. Still another aspect of the invention involves creation, distribution and administration of drug sample cards.

The invention discloses an integrated drug screening and staining micro-fluidic chip, which is such structured that a liquid path control layer is arranged on the upper layer of the micro-fluidic chip, a gas path control layer is arranged on the lower layer, and a blank glass base plate is arranged on the bottom surface of the micro-fluidic chip; and specifically, the micro-fluidic chip structurally comprises a cell fluorescent staining sample inlet, a fluorescent staining sampling channel area, a cell sample inlet, a cell sampling channel area, a cell culture room, a drug sampling channel area, a drug sample inlet, a liquid outflow channel area and a liquid outlet. The invention also provides a preparation method of the integrated drug screening and staining micro-fluidic chip, wherein the preparation method of the integrated drug screening and staining micro-fluidic chip comprises the following steps: preparing a photoresist template that channel parts protrude; promoting developingand hardening; processing the template by virtue of a silylating reagent; obtaining a polydimethylsiloxane chip having a structure; and implementing irreversible sealing. The micro-fluidic chip provided by the invention is simple in structure, convenient in preparing operations, high in speed, high in efficiency and broad in application scope.

The invention relates to a ratiometric fluorescent probe, and a preparation method and application thereof. According to the invention, firstly, a fluorescent probe layer taking fluorescent graphene oxide and copper nanoclusters as raw materials is prepared, and a probe carrier is printed or coated with the fluorescent probe layer to obtain the ratiometric fluorescent probe; the concentration value of an aniline drug sample can be obtained by detecting an RGB value of the aniline drug on the surface of the ratiometric fluorescent probe and substituting the RGB value into a standard curve. According to the invention, drug detection is based on a specific combination reaction of special amino groups of the aniline drug and surface carboxyl groups of the copper nanoclusters, and detection sensitivity and accuracy are high.

MCE assays and reagents to assess purity and to identify impurities in protein drug product samples are provided. Methods for analyzing analytes in a protein drug sample are provided.

The invention discloses a method for determining dimethyl sulfate in a drug through derivatization gas chromatography-mass spectrometry. The method comprises the following steps of adding a derivatization solution into a drug sample, deriving dimethyl sulfate into methyl iodide, and detecting the content of methyl iodide through gas chromatography-mass spectrometry to obtain the content of dimethyl sulfate, wherein the derivatization solution is a saturated sodium iodide aqueous solution added with a trace amount of sodium thiosulfate. By adopting the method, the content of the genotoxic impurity dimethyl sulfate in the medicine can be accurately determined, and the method has the advantages of being convenient to operate, being capable of reducing the interference of a non-volatile medicine matrix and the like.

The invention discloses a method for detecting the content of NDMA in a tidine drug. The method adopting liquid chromatography-mass spectrometry detection comprises the following steps: (1), separating a tidine drug sample by using liquid chromatography that adopts a hydrophilic interaction chromatographic column, and has no acid added into a pre-column mobile phase; and (2), detecting the NDMA content of the sample subjected to liquid chromatography separation in combination with mass spectrometry. According to the invention, a hydrophilic interaction chromatographic analysis method is adopted to separate the tidine component and the NDMA; acid is not added into the pre-column mobile phase, so that the tidine and the NDMA are kept in a non-ionic state to be separated, the separation timedifference between the tidine and the NDMA is 12-13 minutes; and thus the interference of tidine components on the NDMA can be completely removed, and the quantitative result is accurate. According tothe method, electrospray ionization is combined with tandem mass spectrometry, ESI is low-temperature mass spectrometry, the mass spectrometry part is non-high in resolution, and the manufacturing cost is relatively low, so that the application and popularization performance is higher, and the conversion and application prospect is good.

The invention belongs to the field of analytical chemistry, and particularly discloses indirect iodometry dynamics spectrophotometry for measuring vitamin C. The spectrophotometry specifically comprises steps as follows: at the room temperature, using a cuvette of 1 cm as a reaction container, adding 0.50-1.40 mL of a 200 mu g / mL vitamin C standard solution and 1.60-2.50 mL of a 0.5% starch solution to enable the volume of the mixed solution to be 3.00 mL, adding 0.20 mL of a 0.200 mg / mL potassium iodate solution and 0.10 mL of a 0.15 mol / L of sulfuric acid solution, evenly shaking the mixture, quickly placing the mixture into a reagent blank for a photometer, performing dynamics spectrophotometry scanning at the wavelength of 600 nm to measure the peak absorbance within a short time, wherein the peak absorbance has a good linear relation with the concentration of the vitamin C. The spectrophotometry has the advantages that the spectrophotometry is convenient, accurate, micro and quick, used drugs are low in cost, easy to obtain, non-toxic, pollution-free and environment-friendly and the like, and is used for measuring the vitamin C in biological samples, drug samples and the like.

The invention discloses a harmless treatment method for drugs. The harmless treatment method comprises the following steps: step S100, fully dissolving a drug sample in an aqueous solution to form a drug solution; step S200, adding an oxidizing agent into the drug solution, and putting the drug solution added with the oxidizing agent into a reaction kettle for treatment by a supercritical water oxidation method; and step S300, measuring the content of organic matters in the drug solution before and after the reaction to obtain the degradation rate of organic matter components. The method has the advantages of high degradation efficiency (up to 99.99% or above), no secondary pollution and the like, especially has more obvious advantages in treatment of drugs and high-toxicity, degradation-resistant and high-concentration drug-making wastewater, has the advantages of simple equipment structure required by degradation, small unit volume and occupied area and the like, and has wide popularization prospects.

One of the major components of the present invention is to provide a process to facilitate the fulfillment of drug samples to prescribers in several different manners. With the present invention, a prescriber can request actual drug samples on-line or can order on-line coupons for drug samples to be given to patients who in turn go to a pharmacy to obtain the free medications. As a third alternative, the prescriber can print the coupons in his own office to give to patients who in turn redeem the coupons for free medications at a pharmacy.

The embodiment of the invention provides a model training method and device, computer equipment and a storage medium, and belongs to the technical field of artificial intelligence. Comprising the steps of obtaining multiple pieces of inquiry sample data and corresponding prescription sample data; performing prediction processing on the patient sample data and the dialogue sample data through a pre-training model to obtain prescription prediction data; calculating a first loss value according to the plurality of drug prediction data; constructing a drug co-occurrence matrix according to the multiple drug sample data, and calculating a second loss value; and training the pre-training model according to the first loss value and the second loss value to obtain a prescription recommendation model. According to the embodiment of the invention, the drug co-occurrence matrix is constructed through the prescription sample data, and the drug co-occurrence loss is added according to the drug co-occurrence matrix, so that not only is the correlation among a plurality of drugs considered, but also the problem that classifiers are increased along with the increase of the number of the drugs in the prescription recommendation model is avoided, and the training efficiency of the model is improved.

The invention relates to the technical field of bacterial quantity detection, and relates to a mixing device for detecting the number of bacteria in a food and drug sample. The device includes a operation table; a driving shaft is rotationally connected to the operation table; the driving shaft is rotationally connected with a tray for bearing a culture dish; at least three fixing mechanisms usedfor fixing the culture dishes are arranged around the tray, each fixing mechanism comprises a limiting claw and a rotating shaft used for driving the limiting claw, the limiting claws are fixedly connected with the rotating shafts, the limiting claws comprise first limiting claws and the second limiting claws, and the first limiting claws and the second limiting claws are located on the two sidesof the culture dishes respectively; the rotating shaft is rotationally connected with the tray, a driven gear is fixedly arranged on the rotating shaft, one side of the driven gear is meshed with a driving gear, and the driving gear is fixedly arranged on the driving shaft. By the adoption of the scheme, bacteria can be more stably mixed, and the technical problem that a culture solution is proneto spilling out when the bacteria are shaken and mixed evenly is solved.

The present invention relates to methods and devices for the quantitative analysis of opaque pharmaceutical samples, such as tablets, capsules or similar samples constituting pharmaceutical doses. An opaque sample of drug (24) is irradiated with an excitation beam (20) of radiation, such as near infrared radiation. The intensity (30) of radiation emitted by the sample (24) is detected as a function of both the wavelength of the emitted radiation and the travel time of photons through the sample (24). Optionally, the intensity (30) of the radiation emitted by the sample (24) is also detected in a spatially resolved manner.

The invention provides a medicine recognition method based on machine learning and related equipment. The medicine recognition method comprises the following steps of: extracting a vector sequence ofa second drug statement sample by using an encoding model, and training a chemical substance identification model according to a chemical substance label of a second drug sample by taking a vector sequence of the second drug sample as input; extracting a vector sequence of a third drug statement sample by using the encoding model, and training a therapeutic substance recognition model according toa therapeutic substance label of a third drug sample by taking a vector sequence of the third drug sample as input; extracting a vector sequence of a to-be-recognized drug statement by using the encoding model, acquiring a chemical substance entity set by recognizing the vector sequence of the to-be-recognized drug statement by means of the chemical substance recognition model, and acquiring a therapeutic substance entity set by recognizing the vector sequence of the to-be-recognized drug statement by means of the therapeutic substance recognition model; and determining substance entities existing in both the chemical substance entity set and the treatment substance entity set as drugs. According to the medicine recognition method, the drug identification efficiency and accuracy rate areimproved.

The invention relates to an on-line structure detection method for liquid phase components based on two-dimensional liquid chromatography and mass spectrometry. The impurities in samples are detectedon line by high performance liquid chromatography and mass spectrometry, and the samples are selected from biological samples, drug samples, food samples and chemical samples. The on-line structure detection method comprises the following steps: (1) separating samples in a first-dimensional chromatograph, performing elution and desalination, and draining fractions cut from required fractions according to retention time into a quantitative ring mounted on a through valve, wherein the first-dimensional chromatograph contains a first mobile phase: (2) switching the through valve after drainage, and flushing the fractions onto a column head in a second-dimensional chromatograph through a second mobile phase in the second-dimensional chromatograph; (3) when the impurity content is lower and does not meet the detection sensitivity, repeating the steps (1) and (2) to accumulate the fractions on the column head, performing elution and desalination treatment, and flushing the treated fractionsinto a mass spectrometer for molecular weight or material structure debris detection.

The invention discloses a drug sample separation transport cart for nurse station logistical support. The transport cart comprises a base plate, a first magnet layer is arranged in the center of the upper surface of the base plate, a drug storage box is arranged above the first magnet layer, a second magnet layer magnetically attracted to the first magnet layer is arranged on the lower surface ofthe drug storage box, the upper, left, right and rear surfaces inside the drug storage box are each provided with a rectangular groove, a refrigerator is arranged inside each rectangular groove, the four corners of the upper surface of the base plate are each provided with a supporting rod, the upper surfaces of the supporting rods are jointly connected with a groove body, a plurality of partitionplates are arranged on the lower surface inside the groove body, and a buckled lid is hinged to the upper surface of the groove body. The drug sample separation transport cart has the advantages thatdrug sample separation transportation can be achieved, disassembling and assembling are convenient, a box can be stabilized, drug samples needing to be frozen are frozen independently, other drugs are not affected, drugs can be taken and stored conveniently, and the transport cart is simple in whole structure, convenient to operate, economical, practical and suitable for large-scale popularization.

The invention discloses an intelligent food and drug sample reserving cabinet (100). The sample reserving cabinet comprises a cabinet body (1), a first side sample reserving area (2) and a second side sample reserving area (3) are arranged on the two sides of the cabinet body (1) respectively, an intelligent control area (4) is formed between the first side sample reserving area (2) and the second side sample reserving area (3), the intelligent control area (4) comprises a face scanning device (41) fixed to the upper portion of the intelligent control area (4), a supporting plate (43) is fixedly arranged below the face scanning device (41), a snapshot device (42) is arranged on the supporting plate (43), and a printer (44) is further arranged in the intelligent control area (4). An operator is recognized and recorded through face scanning, meanwhile, articles are placed on the supporting plate (43) to be scanned and subjected to double inspection, information is printed synchronously, safe tracing of food and drug is guaranteed, and tampering is avoided, so that the sample reserving cabinet has tracing accuracy, uniqueness and real-time performance, is high in informatization degree, has high convenience, and is simple and easy to operate.

The invention provides a drug relocation method based on machine learning, and relates to the technical field of machine learning. The method comprises the following steps: selecting a plurality of medicines as samples, and obtaining indications of each medicine; selecting multiple target protein data as drug sample features, and performing data dimension reduction on the drug-target protein vector by using a data dimension reduction algorithm based on machine learning; selecting a plurality of physicochemical characteristics of each medicine by using a correlation analysis algorithm; by taking the dimension-reduced drug-target protein vector features and drug physicochemical features as features of drug molecules and indications of drugs as labels, constructing a drug curative effect data set, establishing three gradient boosting trees, and training the three gradient boosting trees by using data in the drug curative effect data set. According to the invention, the three boosting trees are fused to establish a drug curative effect prediction model, a Kflood algorithm is utilized to perform multiple rounds of prediction on the curative effect of the N drugs, and finally m drugs effective for treating a certain disease are predicted.

The invention relates to a method for rapid identification and composition analysis of drugs. The method comprises the steps of: taking a cotton swab dipped in methanol as an extraction medium, and swabbing the surface of a solid by means of the cotton swab to extract main components therein; then inserting the cotton swab into a reagent bottle containing methanol for simple washing and shaking, so as to dilute the amount of drugs dipped on the cotton swab, or directly painting on a sample injection cloth by using the cotton swab without dilution; and finally, using a portable ion trap mass spectrometer as a detection instrument, and identifying the suspected drug solid as opium through direction mass spectrometry and tandem mass spectrometry. The method is suitable for the rapid detectionof drug compositions in opium, and is suitable for the rapid detection of compositions in drugs of other types such as methamphetamine, heroin and marijuana. The method has the advantages that the sample pretreatment time is less than 5 min, the mass spectrometric detection time is less than 2 s, and the detection limits of five kinds of drug samples are all less than 10 ng, thereby greatly contributing to the on-site investigation, seizing and identification of drugs.

The present disclosure is directed to an apparatus and method for studying dissolution of a compact sample. The compact sample is typically a pharmaceutical drug sample. A flow-through apparatus includes a frame defining a flow-through channel, a removable insert having a drug sample, the insert positioned within the frame such that a fluid interacts with the sample when the fluid passes through the flow channel. The frame has an opening on the top side to allow a glass plate, typically a microscope cover slip to be positioned within the frame and allow viewing of the fluid flow and interaction with the drug sample. The hydrodynamics of the fluid flow are either known or computed. Thus, dissolution can be studied and observed in view of hydrodynamic characteristics. Typically, only a small amount of sample is necessary for a study. The flow-through apparatus is designed to fit on a microscopy stage and allow visual observation of the fluid / sample interaction.