Abstract: Provided herein are, inter alia, methods for identifying subjects suffering from depression that will respond to treatment with an antidepressant.

Abstract: A method for determining a patient radiation and diagnostic study score associated with past diagnostic radiologic tests. In light of the obvious benefits of diagnostic radiology, the risks inherent in its use are often overlooked. Ionizing radiation, which is a component of much, but not all, diagnostic radiology, carries with it a small risk of inducing cancer every time it is used. The present method for determining a patient radiation and diagnostic study score provides right time, right place, and right format radiology information to assist providers in their medical decision-making. With greater awareness of recent study history, and individually contextualized risk and benefit considerations, providers are more likely to decrease their overall usage of diagnostic radiology and better counsel their patients on future risk.

Abstract: The present disclosure provides systems and methods that relate to storing encoded information in, and reading the encoded information from, nucleotide sequences. An example method includes receiving, at a DNA readout system, a nucleotide sequence. The method also includes reading the nucleotide sequence based on an alphabet consisting of {adenine (A), cytosine (C), guanine (G), and thymine (T)}. The method further includes determining positions of unique markers between a plurality of encoded blocks in the nucleotide sequence. The method yet further includes decoding each encoded block of the plurality of encoded blocks according to an inner code, so as to form a plurality of decoded blocks. The method also includes appending the decoded blocks to one another to provide a decoded message with message length n bits.

Abstract: Systems and methods disclosed for recommending healthy actions for a subject by using a DNA sequencer to generate genetic information; aggregating genetic information, health or beauty trend data, and health response from a patient population; deep learning with a computer to generate at least one computer implemented classifier that predicts matching health protocols, treatment regimes, or products based on the genetic information, health trend data, and health product response from a patient population; and recommending one or more actions, protocols, or products, for the subject.

Abstract: The invention is a diagnostic which overlays quantum mechanical analysis to x-ray crystallography or Cryo-EM data from one or more molecules, to assess and identify the real world conformation, protonation and solvent effects of one or more moieties in said molecule. This “overlay” occurs by scoring and identifying the protomer/tautomer or conformational states of the moieties using quantum mechanical analysis. The diagnostic results of the present invention accurately identify protein-ligand binding, rendered as an output to a user of a computer in which the x-ray crystallography or Cryo-EM data is analysed with semi-empirical Hamiltonian quantum mechanics.

Abstract: Embodiments provide a method for sequencing and assembling long DNA genomes comprising generating a 3D contact map of chromatin loop structures in a target genome, the 3D contact map of chromatin loop structures defining spatial proximity relationships between genomic loci in the genome, and deriving a linear genomic nucleic acid sequence from the 3D map of chromatin loop structures.

Abstract: A calculation method for an annual average loss of an external substructure reinforcement system based on interfacial shear stresses is provided. The calculation method includes: step 1: establishing a deterministic model for an external substructure reinforcement system, and generating seismic ground motion samples and structural samples by random sampling; establishing a probabilistic hazard model based on the seismic ground motion samples; generating a probabilistic vulnerability model based on interfacial shear stresses; establishing a total probabilistic loss expectation model by different seismic ground motion intensity levels; and using the total probabilistic loss expectation model to obtain an annual average probabilistic seismic loss of the external substructure reinforcement system based on the interfacial shear stresses. The calculation method can realize classified calculations of the seismic loss of the external substructure reinforcement system.

Abstract: This application provides a protein structure information prediction method and apparatus, a device, and a storage medium, and relates to the field of biological information technologies. The method includes: performing sequence alignment query in a first database according to an amino acid sequence of a protein to obtain multi-sequence aligned data; performing feature extraction on the multi-sequence aligned data to obtain an initial sequence feature; processing the initial sequence feature by using a sequence feature augmentation model to obtain an augmented sequence feature of the protein; and predicting structure information of the protein according to the augmented sequence feature. When the structure information of the protein is predicted based on artificial intelligence (AI), the foregoing solution can improve the prediction efficiency of protein structure information while ensuring the prediction accuracy of the protein structure information.

Abstract: In a small molecule drug discovery method, a transition state for a specific enzyme is modelled using quantum mechanics and molecular dynamics based simulation of the enzyme and substrate reaction; data defining the transition state (a ‘quantum pharmacophore’) is fed to a machine learning engine configured to generate transition state analogues, such as enzyme inhibitors.

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 method for detecting false positive variant calls in a next generation sequencing analysis pipeline involves obtaining a plurality of read pileup windows associated with a first sample genome. The method also involves obtaining, for each reference nucleotide position represented in the plurality of read pileup windows, a label indicating that the reference nucleotide position is either (i) a known variant or (ii) a non-variant. The method further involves training a neural network based on data indicative of the plurality of read pileup windows and the labels. Additionally, the method involves receiving a read pileup window associated with a second sample genome. Further, the method involves determining, using the trained neural network, a likelihood that the read pileup window associated with the second sample genome represents a variant.

Abstract: Provided herein are, inter alia, methods for identifying subjects suffering from depression that will respond to treatment with an antidepressant.

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: 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: An arrangement for determining external damage to hair is given. A device comprising: a reading unit adapted to obtain optical characteristics of hair; and a processing unit adapted to receive the optical characteristics from the reading unit and to determine surface properties of the hair from the optical characteristics, wherein the processing unit implements a pattern recognition algorithm and is adapted to assign, by employing the pattern recognition algorithm, the surface properties to a predetermined damage including at least one damage type and an associated damage level and to output the damage.

Abstract: Systems, media, compositions, methods, and kits disclosed herein relate to a panel of protein biomarkers for the early detection of colon cell proliferative disorders, including colorectal cancer. The presence or levels of the proteins in a biological sample for the protein panels described herein may be used for classifier generation, and as inputs in machine learning models useful to classify subjects in a population for the detection of colon cell proliferative disorders.

Abstract: Disclosed herein are systems and uses of systems operating between fully quantum coherent and fully classical states. Examples include a hybrid quantum-classical computing system comprising a plurality of quantum processors connected via classical means.

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: A mechanism is provided in a data processing system comprising at least one processor and a memory comprising instructions which, when executed by the at least one processor, causes the at least one processor to implement a real-time prediction engine for real-time predication of chemical properties through combining calculated, structured, and unstructured data at large scale. Offline components executing within the real-time prediction engine store a computational representation for each of a plurality of chemical structures in a unified storage. Each computational representation maps a respective chemical structure to a vector of calculated chemical structure features and properties, unstructured chemical features and properties, and structured chemical features and properties. The offline components train a computational real-time predictive model based on the computational representations.

Abstract: Systems and methods include a method for training machine learning-based proxy models as surrogates for process-based reactive transport modeling (RTM). Training sample data is generated. Training sample cases are executed using the training sample data. A set of parameter-specific proxy models represented by a neural network is trained. Each parameter-specific proxy model corresponds to a specific RTM parameter from a set of RTM parameters. Blind tests are performed using the set of parameter-specific proxy models. Each blind test tests a specific one of the parameter-specific proxy models. Predictions are generated using the set of parameter-specific proxy models.