Abstract: The present invention provides improved methods for maintaining the physical separation and identity integrity of a biological cellular sample from a patient during processing. The invention enables parallel processing of biological cellular samples, such as patient samples, in a space and time efficient fashion. The methods of the invention find particular utility in processing patient samples for use in cell therapy.

Abstract: Embodiments herein relate to data storage and retrieval using information-encoding polymers encapsulated in droplets stored in a microfluidic droplet storage array. In various embodiments, a data storage apparatus may include a microfluidic droplet storage array to store one or more droplets containing one or more information-encoding polymer molecules in one or more droplet storage locations, and an interface coupled with the microfluidic droplet storage array to receive the one or more droplets from a data writer that writes the one or more droplets into the microfluidic droplet storage array. Other embodiments may be described and/or claimed.

Abstract: Roughly described, a computer-implemented evolutionary data mining system implements a genetic algorithm. The Genetic algorithm includes a requirements checkpoint, which selects individuals for discarding from the pool of candidate genomes which do not meet a predetermined minimum behavioral requirement for operating in production. The requirements checkpoint enforces an absolute minimum threshold for a behavioral characteristic of the individual, and is different from a competition step in which individuals are selected for removal on the basis of comparisons with each other. A requirements checkpoint may be inserted at various points within the genetic algorithm flow or at reasonable intervals during the training cycle. If at any of these checkpoints the minimum requirement is not met, the candidate individual may be removed from the candidate pool.

Abstract: The invention relates to a method and a corresponding arrangement for sequencing at least two biopolymers (6), wherein for each biopolymer (6) a sequence signal is picked up by a respective measured variable pickup on the basis of the sequence of the biopolymer (6), the sequence signals are transferred to a shift register (16) and buffer-stored therein, the buffer-stored sequence signals are transferred from the shift register (16) sequentially to an evaluation device (26) and evaluated therein. Each sequence signal is preferably produced here by means of a nanopore arrangement (10). A corresponding sequencing arrangement (11) has the measured variable pickups and the shift register (16) integrated in it, preferably in an electrical circuit, that is to say on a sensor array, for example. Each sequence signal can be amplified here by a preamplifier (14) prior to transfer to the shift register (16).

Abstract: For a sample whose components are separated from each other, an MS2 analysis is repeatedly performed by an MS/MS unit to obtain MS2 spectra. Peak information is collected from the MS2 spectrum acquired for each micro area on a two-dimensional chromatogram. A principal component analysis processor performs a principal component analysis on the collected peak information to determine a principal component score reflecting an overall tendency of the peak pattern of the MS2 spectra. A factor loading calculator computes a factor loading for each m/z from the principal component score. A correlation information calculator computes the coefficient of correlation between each MS2 spectrum and the factor loadings. Since the MS2 spectra reflect the chemical structure of a contained component, a two-dimensional image created based on the coefficient of correlation shows the distribution of a component having a similar chemical structure to a component which is characteristically contained in the sample.

Abstract: A sampler and a method of parameterization by calibration of digital circuits and non-invasive determination of the concentration of several biomarkers simultaneously and in real time. The method makes use of equipment which, from a set of luminous signatures—spectrum—provided by a spectrophotometer (E5) (E6), applies a digital filter that breaks down the spectrum into sub-spectra that shows the digital signatures of relevant markers and, through a digital decoder, the concentration of a set of several biomarkers is obtained simultaneously and in real time.

Abstract: Systems and a method for computationally analyzing genetic base pairs are provided. In one or more aspects, a system includes a memory and a processor coupled to the memory. The processor is configured to receive a number of genetic sequences from a genetic sequencer device. The processor can generate, for each genetic sequence, a binary sequence. Each binary sequence is partitioned into a set of binary strings. Each binary string includes multiple binary base pairs. A set of entropy values are determined, each entropy value is associated with a binary string, and an entropy distribution function (EDF) is generated based on the set of entropy values.

Abstract: Techniques for screening homopolymers, copolymers or blends for fabrication are disclosed. A data repository stores data points. Each data point comprises a structural repeating unit (SRU) and at least one material property value for the SRU. Each SRU is a homopolymer SRU, a copolymer component SRU or a blend component SRU. A machine determines a fingerprint for at least a subset of the SRUs in the data repository. The machine stores, in the data repository, each determined fingerprint in conjunction with a corresponding SRU. The machine generates a quantitative modeling engine to predict material property values, based on SRUs, for homopolymers, copolymers or blends. The quantitative modeling engine is based, at least in part, on the fingerprints. The machine identifies, using the quantitative modeling engine, at least one homopolymer SRU, copolymer SRU set or blend SRU set that has a material property value within a given range.

Abstract: There is described a method for evaluating a level of noise in a biosignal, the method comprising: receiving a time signal representative of a biological activity, the time signal comprising a biological activity component and a noise component; determining a modulation spectrum for the time signal, the modulation spectrum representing a signal frequency as a function of a modulation frequency; from the modulation spectrum determining a first amount of modulation energy corresponding to the biological activity component and a second amount of modulation energy corresponding to the noise component determining an indication of the level of noise using the first and second amounts of modulation energy; and outputting the indication of the level of noise.

Abstract: The present disclosure provides methods and mechanisms for measuring small masses attached to a substrate within a microcantilever. Specifically, the disclosure describes the measurement of small particles accumulated at a substrate that cannot be flowed through a microchannel within a microcantilever. A resonance measurement is acquired at a first time. A pair resonance measurements is then acquired at a second point in time—one with the test mass at a first position off or along the microcantilever, the second with the test mass at a second position along the microcantilever. Comparing the resonance frequencies determined for the two test mass positions allows for disambiguation of changes in the mass of the particles from changes in the resonant behavior of the microcantilever itself.

Abstract: Provided is a spectrum analysis apparatus including a processing unit configured to generate analysis data using an analysis function in which a linear function and a logarithmic function are included as function elements and an intensity value is set as a variable from measurement data including the intensity value of light acquired by detecting the light from a measurement target object using a plurality of light-receiving elements having different detection wavelength bands.

Abstract: A system for visualizing clinical effects can perform the following actions: obtain, for each of multiple stimulation instances, an estimation of a region stimulated during the stimulation instance and at least one assessment for at least one stimulation effect or stimulation side effect; assign, for each of the stimulation instances, a tag, selected from multiple tags, to each one of multiple voxels within the region stimulated during the stimulation instance, where the tag is selected based on the at least one assessment for the stimulation instance; and assign a voxel type, selected from multiple voxel types, to each of multiple voxels based on the tags assigned to the voxels. Optionally, the actions can also include display, on a display, a representation of multiple voxels with each of the displayed voxels having a graphical feature associated with the voxel type assigned to that voxel.

Abstract: This disclosure provides methods, systems, compositions, and kits for the multiplexed detection of a plurality of analytes in a sample. In some examples, this disclosure provides methods, systems, compositions, and kits wherein multiple analytes may be detected in a single sample volume by acquiring a cumulative measurement or measurements of at least one quantifiable component of a signal. In some cases, additional components of a signal, or additional signals (or components thereof) are also quantified. Each signal or component of a signal may be used to construct a coding scheme which can then be used to determine the presence or absence of any analyte.

Abstract: Systems and methods for analyzing first and second strings against a ground truth string are provided. A construct representing a plurality of components is obtained, each component for a different portion of the truth string. The construct comprises a plurality of measurement string sampling pools each having an identifier and a corresponding plurality of measurement samplings corresponding to one or two of the components. Each sampling has the identifier and a portion of the first or second string. Samplings are assigned to first, second or third classes when coding a portion of the first string, second string, or both the first and second string. First and second positions are tested for sequence events by calculating a plurality of sequence event models using assumptions on the components having samplings encompassing the first and second positions and class assignments. These assumptions are updated using the calculated models and the models are recalculated.

Abstract: There is provided herein, systems, devices and methods for determining a risk of recurrence of cancer following a cancer therapy of a patient by determining genomic instability of a tumour. There is further provided systems, devices and methods for categorizing a patient into a prognostic cancer sub-group by using copy number alterations.

Abstract: The present disclosure describes systems and methods for generating a priority score for a variant of a gene based on its potential significance to a disease. Priority scores may be calculated for multiple variants, and the variants may be ranked based on the generated priority scores.

Abstract: Embodiments develop a predictive dose-volume relationships for a radiation therapy treatment is provided. A system includes a memory area for storing data corresponding to a plurality of patients, wherein the data comprises a three-dimensional representation of the planning target volume and one or more organs-at-risk. The data further comprises an amount of radiation delivered to the planning target volume and the one or more organs-at-risk. The system further includes one or more processors programmed to access, from the memory area, the data and to develop a model that predicts dose-volume relationships using the three-dimensional representations of the planning target volume and the one or more organs-at-risk. The model is being derived from correlations between dose-volume relationships and calculated minimum distance vectors between discrete volume elements of the one or more organs-at-risk and a boundary surface of the planning target volume.

Abstract: A method for computing free energy difference between a reference molecule and a target molecule. The target molecule has the common set of atoms PAB and a set of atoms PB. The method includes applying a potential to restrain an interaction of the additional atomic component from the set of atoms PB with the common set of atoms PAB in the initial state. The method includes determining one or more transition states along a transformation path between the initial state and target state. The method includes scaling the restrain potential correspondingly along the transformation path until the potential becomes zero when a corresponding end state is reached, and calculating the free energy difference between the reference molecule and the target molecule using a value obtained along the transformation path from the initial state to the target state.

Abstract: The present invention provides processes for determining accurate risk probabilities for fetal aneuploidies. Specifically, the invention provides non-invasive evaluation of genomic variations through chromosome-selective sequencing and non-host fraction data analysis of maternal samples.

Abstract: The present invention provides processes for determining accurate risk probabilities for fetal aneuploidies. Specifically, the invention provides non-invasive evaluation of genomic variations through chromosome-selective sequencing and non-host fraction data analysis of maternal samples.