Abstract: The present disclosure relates generally to the analysis of immune checkpoint proteins involved in cancer. In particular, the present disclosure provides material and methods for determining abundance ratios of various immune checkpoint proteins (e.g., PD-1, PD-L1, and PD-L2) present in a biospecimen sample based on quantification of peak area using mass spectrometry analysis. The methods disclosed herein provide an alternative platform for diagnosing and treating cancer, especially in cases limited by ineffective antibody recognition.

Abstract: Embodiments are directed to providing interfaces for software updating and code building. In one embodiment, a software code building interface is provided which includes a manufacturing and production process analyzer configured to divide the manufacturing and production process into multiple physical, discrete steps. The software code building interface includes other modules that identify dependencies between the discrete steps, generate reusable, global software code elements having data structures that are implemented to dynamically create interactive interfaces that present and allow interaction with the discrete steps, and access the generated global software code elements and the identified dependencies to generate interactive manufacturing and production process interfaces. These interfaces allow users to provide information relating to the discrete steps, ensuring that the manufacturing and production process is performed in an intended manner.

Abstract: An application operating on a portable computing device that generates a suggested hypothesis of at least one of: a diagnosis, a treatment, and subsequent medical investigation. The application receives quantified subfactors, collectively defining factors, for each patient. Subfactors of the medical condition are related to the history, symptoms, signs, tests, and responses to the treatment. The application determines an odds ratio for each factor regarding each hypothesized medical condition as well as an associated prevalence. The application can also determine a respective sensitivity and specificity. Posterior probability distribution, such as using Bayesian statistics, can be applied using odds ratios, prevalence, sensitivity specificity, and the associated correlations to determine the suggested hypothesis of the diagnosis, treatment, and any next tests.

Abstract: A method includes obtaining training data for a plurality of patients of a patient population. The training data includes training blood glucose history data including treatment doses of insulin administered by the patients of the patient population and one or more outcome attributes associated with each treatment dose. The method also includes identifying, for each patient of the patient population, one or more optimum treatment doses of insulin from the treatment doses yielding favorable outcome attributes. The method also includes receiving patient-state information for the treated patient, determining a next recommended treatment dose of insulin for the treated patient based on one or more of the identified optimum treatment doses associated with the patients of the patient population having training patient-state information similar to the patient-state information for the treated patient, and transmitting the next recommended treatment dose to a portable device associated with the treated patient.

Abstract: A computer-implemented method for personalized assessment of patients with acute coronary syndrome (ACS) includes extracting (i) patient-specific coronary geometry data from one or more medical images of a patient; (ii) a plurality of features of a patient-specific coronary arterial tree based on the patient-specific coronary geometry data; and (iii) a plurality of ACS-related features from additional patient measurement data. A surrogate model is used to predict patient-specific hemodynamic measures of interest related to ACS based on the plurality of features of the patient-specific coronary arterial tree and the plurality of ACS-related features from the additional patient measurement data.

Abstract: A system and method for verifying information relating to pets or support animals use steps of transmitting pet or support animal documentation from a sending user to a third party, verifying the documentation by the third party, resulting in a verified or unverified identifier, and storing a record corresponding to the documentation and the verified or unverified identifier in a data repository. Also facilitated are steps of requesting the verified or unverified identifier corresponding to the documentation by a recipient user using an end user device, querying the data repository for the record and selecting the corresponding verified or unverified identifier, accessing the verified or unverified identifier by the recipient user using the end user device, and determining whether a corresponding pet or support animal meets documentation criteria required by the recipient user based on the verified or unverified identifier.

Abstract: Novel means that enables prediction of prognosis of a patient with cancer or inflammatory disease is disclosed. In the method for prediction of prognosis of a patient with cancer or inflammatory disease according to the present invention, the expression level of the FROUNT gene in a sample collected from the patient is measured. Since FROUNT is a poor prognostic factor, the lower the expression level of the FROUNT gene is, the better the prognosis in the patient is predicted to be. Or, the expression level of the CC chemokine receptor/ligand gene in a sample collected from the patient is measured. Since the CC chemokine receptor/ligand gene such as CCR2 or CCR5 is a good prognostic factor, the higher the expression level of the CC chemokine receptor/ligand gene is, the better the prognosis in the patient is predicted to be.

Abstract: A state-estimator for the estimation or initialization of the state of a discrete-time state-space dynamical model based on sensor measurements of the model output, comprising fitting a continuous-time function to acquired sensor measurement data-points of each model output, and subsequently sampling the continuous time function at exactly the sample-period of the state-space dynamic model for which the state is being estimated or initialized, in order to construct a model state via a synthesized output trajectory.

Abstract: The present disclosure provides methods and systems for identifying natural product-encoding multi-gene clusters (MGCs). In some embodiments, the present disclosure also teaches methods for producing sequenced and assembled metagenomic libraries that are amenable to MGC search bionformatic tools and techniques.

Abstract: This document provides methods and materials related to genetic variations of neurological disorders. For example, this document provides methods for using such genetic variations to assess susceptibility of developing Parkinson's disease.

Abstract: A monitoring device configured to be attached to a subject includes a photoplethysmography (PPG) sensor configured to measure a plurality of physiological parameters from the subject, a motion sensor configured to detect an activity state of the subject, and a processor coupled to the PPG sensor and the motion sensor. The PPG sensor is configured to measure each physiological parameter in a respective one of a plurality of time intervals. The processor instructs the PPG sensor to measure a first one of the plurality of physiological parameters if the activity state is at or above a threshold, and to measure a second one of the plurality of physiological parameters if the activity state is below the threshold.

Abstract: An information processing apparatus according to the present technology includes a processing section that executes a process including a correction process of specifying noise included in perspiration data acquired by a perspiration sensor on a basis of sensor data acquired by a different type of sensor than the perspiration sensor, and removing the noise from the perspiration data. According to such a technology, noise estimated according to other sensor data can be removed from the perspiration data, making it possible to maintain high accuracy in a later process of estimating activity in the autonomic nerves.

Abstract: Systems and methods of genomic analysis are presented that provide a framework to determine a tumor's clonality, the number and proportion of all major clones, and the variants that distinguish them. Contemplated systems and methods also allow phasing mutations to parental alleles to so time their emergence within the population of tumor cells, and provide an accurate estimate of the amount of contaminating normal tissue that was present in the tumor biopsy.

Abstract: A measuring system comprising a measuring instrument and a computer system, the measuring instrument comprising a base unit, a support unit mounted on the base unit, a targeting unit comprising a distance meter having a targeting axis, a first angle encoder configured for measuring a horizontal angular position of the support unit, a second angle encoder for measuring a vertical angular position of the targeting unit, a camera for capturing image data, and a control unit is configured for computing a position of a target based on a preconfigured target attribute, the computer system being configured for receiving the image data from the camera, executing a classifier for determining at least one of a plurality of classes of at least part of the image data, validating a preconfigured target attribute based on the at least one class target attribute, and generating result data based on the validation.

Abstract: The present invention relates to a method, device and software product for converting data into a data DNA sequence and restoring the DNA sequence library into raw data, and a storage medium for storing the software product. The method for converting data into a data DNA sequence comprises: dividing data into one or more data conversion units, providing a binary sequence for each data conversion unit, and converting each data conversion unit into a data DNA sequence according to a dataDNA sequence conversion rule, thus acquiring a data DNA sequence library, which makes biological storage of data in vivo possible by constructing a data DNA library.

Abstract: Computer-implemented methods are provided for generating a personalized Boolean model for a genetic disease of a patient. The method includes storing specification data and reference model data. The reference model includes gene nodes, representing genes, connected to Boolean circuitry and a plurality of inputs for receiving binary input values. Each gene node in the reference model comprises a multiplexer. The multiplexer has a first input and an output, a second input for receiving a binary mutation value, and a control input for receiving a binary selector value. The method further comprises using a model checker to determine if the specification is reachable in the reference model. If the specification is reachable, the method includes identifying each multiplexer whose second input was connected to its output in the path reaching the specification to obtain mutation data for the patient, generating a personalized Boolean model, and outputting personal model data.

Abstract: Embodiments are related to the accurate detection of somatic mutations in the plasma (or other samples containing cell-free DNA) of cancer patients and for subjects being screened for cancer. The detection of these molecular markers would be useful for the screening, detection, monitoring, management, and prognostication of cancer patients. For example, a mutational load can be determined from the identified somatic mutations, and the mutational load can be used to screen for any or various types of cancers, where no prior knowledge about a tumor or possible cancer of the subject may be required. Embodiments can be useful for guiding the use of therapies (e.g. targeted therapy, immunotherapy, genome editing, surgery, chemotherapy, embolization therapy, anti-angiogenesis therapy) for cancers. Embodiments are also directed to identifying de novo mutations in a fetus by analyzing a maternal sample having cell-free DNA from the fetus.

Abstract: Disclosed herein is a system for determining a subject's stress condition. The system includes a stress test unit configured for: receiving features defining the subject and physiological signals sensed from the subject when performing a relaxation and a stressful test task; extracting normalization parameters from the physiological signals; and identifying stress-responsive physiological features. The system also includes a storage unit configured for: storing a plurality of stress models; and storing the subject's features, normalization parameters, and the stress-responsive physiological features.

Abstract: The present invention provides methods for personalized therapeutic management of a disease in order to optimize therapy and/or monitor therapeutic efficacy. In particular, the present invention comprises measuring an array of one or a plurality of biomarkers at a plurality of time points over the course of therapy with a therapeutic agent to determine a mucosal healing index for selecting therapy, optimizing therapy, reducing toxicity, and/or monitoring the efficacy of therapeutic treatment. In certain instances, the therapeutic agent is a TNF? inhibitor for the treatment of a TNF?-mediated disease or disorder.

Abstract: Systems and methods for estimating a ventilatory threshold for a patient and estimating likelihood of pulmonary arterial hypertension are provided. An example method includes determining ratios of minute ventilation to rate of oxygen uptake based on breath-by-breath data for a patient. The example method also includes determining a ventilatory threshold based upon the determined ratios and determining a score based upon an end-tidal partial pressure of carbon dioxide (PetCO2) value at the determined ventilatory threshold and a minute ventilation/carbon dioxide production relationship (VE/VCO2) value at the determined ventilatory threshold. The method also includes using the score to estimate a likelihood that the patient has pulmonary arterial hypertension and causing the estimated likelihood to be displayed on a user interface.

Abstract: The present invention relates to a method for discovery of a novel miRNA biomarker for cancer diagnosis, a biomarker for diagnosis of bile duct cancer or pancreatic cancer which has been discovered through the method for discovery of a biomarker, a method for diagnosing cancer, comprising a step in which cancer is diagnosed when f(x)>0 by substitution of the expression level of the miRNA biomarker, which is detected by the method for discovery of a miRNA biomarker for cancer diagnosis, in a sample into a novel SVM classifier function, a kit for diagnosing bile duct cancer or pancreatic cancer comprising the biomarker for diagnosing bile duct cancer or pancreatic cancer, and a computing device for performing a process of diagnosing cancer when f(x)>0 as a result of a calculation by substitution of the expression level of a miRNA biomarker, which is detected by the method for discovery of a miRNA biomarker for cancer diagnosis, into the novel SVM classifier function.

Abstract: The present invention refers to a method for immuno-histochemical staining of a formalin-fixed, paraffin-embedded tissue section comprising the steps of a) providing a solid support, b) mounting the formalin-fixed, paraffin-embedded tissue section onto the solid support, c) removing the paraffin from the formalin-fixed, paraffin-embedded tissue section, d) heating the tissue section mounted on the solid support to retrieve epitopes at 50 to 70° C. for 12 to 24 h, and e) staining the tissue section mounted on the solid support, wherein at least step e) is performed in the presence of 0.5 to 3.0 M sodium chloride. The present invention further refers to a kit for performing the method.

Abstract: Principal components analysis is applied to data sets to fingerprint the dataset or to compare the dataset to a “wild file” that may have been constructed from data found in the dataset. Principal components analysis allows for the reduction of data used for comparison down to a parsimonious compressed signature of a dataset. Datasets with different patterns among the variables will have different patterns of principal components. The principal components of variables (or a relevant subset thereof) in a wild file may be computed and statistically compared to the principal components of identical variables in a data provider's reference file to provide a score. This constitutes a unique and compressed signature of a file that can be used for identification and comparison with similarly defined patterns from other files.

Abstract: Disclosed are systems and methods for generating graphical displays of analyte data and/or health information. In some implementations, the graphical displays are generating based on a self-referential dataset that are modifiable based on identified portions of the data. The modified graphical displays can indicate features in the analyte data of a host.

Abstract: Accurate measurements of the presence or absence of a target cell in a sample are provided. For example, the sample can be mixed with a plurality of transduction particles capable of binding to the target cells, the transduction particles being engineered to include a nucleic acid molecule formulated to cause the target cells to produce a plurality of detectable reporter molecules once the particles bind to and deliver the nucleic acid molecules into the one or more target cells. A set of signal data points are received that are associated with a quantity of reporter molecules and the signal data points are analyzed to accurately detect target cells in the sample. Systems and methods are disclosed.

Abstract: A method of determining a cell cycle stage distribution of cells includes the steps of providing a cell sample; pre-treating the cell sample with a solvent; mixing the pre-treated cell sample with a matrix solution to obtain a mixture solution; depositing the mixture solution on a sample plate; obtaining a mass spectrum analysis of the deposited mixture solution; and identifying at least two marker peaks from the mass spectrum analysis, wherein a ratio between the marker peaks provides information about a cell cycle stage distribution of the cell sample, wherein the mass spectrum analysis is a matrix-assisted laser desorption/ionization time-of-flight mass spectrum test.

Abstract: A system is disclosed in which a plurality of in-vitro diagnostic (IVD) devices each include a network communication device for connecting to a publicly accessible data network. For example, IVD devices are provided with a cellular modem for connecting to a public cellular network. These IVD devices connect to the data network upon completion of a diagnostic test, and upload results of the test, as well as other appropriate data, to a remote device which is also on the network. The IVD devices also download appropriate data from remote network elements. The remote network element may be a network element such as a Hospital Information System (HIS) or Laboratory Information System (LIS) database. Alternatively, the remote device may be a remote server or another IVD device. This connectivity enables the system to accumulate diagnostic test data, and to analyze, report, and/or update the IVD devices based on the accumulated data.

Abstract: The invention provides methods and systems of determining biopolymer profiles and correlations between structural units (residues) of a biopolymer based on sampling of the conformational space available to the molecule. The correlations between these structural units can further be used to find networks within a biopolymer such as the coupled residue networks in a protein. The invention also provides for designing and engineering biopolymers including polypeptides, nucleic acids and carbohydrates using the information derived from the conformation clustering and subsequent methods described herein.

Abstract: Presented herein are systems and methods for tomographic imaging that provide for rapid illumination of multiple excitation locations across a large field of view by one or more beams of excitation light from one or more excitation sources. The approaches described herein utilize a galvanometer optical scanner to scan a beam of excitation light through a plurality of locations across a scan region corresponding to the field of view to be imaged. In certain embodiments, the systems and methods described herein utilize beams of excitation light with specifically tailored shapes to maintain small spot sizes across the large scan region. The ability to scan over a large region while still maintaining small spot sizes provided by the approaches described herein allows for accurate, high-resolution tomographic imaging of large or multiple subjects, thereby expanding the capabilities of tomographic imaging systems.

Abstract: Methods and systems for creating demographic profiles of mobile communication network users. A demographic classification system analyzes network traffic, so as to estimate the specific combination of application classes installed on a given terminal, and usage patterns of the applications over time. This combination of application classes and their respective usage patterns are a highly personalized choice made by the user, and is therefore used by the system to deduce the user's demographic profile. The demographic classification system operates on monitored network traffic, as opposed to obtaining explicit and accurate information regarding the installed applications from the terminal. The system then deduces the demographic profile of the user from the list of estimated application classes.

Abstract: Data processing systems and methods according to various embodiments are adapted for automatically detecting and documenting privacy-related aspects of computer software. Particular embodiments are adapted for: (1) automatically scanning source code to determine whether the source code include instructions for collecting personal data; and (2) facilitating the documentation of the portions of the code that collect the personal data. For example, the system may automatically prompt a user for comments regarding the code. The comments may be used, for example, to populate: (A) a privacy impact assessment; (B) system documentation; and/or (C) a privacy-related data map. The system may comprise, for example, a privacy comment plugin for use in conjunction with a code repository.

Abstract: Automated image analysis used in vascular state modeling. Coronary vasculature in particular is modeled in some embodiments. Methods of “virtual revascularization” of a presently stenotic vasculature are described; useful, for example, as a reference in disease state determinations. Structure and uses of a model which relates records comprising acquired images or other structured data to a vascular tree representation are described.

Abstract: An online agricultural system manages and optimizes interactions of entities within the system to enable the execution of transaction and the transportation of crop products. The online agricultural system accesses historic and environmental data describing factors that may impact crop product transactions and/or transportation to determine market prices for crop products and crop product transportation. Responsive to receiving a request from an entity, the online agricultural system determines an optimal transaction for the entity, such as a price for selling a crop product, an available crop product for purchase, or a transportation opportunity to transport a crop product.

Abstract: A system for generating a microbiome balance plan including a computing device configured to receive at least a microbe indicator, retrieve a microbiome profile, assign the microbiome profile to a microbe category, determine, using the microbe category and the microbiome profile, a microbe reduction strategy, determining at least a first nutrient amount that aids in reduction of at least a first microbe, identify a first nutrition element, wherein the first nutrition element contains at least a first nutrient amount, determine, using the microbe category and the microbiome profile, a microbiome supplementation program, identifying at least a second microbe to be included to the microbiome profile, determining at least a second nutrition element that aids in supplementation of the at least a second microbe, identify a second plurality of nutrition elements, generate a microbiome balance plan, using the microbe reduction strategy and the microbiome supplementation program.

Abstract: Embodiments of the present disclosure relate to systems, methods, and apparatuses for using public information available from a variety of databases and Internet-based resources to obtain and group information to determine related chemical structures, undertake three-dimensional landscape analyses to access those related chemical structures and obtain other information about them including but not limited to patent data, patent family structures, litigation-related information, regulatory and marketing approval information, and other types of information that helps a user understand the medical, technical, and legal landscape associated with certain chemical structures of interest as well as related chemical structures. In addition, the embodiments provide a novel navigation paradigm of search results and content items so that the user can more intuitively and more efficiently get and manipulate information relating to chemical structures that are grouped based on their chemical similarities.

Abstract: Position adjustment of an analysis module in an automatic analyzer is performed where a position adjustment instruction and a position where the position adjustment is actually performed are separated from each other. Position adjustment of probe mechanisms is performed by operating probe position adjustment switches formed on a housing of an analysis module. Where interlocking covers (103 and 113) for the module are present, the probe mechanisms of the module are stopped when the closed covers are opened. The position adjustment switches (101A and 101B) and the position adjustment switch (104) are disposed to be separated from each other by a distance at which the switches cannot be operated by a single hand of an operator at the same time. Even when the cover (103) is opened by continuously pressing the position adjustment switch (104), the probe mechanisms of the module are in an operable state for the position adjustment.

Abstract: Mechanisms are provided that implement a plurality of heterogeneous causality models and a metaclassifier for predicting a likelihood of causality between a drug and an adverse event (AE). The plurality of heterogenous causality models process drug information to generate a plurality of risk predictions for a drug and AE pair. The risk predictions include a risk score or a risk label indicating a probability of the AE occurring with use of the drug. The plurality of heterogenous causality models provide risk predictions, associated with the drug and AE pair, to a metaclassifier which generates a single causality score value indicative of a probability of causality between the drug and the AE, of the drug and AE pair, based on an aggregation of the risk predictions from the plurality of heterogenous causality models. The metaclassifier outputs the single causality score value in association with information identifying the drug and AE pair.

Abstract: A method for evaluating the suitability of a mobile device having a camera for performing an analytical measurement is disclosed. The method includes providing the mobile device and providing a reference object having a predefined spatial extension in a spatial dimension. An image is taken of at least part of the reference object using the camera and is used to derive spatial resolution information that includes one or more numerical values that quantify the capability of the camera to resolve two or more objects in the image. A threshold value based on a minimum number of pixels in the spatial dimension within a region of interest in the image is provided and the spatial resolution information is compared with the threshold value. It is determined from the comparison whether the mobile device is suitable for performing the analytical measurement.

Abstract: Mechanisms are provided that implement a plurality of heterogeneous causality models and a metaclassifier for predicting a likelihood of causality between a drug and an adverse event (AE). The plurality of heterogenous causality models process drug information for the drug to generate a plurality of risk predictions for a drug and AE pair. The risk predictions include at least one of a risk score or a risk label indicating a probability of the AE occurring with use of the drug. The plurality of heterogenous causality models provide the risk predictions, associated with the drug and AE pair, to a metaclassifier which generates a single causality score value indicative of a probability of causality between the drug and the AE, of the drug and AE pair, based on an aggregation of the risk predictions from the plurality of heterogenous causality models. The metaclassifier outputs the single causality score value in association with information identifying the drug and AE pair.

Abstract: Systems and methods are disclosed for providing personalized chemotherapy and drug delivery using computational fluid dynamics and medical imaging with machine learning from a vascular anatomical model. One method includes receiving a patient-specific anatomical model of at least one vessel of the patient and a target tissue where a drug is to be supplied; receiving patient-specific information defining the administration of a drug; deriving patient-specific data from the patient specific anatomical model and/or the patient; determining one or more blood flow characteristics in a vascular network leading to the one or more locations in the target tissue where drug delivery data will be estimated or measured, using the patient-specific anatomical model and the patient-specific data; and computing drug delivery data at the one or more locations in the target tissue using transportation, spatial, and/or temporal distribution of the drug particles.

Abstract: Systems, apparatuses, and methods as described herein relate to analyzing plant nutrient-yield relationships and identifying optimum plant fertilization strategies to improve individual plant yields and overall plant yields. Nutrient data and yield data for plants in all yield ranges, rather than nutrient data and yield data for only the best-performing plants, is categorized based on the yield data and then analyzed to determine the yield as a function of nutrient condition for each nutrient element for the plants in each yield category. The nutrient-yield function can be modeled using a polynomial equation of various orders that can be used for determining the nutritional condition to improve crop production for plants in each yield category.

Abstract: A system includes a display device, a user interface, a memory, and a control system. The memory contains machine readable medium including machine executable code storing instructions for performing a method. The control system is coupled to the memory, and includes one or more processors. The control system is configured to execute the machine executable code to cause the control system to display, on the display device, a series of questions from mental health questionnaires. The series of questions includes text and answers for each question. From the user interface, a selection of answers of each of the displayed series of questions is received from a patient. Using a Bayesian Decision List, the received selection of answers is processed to output an indication of mental health of the patient. The indication of mental health identifies a kappa opioid receptor antagonist to which the patient would likely be a higher responder.

Abstract: A targeted panel with low sample input requirements from a tumor only sample may be processed to estimate mutation load in a tumor sample. The method may include: detecting variants in nucleic acid sequence reads corresponding to targeted locations in the tumor sample genome; annotating detected variants with an annotation information from a population database; filtering the detected variants, wherein the filtering rule set retains the somatic variants and removes germ-line variants; counting the identified somatic variants to give a number of somatic variants; determining a number of bases in covered regions of the targeted locations in the tumor sample genome; and calculating a number of somatic variants per megabase, provides an estimate of the mutation load per megabase in the tumor sample genome.

Abstract: An example method of diagnosing chronic kidney disease (CKD) includes obtaining an electronic medical record for a patient having medical data. The medical data includes an indication if the patient had been previously diagnosed with CKD, an indication if the patient had previously undergone a kidney transplant, an indication if the patient had previously undergone a renal dialysis procedure, an indication if the patient had previously been diagnosed with another type of kidney disease, one or more glomerular filtration rate (GFR) measurements associated with the patient, an indication if the patient has type 2 diabetes, and/or an indication if the patient has hypertension. The method also includes automatically determining that the patient has CKD or does not have CKD based on the medical data in the electronic record.

Abstract: An image analysis method and an image analysis system are disclosed. The method may include extracting training raw graphic data including at least one first node corresponding to a plurality of histological features of a training tissue slide image, and at least one first edge defined by a relationship between the histological features and generating training graphic data by sampling the first node of the training raw graphic data. The method may also include determining a parameter of a readout function by training a graph neural network (GNN) using the training graphic data and training output data corresponding to the training graphic data, and extracting inference graphic data including at least one second node corresponding to a plurality of histological features of an inference tissue slide image, and at least one second edge decided by a relationship between the histological features of the inference tissue slide image.

Abstract: The present disclosure is directed to encoding graphs. In particular, the methods and systems of the present disclosure can: receive data describing a first graph; and for each node, of one or more nodes, of the first graph, determine, based at least in part on data describing a second graph, and for each of multiple nodes of the second graph corresponding to the node of the first graph, a representation of a role of the node of the multiple nodes in a community to which the node of the multiple nodes belongs.

Abstract: An apparatus, method, and computer readable medium for determination of a drug for manufacture. The apparatus includes processing circuitry configured to receive input data related to one or more drug programs, acquire data from a database, generate one or more models based upon the acquired data from the database, determine, from the one or more models, one or more outputs related to the chronological event, select, based upon the determined one or more outputs, one of the one or more drug programs for manufacture, and transmit, to the manufacturing device via the network, manufacturing information related to the manufacture of the selected one of the one or more drug programs.

Abstract: Embodiments include systems and methods for determining cardiovascular information for a patient. A method includes receiving patient-specific data regarding a geometry of the patient's vasculature; creating an anatomic model representing at least a portion of the patient's vasculature based on the patient-specific data; and creating a computational model of a blood flow characteristic based on the anatomic model.

Abstract: Aspects of the present disclosure involve a system and method for malware detection. The system and method introduce a probabilistic model that can observe user transaction data over a predetermined window of time. Then, using posterior probability, the system can determine whether multiple users where present during the window observed.

Abstract: Methods and systems for user communication in an online community and/or website are provided. User profile data may be accessed to from a memory. An analysis system compares the user profile data for the user with a time-dependent goal to determine a result. The time-dependent goal may be determined based on an analysis of a set of (successful) users. A user interface system generates a representation of the result for prompting the user to initiate a communication to a different user based on the time-dependent goal. The representation may comprise a metered representation indicating an amount of progress, by the user, toward the time-dependent goal.