G06F19/12

Process for evaluating skin care product efficacy and skin care product efficacy evaluation system
10073945 · 2018-09-11 ·

An instrumental approach enabling evaluation of efficacy of skin care products is disclosed. Common problems shared by existing methods include first the difficulty whether to test the entire human face, or just focus on the key locations (not determined yet); the difficulty in conducting a repeatable test when human face is hard to fix on and changes between different persons; and how many different skin attributes to test for making a reliable and complete judgment. The instrumental approach of the process tests a sample at once to obtain all the information needed. It shows good repeatability and sensitivity. It yields necessary yet sufficient information in numbers.

METHOD AND SYSTEM FOR IN SILICO TESTING OF ACTIVES ON HUMAN SKIN

A method and system for in-silico testing of actives on human skin is described. The present invention discloses a micro and macroscopic level model of the skins upper protective layer Stratum-Corneum. The invention presents a multi-scale modeling framework for the calculation of diffusion and release profile of different actives like drugs, particles and cosmetics through developed skin model using molecular dynamics simulations and computational fluid dynamics approach. The systems consist of a molecular model of the skin's upper layer stratum corneum and permeate molecules. The system also consists of a macroscopic transport model of stratum corneum. The transport model is used to generate the release profile of the active molecule.

WATERMARKING FOR DATA SECURITY IN BIOINFORMATIC SEQUENCE ANALYSIS
20180253536 · 2018-09-06 ·

Embodiments of the invention protect information stored in graph-based sequence references by watermarking the graph with uniquely identifiable information. The watermark identifies the graph or version thereof in a detectable but nonintrusive manner. In one embodiment, insertions and/or deletions are introduced into regions of the graph.

Automated fiducial marker planning method

A system and method are described for determining candidate fiducial marker locations in the vicinity of a lesion. Imaging information and data are input or received by the system and candidate marker locations are calculated and displayed to the physician. Additionally, interactive feedback may be provided to the physician for manually selected or identified sites. The physician may thus receive automatic real time feedback for a candidate fiducial marker location and adjust or accept a constellation of fiducial marker locations. 3D renderings of the airway tree, lesion, and marker constellations may be displayed.

Signal encoding and decoding in multiplexed biochemical assays

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.

INTEGRATED METHOD AND SYSTEM FOR IDENTIFYING FUNCTIONAL PATIENT-SPECIFIC SOMATIC ABERATIONS USING MULTI-OMIC CANCER PROFILES

A system and method for determining the functional impact of somatic mutations and genomic aberrations on downstream cellular processes by integrating multi-omics measurements in cancer samples with community-curated biological pathways are disclosed. The method comprises the steps of extracting biological pathway information from well-curated biological pathway sources, using the pathway information to generate an upstream regulatory parent sub-network tree for each gene of interest, integrating measurement-based omic data for both cancer and normal samples to determine a nonlinear function for each gene expression level based on the gene's epigenetic information and regulatory network status, using the nonlinear function to predict gene expression levels and compare activation and consistency scores with inputted patient-specific gene expression data, and using the patient-specific gene expression predictions to identify significant deviations and inconsistencies in gene expression levels from expected levels in individual patient samples to identify potential biomarkers in providing predictive information in relation to cancer and cancer treatment.

Biomarkers of Breast and Lung Cancer
20180246112 · 2018-08-30 ·

Provided herein are methods of detecting lipids in humans suspected of having cancer, in particular detecting lipids in samples from a human suspected of having breast or lung cancer.

Interrogatory cell-based assays and uses thereof

Described herein are methods for identifying a modulator of a biological system. Some methods include establishing a model for the biological system comprising cells, obtaining a first data set representing global proteomic in the cells, and obtaining a second data set representing one or more functional activities or cellular responses of the cells including global enzymatic activity and/or an effect of the global enzyme activity on the enzyme metabolites or substrates in the cells. The method also includes generating a consensus causal relationship network among the global proteomic changes and the one or more functional activities or cellular responses based solely on the first and second data sets using a programmed computing device, and identifying a causal relationship unique in the biological system from the consensus causal relationship network, wherein at least one enzyme associated with the unique causal relationship is identified as a modulator of the biological system.

System and method for selecting a respirator

Apparatus and associated methods may relate to a system for predicting a respirator fit by comparing a respirator model in a deformed state to a specific facial model. In an illustrative example, an internal measurement may be calculated between an inside part of the respirator model and the facial model. The internal measurement may be compared against a predetermined threshold to determine a fit of the respirator model, for example. In various implementations, the internal measurement may be a distance and/or a volume between the respirator and facial model. In some implementations, a 3D representation of the respirator model may be displayed upon a 3D representation of the facial model. In some implementations, a color-coded facial display may characterize areas of comfort and discomfort with respect to the respirator model. For example, areas of comfort and discomfort may be objectively determined in view of an applied pressure by the respirator.

SYSTEMS AND METHODS FOR CORRECTION OF ARTIFICIAL DEFORMATION IN ANATOMIC MODELING

Systems and methods are disclosed for correcting for artificial deformations in anatomical modeling. One method includes obtaining an anatomic model; obtaining information indicating a presence of an artificial deformation of the anatomic model; identifying a portion of the anatomic model associated with the artificial deformation; estimating a non-deformed local area corresponding to the portion of the anatomic model; and modifying the portion of the anatomic model associated with the artificial deformation, based on the estimated non-deformed local area.