Abstract: Disclosed here in are compounds and methods of diagnosing Alzheimer's Disease or a predisposition thereto in a mammal, the method comprising administering to the mammal a diagnostically effective amount of a radiolabeled compound, wherein the compound is selected from the group consisting of radiolabeled flavones, coumarins, carbazoles, quinolinones, chromenones, imidazoles and triazoles derivatives, allowing the compound to distribute into the brain tissue, and imaging the brain tissue, wherein an increase in binding of the compound to the brain tissue compared to a normal control level of binding indicates that the mammal is suffering from or is at risk of developing Alzheimer's Disease.

Abstract: The present disclosure provides methods for treating cancer in a patient in need of such treatment, the method includes prequalifying a patient's therapeutic treatment by performing a molecular imaging procedure to the patient using a labeled biomarker specific for a cancer target at the tumor site; and administering a therapeutic effective amount of a compound comprising a targeting agent linked to a chemotherapeutic or a targeting agent linked to an antibody. Embodiments of the present invention also include compounds and compositions for using such methods.

Abstract: Macro- and microfluidic devices and related technologies, and chemical processes using such devices. More specifically, the devices may be used for a fully automated synthesis of radioactive compounds for imaging, such as by positron emission tomography (PET), in an efficient, compact and safe to the operator manner. In particular, embodiments of the present invention relate to an automated, multi-run, microfluidic instrument for the multi-step synthesis of radiopharmaceuticals, such as PET probes, comprising a remote shielded mini-cell containing radiation-handing components.

Abstract: A computer-implemented method for privacy-preserving data mining to determine cancer survival rates includes providing a random matrix B agreed to by a plurality of entities, wherein each entity i possesses a data matrix Ai of cancer survival data that is not publicly available, providing a class matrix Di for each of the data matrices Ai, providing a kernel K(Ai, B) by each of said plurality of entities to allow public computation of a full kernel, and computing a binary classifier that incorporates said public full kernel, wherein said classifier is adapted to classify a new data vector according to a sign of said classifier.

Abstract: Methods and apparatus to assess current aspects of Quality Control useful for release of radioactive compounds for imaging, such as PET tracers as injectables, in an automated manner, without user interference, and in compliance with regulatory guidelines. The present method and system relates to an integrated automated quality control analysis of a substance utilizing a single sample injection for a plurality of inline quality control tests. A quantitative analysis of the sample via the plurality of quality control tests is conducted. A measurement value of each of the plurality of quality control parameters is determined and a comparison of each measurement value of the plurality of quality control parameters with a predetermined corresponding criterion value is made. A cumulative quality rating for the sample is determined and the validated sample is released based on the quality rating.

Abstract: The present invention provides systems and methods for automatically ensuring adherence to clinical guidelines during the course of patient treatments. A data source contains patient records, including records for patients being treated; a guidelines knowledge base contains clinical guidelines; and a quality adherence engine is configured to monitor adherence with the clinical guidelines for patients being treated. At least some of the patient records may include information obtained from mining unstructured patient data. The system includes an output component for outputting quality adherence information. The outputted quality adherence information may include reminders, including reminders to take clinical actions in accordance with the clinical guidelines. The outputted quality adherence information may also include warnings that the clinical guidelines have not been observed.

Abstract: The present invention provides a graphical user interface for presentation, exploration and verification of patient information. In various embodiments, a method is provided for browsing mined patient information. The method includes selecting patient information to view, at least some of the patient information being probabilistic, presenting the selected patient information on a screen, the selected patient information including links to related information. The selected patient information may include elements, factoids, and/or conclusions. The selected patient information may include an element linked to unstructured information. For example, an element linked to a note with highlighted information may be presented. Additionally, the unstructured information may include medical images and waveform information.

Abstract: Methods and devices for a fully automated synthesis of radioactive compounds for imaging, such as by positron emission tomography (PET), in a fast, efficient and compact manner are disclosed. In particular, the various embodiments of the present invention provide an automated, stand-alone, hands-free operation of the entire radiosynthesis cycle on a microfluidic device with unrestricted gas flow through the reactor, starting with target water and yielding purified PET radiotracer within a period of time shorter than conventional chemistry systems. Accordingly, one aspect of the present invention is related to a microfluidic chip for radiosynthesis of a radiolabeled compound, comprising a reaction chamber, one or more flow channels connected to the reaction chamber, one or more vents connected to said reaction chamber, and one or more integrated valves to effect flow control in and out of said reaction chamber.

Abstract: A method for multiple-label data analysis includes: obtaining labeled data points from more than one labeler; building a classifier that maximizes a measure relating the data points, labels on the data points and a predicted output label; and assigning an output label to an input data point by using the classifier.

Abstract: Medical ontology information is used for mining and/or probabilistic modeling. A domain knowledge base may be automatically or semi-automatically created by a processor from a medical ontology. The domain knowledge base, such as a list of disease associated terms, is used to mine for corresponding information from a medical record. The relationship of different terms with respect to a disease may be used to train a probabilistic model. Probabilities of a disease or chance of indicating the disease are determined based on the terms from a medical ontology. This probabilistic reasoning is learned with a machine from ontology information and a training data set.

Abstract: A medical concept is learned about or inferred from a medical transcript. A probabilistic model is trained from medical transcripts. For example, the problem is treated as a graphical model. Discrimitive or generative learning is used to train the probabilistic model. A mutual information criterion can be employed to identify a discrete set of words or phrases to be used in the probabilistic model. The model is based on the types of medical transcripts, focusing on this source of data to output the most probable state of a patient in the medical field or domain. The learned model may be used to infer a state of a medical concept for a patient.

Abstract: The present application discloses methods for identifying inhibitors with high binding-affinity for the carbonic anhydrase-IX (CA-IX) enzyme using click chemistry and uses the candidates thereof as positron emission tomography (PET) imaging agents.

Abstract: The present application relates to microfluidic devices and related technologies, and to chemical processes using such devices. More specifically, the application discloses a fully automated synthesis of radioactive compounds for imaging, such as by positron emission tomography (PET), in a fast, efficient and compact manner. In particular, this application describe an automated, stand-alone, microfluidic instrument for the multi-step chemical synthesis of radiopharmaceuticals, such as probes for PET and a method of using such instruments.

Abstract: A method for detecting an object within a structure includes performing tobogganing on image data to obtain one or more voxel clusters and to provide a rough indication of the structure. Each of the obtained voxel clusters is characterized as an object candidate and a set of features are determined for each object candidate. Correlations between pairs of the object candidates are measured. Each of the object candidates is classified as either a true object or a non-object based on the set of features and the measured correlations.

Abstract: A system and method for screening for coronary heart disease is provided. The method includes the steps of retrieving a test for assessing risk of coronary heart disease, the test including a plurality of data fields relating to coronary risk factors; accessing a database to populate the data fields with information of an individual patient; and calculating a risk assessment of the individual patient developing coronary heart disease. A system includes a first database including a plurality of structured computerized patient records; a second database including a knowledge base relating to coronary heart disease, the second database including at least one test for determining coronary heart disease risk; and a processor for retrieving the at least one test from the second database, populating the at least one test with patient information retrieved from the first database and calculating a risk assessment for at least one patient.

Abstract: A system and method for lung cancer screening is provided. The system includes a database including structured patient information for a patient population and a domain knowledge base including information about lung cancer; an individual patient record; and a processor for analyzing the patient record with data from the database to determine if a patient has indications of lung cancer. The method includes the steps of inputting patient-specific data into a patient record; performing at least one lung cancer screening procedure on a patient, wherein at least one result from the at least one procedure is inputted into the patient record in a structured format; and analyzing the patient record with a domain knowledge base to determine if the patient has indications of lung cancer.

Abstract: Systems and methods are provided for automated assessment of regional myocardial function using wall motion analysis methods that analyze various features/parameters of patient information (image data and non-image data) obtained from medical records of a patient. For example, a method for providing automatic diagnostic support for cardiac imaging generally comprises obtaining image data of a heart of a patient, obtaining features from the image data of the heart, which are related to motion of the myocardium of the heart, and automatically assessing regional myocardial function of one or more regions of a myocardial wall using the obtained features.