Abstract:
A method of predicting outcome in a subject with for example Her2+ (ERα−) breast cancer comprising: a. determining a HTICs expression signature comprising determining an expression level of 2 or more HTICS biomarkers selected from Aurkb, Ccna2, Scrn1, Npy, Atp7b, Chaf1b, Ccnb1 Cldn8, Nrp1, Ccr2, C1qb, Cd74, Vcam1, Cd180, Itgb2, Cd72, St8sia4 Kif11, Plk1, Chek1, Mphosph6, Coro1a, Ccl5, Cd3e Hcls1, Vav1, Plek, Arhgdib, Il2rg, Sash3, Lck, Il2rb, Cybb, Cd79b, Sell, Ccnd2, Tnfrsf1b, Rftn1, Rac2 and Ly86; and b. calculating a signature score, the signature score comprising a sum of HTICs biomarker expression parameters; wherein a signature score greater than a selected cut-off or control signature score is indicative of a poor outcome (HTICS+) and a signature score less than a selected cut-off is indicative of a good outcome (HTICS−). The methods can be used to prognose outcome and/or select suitable treatment. Arrays and kits for use with the methods are also provided.
Abstract:
A system for tracking drugs during a transfer and administering process is configured to reduce labeling errors that can occur during that process. The system includes a storage container reader configured to read a set of one or more storage-container-associated machine-readable indicia positioned on a container containing a drug. The set of one or more storage-container-associated machine-readable indicia identifies the drug. The system further includes, at the point of care of a patient, an indicia-generating device configured to generate machine readable drug-delivery-container-associated indicia identifying the drug based on the storage-container-associated machine-readable indicia. A drug delivery container reader, also located at the point of care, is configured to read both sets of machine readable indicia to verify that the drug delivery container has been correctly labelled. A method implemented by the system results in the reduction in labeling errors.
Abstract:
The application provides methods of prognosmg, diagnosing, screening and classifying lung cancer patients into poor survival groups or good survival groups. A number of altered genomic regions have been identified that distinguish subtype of lung adenocarcinoma (ADC), specifically between bronchioloalveolar carcinoma (BAC) and invasive ADC with BAC features (AWBF), and genes and biomarkers whose expression are altered in individuals with pulmonary ADC according to different survival outcomes. The amplification and/or deletion of these genomic regions, and/or the biomarker expression profiles can be used to classify patients with ADC into a BAC group with excellent survival outcome, or an invasive ADC with BAC features group with higher risk of developing metastatic recurrence and poorer survival outcome. The application also includes kits for use in the methods of the application.
Abstract:
A system for determining a bacterial load of a target is provided. The system includes an adaptor for configuring a mobile communication device for tissue imaging and a mobile communication device. The adaptor includes a housing configured to be removably coupled to a mobile communication device and, an excitation light source for fluorescent imaging. The excitation light source is configured to emit light in one of ultraviolet, visible, near-infrared, and infrared ranges.
Abstract:
A device for fluorescence-based imaging and monitoring of a target is provided. The device includes a light source emitting light for illuminating the target, the emitted light including at least one wavelength or wavelength band causing at least one biomarker associated with the target to fluoresce, and a light detector for detecting the fluorescence.
Abstract:
Provided is a method of treating a subject with an α-synucleinopathy neurodegenerative disorder, the method comprising administering one or more therapeutic(s) to the subject, a method of treating a subject with a high risk of developing an α-synucleinopathy neurodegenerative disorder, the method comprising administering one or more therapeutic(s) to the subject, wherein the one or more therapeutic(s) is or comprise rifabutin, one or more nucleoside analog reverse transcriptase inhibitor(s), optionally selected from lamivudine, emtricitabine, tenofovir disoproxil funiarate, tenofovir alafenamide, abacavir, zidovudine, didanosine, and/or stavudine, losartan, or a combination thereof.
Abstract:
In an aspect, there is provided a method for diagnosing or prognosing a subject with cancer, the method comprising: providing cancer DNA sequencing data from a cancer sample comprising cancer DNA from the subject; comparing the cancer DNA sequencing data with control DNA sequencing data to determine genetic aberrations; determining, from the genetic aberrations, the clonal and subclonal populations present in the sample; constructing a phylogenetic map of the clonal and subclonal populations; assigning to the subject a risk level associated with a better or worse patient outcome or response to therapy; wherein a relatively higher risk level is associated with a higher level of evolution and number of subclonal populations and a relatively lower risk level is associated with a lower level of evolution and number of subclonal populations.
Abstract:
According to an aspect, there is provided a computer implemented method and an epilepsy monitoring unit for diagnosis, investigation or treatment of seizures. The method includes identifying ictal-related chirp patterns from recordings of electrophysiological signals by determining onset and offset times of the ictal-related chirp patterns, characterizing the ictal-related chirp patterns, classifying spectro-temporal morphology of the ictal-related chirp patterns. According to an aspect, there is provided a computer implemented method for electrophysiological signals. The method including extracting a neuromarker from neural activities recorded as electrophysiological signals and characterizing ictal-related patterns in the electrophysiological signals during ictal discharge. The neuromarker is for assessment of progression of a seizure or efficacy of anti-seizure pharmacological agents.
Abstract:
The present disclosure provides methods, systems, and devices for coregistering imaging data to form three-dimensional superimposed images of a biological target such as a wound, a tumor, or a surgical bed. A three-dimensional map can be generated by projecting infrared radiation at a target area, receiving reflected infrared radiation, and measuring depth of the target area. A three-dimensional white light image can be created from a captured two-dimensional white light image and the three-dimensional map. A three-dimensional fluorescence image can be created from a captured two-dimensional fluorescence image and the three-dimensional map. The three-dimensional white light image and the three-dimensional fluorescence image can be aligned using one or more fiducial markers to form a three-dimensional superimposed image. The superimposed image can be used to track wound healing and to excise cancerous tissues, for example, breast tumors. Images can be in the form of videos.
Abstract:
Disclosed are apparatuses and methods for irradiating a perfusate. The apparatus includes a tank which defines a first chamber. A separator is located inside the first chamber. The separator defines a second chamber. The first chamber and the second chamber are concentric and have substantially annular cross sections, each having at least one diameter and a substantially common longitudinal axis. A perfusate is introduced into the first chamber by an inlet. A UV radiation-emitting device is disposed inside the second chamber for providing irradiation to the perfusate. Irradiated perfusate is removed from the tank by an outlet. Other apparatuses and systems are described and methods for inactivating micro organisms by performing EVP and irradiating the perfusate.