Leland Stanford Junior University

Univfy Inc.

Wing H Wong

Hong Yang

Mylene W M Yao

Teresa H Meng

Michael P Snyder

Nicholas Johnson

Mylene Yao

Konrad Karczewski

Jennifer Li-Pook Than

Narges Asadi Bani

Bokyung Choi

Hua Tang

Mylene Wm Yao

Mylene WM Yao

Methods and computer-based systems for facilitating assessment of clinical infertility are provided. The methods and systems can be implemented to, for example, facilitate assessment of a subject for an in vitro fertilization treatment cycle, including determining probability of a live birth event. The methods and systems can be implemented to, for example, facilitate a determination of success implantation of embryos, selection of an optimal number of embryos to transfer, and determination of success in subsequent in vitro fertilization treatment cycles following an unsuccessful treatment cycle.

Methods and systems for assessment of clinical infertility

Provided is a method for generating prediction models from multiple healthcare centers. The method allows a third party to use data sets from multiple sources to build prediction models. By entering the data sets in a Model Deconstruction and Transfer (MDT) platform, a healthcare center may provide data to a third party without the need to de-identify data or to physically transfer any identifying or de-identified data from the healthcare center. The MDT platform includes a variable library, which allows the healthcare center to select variables that will be used to generate and validate the prediction model. Also provided is a method for compensating sources that contribute data sets based upon the percentage of clinical data that is used to generate a prediction model.

Method for generating healthcare-related validated prediction models from multiple sources

The present disclosure presents a unified system to phase a personal genome for downstream clinical interpretation. In an embodiment, an initial phasing is generated using public datasets, such as haplotypes from the 1000 Genomes Project, and a phasing toolkit. A local perturbation algorithm is applied to improve long range phasing. If available, a Mendelian inheritance pipeline is applied to identify phasing of novel and rare variants. These datasets are merged, followed by correction by any experimental data. This allows for full clinical interpretation of the role of a group of variants in a gene, whether inherited or de novo variants.

Method and system for phasing individual genomes in the context of clinical interpretation

The present disclosure provides methods for determining phased nucleic acid sequence for a single chromosome of interest and/or a single chromosomal fragment of interest. The present disclosure also provides methods for determining phased nucleic acid sequence for a plurality of single chromosomes of interest and/or a plurality of single chromosomal fragments of interest. The plurality of single chromosomes of interest may be of one chromosome type or of two or more chromosome types. The present disclosure also provides a method for isolating a plurality of chromosomal fragments of a specified size range, where the chromosomal fragments are from one or more specified regions of the genome. The plurality of chromosomal fragments may be separated into single chromosomal fragments and sequenced to provide phased nucleic acid sequence for the single chromosomal fragments. Alternatively, the plurality of chromosomal fragments may be sequenced together to provide unphased nucleic acid sequence for the chromosomal fragments.

Phased genome sequencing

The present disclosure provides methods for determining phased nucleic acid sequence for a single chromosome of interest and/or a single chromosomal fragment of interest. The present disclosure also provides methods for determining phased nucleic acid sequence for a plurality of single chromosomes of interest and/or a plurality of single chromosomal fragments of interest. The plurality of single chromosomes of interest may be of one or more chromosome types. The present disclosure also provides a method for isolating a plurality of chromosomal fragments of a specified size range, where the chromosomal fragments are from one or more specified regions of the genome. The plurality of chromosomal fragments may be separated into single chromosomal fragments and sequenced to provide phased nucleic acid sequence for the single chromosomal fragments. Alternatively, the plurality of chromosomal fragments may be sequenced together to provide unphased nucleic acid sequence for the chromosomal fragments.

Circuits, devices and methods for processing learning networks are implemented using a variety of methods and devices. One example involves a circuit-implemented method to identify a relationship of objects in a set of objects. Local scores are generated for the object and possible parents. The local scores indicate relationship strength between object and parent. The results are stored in a memory. A state-machine circuit is used to perform sampling and searching of the parent sets for each data node. The local scores are used to encode orderings of the parent. An algorithm is executed that uses the encoded possible orderings and a random variable to generate and score a current order and a proposed order of the possible parent sets. The proposed orders are accepted or rejected based on probability rules applied to the scores for the current and proposed orders. Structures are sampled to assess a Bayesian-based relationship.

Growing community of inventors

Stanford, CA, United States of America

Wing H Wong