Abstract: Systems and methods of the disclosure may include a computer-implemented method, the computer-implemented method including: receiving, at a computer system, nucleic acid sequencing data derived from a methylation assay performed on a biological sample associated with at least one subject; computing, using a processor associated with the computer system, a beta value matrix based on the nucleic acid sequencing data, wherein the beta value matrix comprises one or more missing beta values; addressing, using the processor, the one or more missing beta values in the beta value matrix using a missing beta value completion approach; identifying, using the processor, one or more principal components in the completed beta value matrix; and training, using the one or more principal components in combination with a predetermined set of clinical variables, a classifier to predict a survival outcome for a target subject associated with a disease type.

Abstract: Methods for WBC contamination detection are disclosed. The computer-implemented methods for WBC contamination detection aim to assess whether a sample is contaminated by the WBC-shed DNA and may further determine a level of contamination. A first coverage-based approach assesses normalized coverage of sequence reads of a test sample at each genomic locus in a feature set of genomic loci. A contamination metric may be calculated based on a distance of the test sample's normalized coverage to a distribution of purified cfDNA samples. A second methylation-based approach deconvolves tissue type based on methylation features. A distribution is generated based on tissue type fractions of purified cfDNA samples from non-cancer subjects. The contamination metric is calculated based on a distance relative to the distribution of tissue type fractions. A third quantitative coverage-based approach generates distributions of coverage for cfDNA samples and for WBC samples for each genomic locus.

Abstract: Methods and systems are disclosed for component deconvolution by a mixture model based on methylation information. A mixture model may be trained agnostic of labels or known component contributions. A system generates a methylation signature for each of a plurality of training samples. The methylation signature may be based on a count or a percentage of a methylation variant(s) expressed in the methylation sequence reads of a training sample at each genomic region of a plurality of genomic regions. The system may train the mixture model using maximum likelihood estimation to deconvolve the component contributions. The mixture model may comprise component submodels and a deconvolution submodel. The component submodels predict a component likelihood based on the methylation signature. The deconvolution submodel predicts the component contributions based on the component likelihoods.

Abstract: Methods and systems are disclosed for component deconvolution by a mixture model based on methylation information. A mixture model may be trained agnostic of labels or known component contributions. A system generates a methylation signature for each of a plurality of training samples. The methylation signature may be based on a count or a percentage of a methylation variant(s) expressed in the methylation sequence reads of a training sample at each genomic region of a plurality of genomic regions. The system may train the mixture model using maximum likelihood estimation to deconvolve the component contributions. The mixture model may comprise component submodels and a deconvolution submodel. The component submodels predict a component likelihood based on the methylation signature. The deconvolution submodel predicts the component contributions based on the component likelihoods.

Abstract: Systems and methods are provided for determining whether a test subject has a disease condition. In one aspect, the method includes determining at least first and second genotypic data constructs for a test subject, formed from data collected from first and second sample from the subject, respectively, at different times. The first and second genotypic data constructs are inputted into a model for the disease condition, thereby generating first and second model score sets for the disease condition, respectively. A test delta score set is determined based on a difference between the first and second model score sets. The test delta score set is evaluated against a plurality of reference delta score sets, to determine the disease condition of the test subject, where each reference delta score set is for a respective reference subject in a plurality of reference subjects.

Abstract: A remotely operated blood flow occlusion or restriction cuff for use as a muscle building device or a compact medical emergency reperfusion tourniquet. A module on the cuff housing an air pump, a controller operating the air pump and power supply. The inflation and deflation of the cuff controlled using a smart device in communication with the controller. In the preferred embodiment this is via a Smartphone app and Bluetooth protocol. The tourniquet operating in conjunction with a Doppler ultrasound and/or pulse oximeter to monitor arterial inflow.

Abstract: Various parts of email content or entire emails may be recalled or modified after delivery through the use of links to cloud-storage, where the various parts of the email content may be stored. Different notification and modification methods may be employed to modify delivered content even after it is rendered for a recipient. While recipients may have a latest version of the email content, senders may be enabled to see a version history of changes in delivered email content.

Abstract: Various parts of email content or entire emails may be recalled or modified after delivery through the use of links to cloud-storage, where the various parts of the email content may be stored. Different notification and modification methods may be employed to modify delivered content even after it is rendered for a recipient. While recipients may have a latest version of the email content, senders may be enabled to see a version history of changes in delivered email content.

Abstract: Various parts of email content or entire emails may be recalled or modified after delivery through the use of links to cloud-storage, where the various parts of the email content may be stored. Different notification and modification methods may be employed to modify delivered content even after it is rendered for a recipient. While recipients may have a latest version of the email content, senders may be enabled to see a version history of changes in delivered email content.

Abstract: Various parts of email content or entire entails may be recalled or modified after delivery through the use of links to cloud-storage, where the various parts of the email content may be stored. Different notification and modification methods may be employed to modify delivered content even after it is rendered for a recipient. While recipients may have a latest version of the email content, senders may be enabled to see a version history of changes in delivered email content.

Abstract: The present invention is a vibrational liquid-wave stimulating therapy mask apparatus for facial health and beauty care comprising a mask and a vibrating means. The mask is configured to substantially conform the general facial contour of a human face and completely cover the entire face of a user with openings corresponding to the respective locations and sizes of the eyes, nose and mouth of the user. The mask has an interior forming a layer shaped cavity inflated with liquid capable of transmitting vibrational waves, and an exterior having an outward side and an inward side with a very smooth surface contacting the entire area of the user's face.