Abstract: To provide an information processing apparatus, a particle sorting system, a program, and a particle sorting method that practice a spectral type analysis usable for sorting particles. The information processing apparatus according to an aspect of the present technology includes: an analysis unit; a learning unit; and a discrimination unit. The analysis unit calculates fluorophore information indicating respective amounts of luminescence of a plurality of types of fluorophores on the basis of detection data indicating amounts of luminescence of fluorescence at respective wavelength bands, the fluorescence having been emitted from a particle irradiated with excitation light, discriminates whether or not to treat the particle as a process target in accordance with the fluorophore information, and generates teaching data by associating a result of the discrimination with the detection data.

Abstract: An operation appropriateness determination system includes an authentication apparatus that identifies an operator on a basis of a feature of the operator and that outputs information for identifying the operator, a biometric sensing apparatus that obtains biological information regarding the operator and that outputs the biological information, an operation sensing apparatus that detects a load of an operation that is being performed by the operator and that outputs operation information indicating the load of the operation, a storage device, and a signal processing apparatus.

Abstract: A computer-implemented method is disclosed which includes receiving biological sample information from one or more subjects at a first time period. The method further includes receiving biological sample information from the one or more subjects at a second time period. The method further includes comparing the biological sample information at the second time period with the biological sample information at the first time period. The method further includes generating a precedence graph based on results of the comparison. The method further includes determining one or more actions based on the precedence graph.

Abstract: The present disclosure provides to graphical user interfaces for controlling a flow therapy apparatus. The graphical user interface can provide a display of flow therapy treatment information and indicators of a patient's health. The graphical user interface can be configured to display the information associated with the patient on one or more user interface screens.

Abstract: Quality of a narrative is characterized by receiving data that includes a narrative text. This narrative text is then tokenized and events are extracted from the tokenized words. The extraction can use, in parallel, two or more different extraction techniques. The extracted events are then extracted so that a waveform can be generated based on the aggregated extracted events that characterizes a plurality of emotional arcs within the narrative text. Subsequently, a plurality of waveform elements are extracted from the waveform. The narrative quality (or other quality) of the narrative text is then scored based on the extracted plurality of waveform elements and using a machine learning model trained to correlate emotional arc waveforms with narrative quality scores. Related apparatus, systems, techniques and articles are also described.

Abstract: This disclosure provides for devices, methods, and systems for generating a plurality of droplets within a collecting container at an extremely high rate (e.g., of at least 1 million droplets per minute, etc.), each of the plurality of droplets comprising an aqueous mixture for a digital analysis, wherein upon generation, the plurality of droplets is stabilized in position within a region of the collecting container. The inventions enable partitioning of samples for digital analyses at unprecedented rates, where readout of signals from targets within such partitions can still be achieved in accordance with various assays.

Abstract: One variation of a method for interpreting pressures in plants includes: accessing a first image of a first set of sentinel plants in a field; accessing a second image of a second set of sentinel plants in the field, recorded during a first period; interpreting a first pressure of a stressor in the first set based on features extracted from the first image, captured during the first period; interpreting a second pressure in the second set based on features extracted from the second image; deriving a model associating pressure at the first set and pressure at the second set based on the first pressure and the second pressure; interpreting a third pressure in the first set based on features extracted from a third image captured during a second period; and predicting a fourth pressure in the second set during the second period based on the third pressure and the model.

Abstract: The subject matter of this disclosure generally relates to a medical device system and related methodologies that leverage data associated with the use of a meal transaction application, such as an application for ordering food delivery. Data generated by the meal transaction application can be leveraged by a patient care system or application for purposes of diet or calorie logging. Alternatively or additionally, the meal transaction data can be leveraged for purposes of controlling the administration of therapy by a medication delivery system, such as an insulin infusion pump.

Abstract: This invention presents a multisensor-connected, AI-enabled telehealth system for assisting healthcare providers with differential diagnosis and patients with early health concern detection. The system comprises a multi-sensor medical device with at least seven sensors, a secure cloud-based platform, and an interactive telehealth module. The device preprocesses and securely transmits patient information to the cloud platform, where an ensemble of deep learning models analyzes the data to generate ranked potential diagnoses with likelihood scores. The telehealth module facilitates communication between providers, patients, and the cloud platform, presenting visualizations and receiving feedback. The system continuously updates and fine-tunes its models using incremental learning algorithms, adapting to new data while retaining previous knowledge. It also generates alerts for providers and patients when deviations from normal physiological patterns are detected, accompanied by explainable AI visualizations.

Abstract: Provided herein are improved methods for detecting aneuploidy in a sample. The methods in certain embodiments are used for the analysis of circulating DNA in serum samples, such as circulating fetal DNA or circulating tumor DNA. In certain embodiments, chromosome or chromosome segments of interest are used to set a bias model and/or a control value for a z-score determination, in illustrative examples without the use of a control chromosome.

Abstract: The present invention provides methods for determining the phenotype (e.g., gain-of-function or loss-of-function) of a mutation in an ion channel or receptor by using a dynamic voltage clamp. The invention also features methods of determining whether a mutation is a gain-of-function or loss-of-function mutation and treating a disease or disorder associated with the particular gain-of-function or loss-of-function mutation.

Abstract: Provided are methods and systems for sample quality control in CNV detection using test samples comprising cell-free nucleic acid fragments originating from a mother and a fetus. The method involves determining an exclusion region defined by at least a fetal fraction limit of detection (LOD) curve. The fetal fraction LOD curve varies with coverage values and indicates minimum values of fetal fractions needed to achieve a detection criterion given different coverages.

Abstract: A method may include executing an entity resolution microservice programmed to receive an entity-specific data request for entity-specific data for an entity from a plurality of entities. An application programming interface (API) call is transmitted to an entity profile database that programs the entity profile database to identify entity-specific data in data records matching the entity-specific data in the entity-specific data request and transmit to the entity resolution microservice a compressed representation of the entity-specific data identified in the at least one entity profile database. The compressed representation may be received and the compressed representation may be transformed to an uncompressed representation. An entity-specific database query request for a search engine to perform a database search for additional entity-specific data is generated based on the uncompressed representation.

Abstract: The information processing system includes a classification unit, an acquisition unit, a selection unit, an evaluation unit, and a generation unit. The classification unit classifies a plurality of fragrances into segments defined corresponding to a combination of one of first classification items on a first classification axis with one of second classification items on a second classification axis. The acquisition unit accepts input of information related to the first classification axis from the target person. The selection unit determines one of the first classification items based on the information and selects a fragrance for evaluation from each of segments that correspond to the first classification item and whose second classification items differ from each other. The evaluation unit acquires, for each of the fragrances for evaluation, evaluation information of a scent from the target person.

Abstract: A method for determining if a tissue is ganglionic is provided. The method comprises a) generating at least one hyperspectral Raman image of a tissue from a region of interest in a tissue suspected to contain ganglion cells that was optionally identified by a method comprising autofluorescence (AF) and Second Harmonic generation (SHG) imaging of the tissue; and b) analyzing any of the images for one or more of the following: i) optical excitation; ii) chemical information or emission spectra; or iii) AF, SHG, and/or Raman signatures, wherein the analysis provides indicators that the region of interest is either ganglionic or non-ganglionic. A system for analysis of in vivo tissue or ex vivo tissue samples including a multiphoton autofluorescence microscope, a Second Harmonic Generation microscope, and a hyperspectral Raman microscope in operative communication is also provided.

Abstract: Described herein are methods, devices and systems for predicting ventilator associated pneumonia (VAP). In an example, data of a patient including one or more features useful in predicting VAPs are accessed and the features are extracted. A model is activated based on a time parameter associated with mechanical ventilation or length of stay in ICU. The extracted features are evaluated automatically by the activated model to determine a probability that a VAP will occur. If it is determined, based on the evaluating, that a VAP has a probability of occurring that exceeds a threshold, an indication that the VAP is predicted to occur may be provided. Other examples are disclosed and claimed.

Abstract: A method includes receiving data pertaining to a user that uses a treatment apparatus to perform a treatment plan. The data includes characteristics of the user, the treatment plan, and a result of the treatment plan. The method includes assigning the user to a cohort representing people having similarities to the characteristics of the user. The method includes receiving second data pertaining to a second user, the second data comprises characteristics of the second user. The method includes determining whether at least some of the characteristics of the second user match with at least some of the characteristics of the user, assigning the second user to the first cohort, and selecting, via a trained machine learning model, the treatment plan for the second user, and controlling, based on the treatment plan, the treatment apparatus while the second user uses the treatment apparatus.

Abstract: The present disclosure provides systems and methods for analyzing a mixed population of cells. In particular, the present disclosure provides systems and methods for digital cytometry of a biological sample, digital analysis of a biological sample, digital purification of a biological sample, evaluation of a disease in an individual, and prediction of a clinical outcome of a disease therapy.

Abstract: This provides a system and method for analyzing and diagnosing conditions, such as cancer, based upon stained tissue sample slides prepared by users from patient tissue taken, for example, in a biopsy procedure. A convolutional neural network (CNN) is generated at training time. Slide images are acquired/scanned, and individual cell nuclei from the images are annotated, using IHC. H&E images are acquired/scanned prior to a washout intermediate step from the same slides/tissue samples. IHC is performed on the same tissue layer, which was scanned and used to retrospectively annotate the H&E WSI. IHC is used to annotate a ground truth mask for machine learning. The resultant process achieves a high degree of spatial resolution in detecting individual IHC positive nuclei, yielding process that is almost entirely automated, employing materials that are commonly available in clinical practice. In runtime, users access the CNN to perform analysis on patient slides.

Abstract: An information processing device including at least one processor, wherein the processor is configured to: acquire projection surface size information indicating a size of a projection surface of a compression member in a mammography apparatus that irradiates a breast compressed by the compression member with radiation to capture a radiographic image; generate a projection image having a size corresponding to the projection surface size information; and perform control to direct an image projection unit, which projects the projection image onto the projection surface of the compression member, to project the projection image onto the projection surface.

Abstract: A sample analysis system and a sample management method are provided. The sample analysis system includes: one or more analysis devices configured to test a sample; a scanning component configured to scan the sample to obtain scanning information before testing the sample by the analysis devices; an image information obtaining component configured to acquire image information of a region in the sample containing a sample identifier; a processor configured to identify the sample identifier of the sample according to at least one of the scanning information or the image information of the sample. The system can obtain the sample identifier of a sample in two ways, thus improving the efficiency of sample test.

Abstract: A signal processing system used for GMR-based detection of a target analyte in a sample under test, comprising: a measurement circuit configuration unit configured to build a GMR sensor measurement circuit by routing in at least one GMR sensor, and to build a reference resistor measurement circuit by routing in at least one reference resistor; a magnetic field excitation unit configured to apply an AC magnetic field of frequency ?2 to the at least one GMR sensor; a carrier signal applying unit configured to apply a carrier signal of frequency ?1 to the GMR sensor measurement circuit, and apply carrier signals of frequency ?1, ?1+?2, and ?1??2 to the reference resistor measurement circuit; a measurement signal pick-up unit coupled to the measurement circuits, configured to collect reference resistor measurement signals from the reference resistor measurement circuit and GMR sensor measurement signals from the GMR sensor measurement circuit; and a phase sensitive solution unit coupled to the measurement signal

Abstract: Disclosed herein are methods, compositions, and devices for use in the early detection of cancer. The methods include preparing cell-free nucleic acid molecules from a subject for sequencing, sequencing a panel of regions in the cell-free nucleic acid molecules, and detecting one or more markers that are indicative of a cancer.

Abstract: Livestock may be managed by a variety of systems, processes, and techniques. In particular implementations, the properties of water may be monitored by automated techniques and treated water may be provided to animals. In certain implementations, sick, or potentially sick, livestock may be provided with treated water to improve their health. The automated techniques may include monitoring the movements and/or water consumption of the livestock and predicting which ones may be sick based on their movements and/or water consumption. In some implementations, a water trough may contain multiple segments. The water properties in the segments may be maintained at different states.

Abstract: A method of building an abnormality quantifier comprising: generating at least one selected first dataset comprising measurements of a normal population or sample and at least one second selected dataset comprising measurements of an abnormal population or sample; generating an image or map by imagizing the datasets; identifying a normality zone within the image or map using the first dataset; identifying an abnormality zone within the image or map using the second dataset; determining a definition of abnormality based on a comparison of the normality zone and the abnormality zone; receiving or accessing at least one third dataset comprising measurements of a both known normal and abnormal population or sample; testing the performance of the initially defined abnormality against one or more preset performance criteria; and outputting an abnormality quantifier when optimal performance has been reached.

Abstract: Risk based lifecycle management systems are presented herein. A system determines a process ontology of a process including process steps of the process and objects including attributes corresponding to performances of the process steps; associates a process step with respective objects using a tracing matrix; detects an event corresponding to a performance of the process step; and associates the event with the process step and the respective objects using the tracing matrix. In response to determining, utilizing a machine learning model, that the event corresponds to a defined risk profile including defined failure modes, the system selects a group of defined failure modes as candidates of causality of the event representing potential multi-variant causes of the event, and sends the candidates of causality of the event directed to a user identity to facilitate mitigation of effects of the potential multi-variant causes of the event on the process.

Abstract: A data processing apparatus includes: a data acquisition unit that acquires waveform data corresponding to biological information correlated with a heart rate and generates, on the basis of the acquired waveform data, a plurality of pieces of time series data whose starting timings are different from each other; a correlation value calculation unit that calculates an autocorrelation value of the plurality of pieces of time series data for each of a plurality of lags; and an image generation unit that generates the autocorrelation image data in which the autocorrelation values are indicated for each of coordinates corresponding to a plurality of combinations of a timing and a lag by mapping pixel values corresponding to autocorrelation values corresponding to the combinations of the timing and the lag to a coordinate plane, in which the timing is assigned to a first axis and the lag is assigned to a second axis.

Abstract: A plant selection apparatus has a storage means for storing a plurality of image datasets of plants and associated plant information including at least one of genotype information of the plants, phenotype information of the plants, and pedigree information of the plants. A selection unit preselects a subset of the plants. A display device displays the image datasets of the subset of the plants. A tracking unit generates observation information including information on which of the subset of the plants is observed, and the storage means is configured for storing the observation information. A training unit trains a classifier based on the observation information, the input selection, and the plant information including said at least one of the genotype information, the phenotype information, and the pedigree information.

Abstract: A system and method for recognizing (reading) the tongue movements, vocalizations, and throat vibrations of a person and converting (translating) them into meaningful synthesized words, which could be pronounced by an electronic speaker and/or displayed on a display. Often a patient/person who has lost the ability to speak may still be able to move their tongues, or make unfathomable sounds, which cannot be recognized as intelligible words. The system and method can continuously record the movement of the patient's tongue, vocalizations, and throat sounds and extract small video segments corresponding to different words attempted by the patient. Each of these video segments can then be analyzed by AI software or other configured software to match the specific tongue movement with a pre-learned reference word, and once identified, the computer/system can speak or verbalize the word, and/or display it on a screen.

Abstract: Systems and methods can quantify the tumor microenvironment for diagnosis, prognosis and therapeutic response prediction by fusing different data types (e.g., morphological information from histology and molecular information from omics) using an algorithm that harnesses deep learning. The algorithm employs tensor fusion to provide end-to-end multimodal fusion to model the pairwise interactions of features across multiple modalities (e.g., histology and molecular features) and deep learning. The systems and methods improve upon traditional methods for quantifying the tumor microenvironment that rely on concatenation of extracted features.

Abstract: Methods for selecting a cancer patient for immunotherapy comprise establishing a total passenger gene mutation burden from a tumor of a cancer patient, generating a background distribution for the mutational burden of the tumor, normalizing the total passenger gene mutation burden against the background distribution, and categorizing the cancer patient as an immunotherapy responder when the total passenger gene mutation burden is greater than the mean of the background distribution. When the cancer patient is an immunotherapy responder, the patient may be administered an immunotherapy regimen that comprises activation/inhibition of T cell receptors that promote T cell activation and/or prolong immune cytolytic activities.

Abstract: In a method for predicting a property of potential protein formulations, a set of formulation descriptors is classified as belonging to a specific one of a plurality of predetermined groups that each correspond to a different value range for a protein formulation property. Classifying the set of descriptors includes applying at least a first portion of the set of descriptors as inputs to a first machine learning model. The method also includes selecting, based on the classification, a second machine learning model from among multiple models corresponding to different groups. The method also includes predicting a value of the protein formulation property that corresponds to the set of descriptors, by applying at least a second portion of the set of formulation descriptors as inputs to the selected model. The method further includes causing the value of the protein formulation property to be displayed to a user and/or stored in a memory.

Abstract: A system and method comprising a transmoler that identifies common substructures of a given 3D conformer and predicts its structural information. First, based on contrastive learning, substructure embeddings are learned in an unsupervised manner. Secondly, a novel oriented 3D object regressor predicts the dimensions and directions of each substructure in a conformer as well as its fingerprint embedding which are used to create differentiable junction tree molecular graphs. Lastly, using the junction tree graphs, molecular representations such as DeepSMILES are generated which represent new and novel molecules. The system may also generate conformers directly from a pocket. A pocket may be input to the model and the model learns to generate structures which can fit that pocket by conditioning the generative system. Furthermore, structure-based contrastive embeddings generated for transmoler can be recycled in structure-based generative modelling.

Abstract: Systems and methods are provided for characterizing shuttle capture events in a nanopore sensor. The method first collects time-dependent current blockage signatures for at least one bias voltage. The method then identifies each signature as corresponding to a permanent or transient event. The method then generates a protein dynamics landscape (PDL) for the transient event signatures. The PDL comprises a set of histograms of nanopore current data and characterizes current through the nanopore during shuttle capture events. The method can then comprise identifying an entrance level blockage value based on the permanent event signatures. Permanent event captures can be determined by time duration which is larger than a certain threshold time value. Applying a voltage between the fluidic chambers above a threshold voltage level can be used to control that the vast majority of events are permanent.

Abstract: A method and a system for tracking and managing data is disclosed. The method and system compile the tracked data into a user-accessible message and sends the user-accessible message to a subscriber periodically. A tracking device tracks selected data stored in at least one database and sends the tracked selected data to a user database. A data compiling device receives the tracked selected data and compiles the tracked selected data into a pre-determined form. The pre-determined form is then sent to the subscriber in an email or a cellular text message. The data stored in the at least one database includes image data and content data. The data is frequently updated to contain new files and new status of existing content data.

Abstract: A Method and Apparatus for Comparing Colors have been disclosed. In one implementation a compliant membrane which is substantially transparent with an area having a shade/color is placed on the user's skin to see what the shade/color will look like on the skin. In one implementation a compliant substrate which is largely transparent with an area having a shade/color is placed on an inanimate object to see how the shade/color will appear on the inanimate object without the substrate itself causing an unnecessary barrier between the inanimate object and the shade/color.

Abstract: A sensor having improved shelf life is provided for determining concentration of a biomarker in a liquid sample. The sensor functions by electrochemical detection and requires use of a biomolecule, e.g., an enzyme that catalyzes an electron transfer reaction specific for the biomarker. The sensor requires use of a quaternary ammonium compound as a bio-linker. It further requires crosslinking of the biomolecule for improved stability.

Abstract: Methods and devices involving using a bolus calculator to account for an uncertainty of a carbohydrate estimate to reduce a risk of hypoglycemia and/or a risk of hyperglycemia. More specifically, methods and devices using an algorithm executed by a processor of the bolus calculator and using a carbohydrate estimate and a measure defining the uncertainty of the carbohydrate estimate to determine the probability of hypoglycemia and/or hyperglycemia if the carbohydrate estimate is an overestimate or an underestimate, and subsequently providing recommendations and alerts to a user.

Abstract: A method for synchronizing operation of a heart assist pump device to a patient's cardiac cycle includes obtaining a signal from a motor of a heart assist pump device and filtering the signal to remove noise. The method also includes determining a speed synchronization start point at which time the motor of the heart assist pump device will begin a change in speed of operation based on the filtered signal. The method further includes modulating a speed of the motor of the heart assist pump device to a target speed at the speed synchronization start point, thereby synchronizing the change in speed of operation with a patient's cardiac cycle.

Abstract: In one embodiment, a method of building an optimized color flow cytometry panel is disclosed using a full spectrum flow cytometer with five excitation lasers and five corresponding detection modules. In another embodiment, a graphical user interface is disclosed generated by a server computer from a fluorochrome database and displayed by a client computer to assist in the selection of a set of fluorochromes for use in an assay to analyze biological samples. The GUI can display spectra graphs to visually show how fluorochromes may overlap and can generate similarity indexes for the paired fluorochrome interference and a complexity index for overall many to many interferences generated by a selected group or set of fluorochromes.

Abstract: Provided herein are methods for determining the mislocalization of an analyte by capturing the analyte on an array and measuring the mislocalization distance.

Abstract: An electrochemical measurement apparatus includes: a tank containing electrolytic solution and a sample that generates or consumes measurement target substances in the electrolytic solution; a plurality of uniformly mixed working electrodes; and a counter electrode; the apparatus adapted to simultaneously apply a voltage between each of the working electrodes and the counter electrode; and the apparatus configured to measure a current that flows between each of the working electrodes and the counter electrode; wherein any two working electrode groups are mutually different in at least any of the determined voltage, presence/absence of a molecular modification of an electrode surface, and a species of the molecular modification; and whereby a distribution in measurement area of the currents that flow through the working electrodes is acquired.

Abstract: A method for determining the genetic relationship of a conceptus with sperm and oocyte providers is provided, comprising receiving conceptus, sperm provider, and oocyte provider sequence data; aligning the received sequence data to a reference genome; identifying single nucleotide polymorphisms (SNPs) in the sperm provider, oocyte provider, and conceptus sequence data; imputing missing gaps in the sperm provider sequence data and the oocyte provider sequence data using an imputation reference; calculating a paternal consistency score between the sperm provider and the conceptus; calculating a maternal consistency score between the oocyte provider and conceptus; and classifying the sperm provider and/or the oocyte provider as related to the conceptus if the paternal consistency score and/or the maternal consistency score exceeds the predetermined threshold.

Abstract: A method of processing data comprises receiving, at a processor, first data comprising a plurality of values; receiving second data comprising one or more directives and association information; retrieving a first set of records from the first data using a first subset of the second data; generating a second set of records from the second data using a second subset of the second data; generating, based on a third subset of the second data, a plurality of records associations, the plurality of records associations including one or more of: first relationships between records of the first set of records, second relationships between records of the second set of records, and third relationships between records of the first set of records and the second set of records; storing the plurality of records associations in a structured format; and generating feedback data based on the plurality of records associations.

Abstract: An aerosol generating device includes: a heater configured to generate an aerosol by heating an aerosol generating material; a proximity sensor configured to measure a distance between a user of the aerosol generating device and the aerosol generating device; and a controller electrically connected to the heater and the proximity sensor and configured to control the heater on the basis of the distance measured by the proximity sensor.

Abstract: Provided herein are methods, processes, systems and machines for non-invasive assessment of genetic variations. In particular, provided herein are methods, processes, systems and machines for non-invasive assessment of copy number variations. In some aspects, copy number variations include aneuploidies (e.g., trisomy 13, 18, or 21). In some aspects, copy number variations include microdeletions or microduplications.

Abstract: An animal management system has one or more imaging devices, and a computing device coupled to the one or more image devices for receiving one or more images captured by the one or more imaging devices, processing at least one image using an artificial intelligence (AI) pipeline for: (i) detecting and locating in the image one or more animals, (ii) for each detected animal: (a) generating at least one section of the detected animal, (b) determining a plurality of key points in each section, (c) generating an embedding for each section based on the plurality of key points in the section, and (d) combining the embeddings for generating an identification of the detected animal with a confidence score. Key points and bounding boxes may also have associated confidence scores.

Abstract: Conventionally, deep learning-based methods have shown some success in ligand-based drug design. However, these methods face data scarcity problems while designing drugs against novel targets. Embodiments of the present disclosure provide systems and methods that leverage the potential of deep learning and molecular modeling approaches to develop a drug design pipeline, which can be useful for cases where there is limited or no availability of target-specific ligand datasets. Inhibitors of other proteins, structurally similar to the target protein are screened at the active site of the target protein to create an initial target-specific dataset. Transfer learning is implemented to learn features of target-specific dataset and design new chemical entities/molecules using a deep generative model. A deep predictive model is used predict docking scores of newly designed/identified molecules.

Abstract: A crystallization method for making high-quality molecular crystals containing complexes of diacylglycerol (DAG)-effector proteins and ligands thereof. For example, some of such crystals are of a quality sufficient for crystal-structure determination by X-ray crystallography with a spatial resolution of at least 3.0 ? or, in some cases, of about 1 ?. At least some embodiments of the crystallization method and of the molecular crystals produced thereby can beneficially be used, e.g., to provide high-resolution guides for the design and development of exogenous agonists of DAG-effector proteins of therapeutic interest.

Abstract: The present invention relates to a method for determining one or more intrinsic properties of a DNA component from a plurality of measurements obtained over a time period from a cell culture, with each cell comprising the DNA component, wherein the DNA component is involved in transcription of one or more target signals, wherein the plurality of measurements comprises measurements relating to the density of the cell culture over the time period and measurements relating to the amount of the one or more target signals in the cell culture over the time period.