Qualcomm Incorporated

Biotheranostics, Inc.

Intuit, Inc.

Plexium, Inc.

Bristol-myers Squibb Compnay

Google Inc.

Harvard College

The General Hospital Corporation

Pacific Biosciences of California, Inc.

Celula, Inc.

Call/recall Inc.

Peijia Medical Co., Ltd.

Progenity, Inc.

Janssen Diagnostics, LLC

Achieva Medical (shanghai) Co., Ltd.

Yi Zhang

Liangchi Hsu

Catherine A Schnabel

Sitaramanjaneyulu Kanamarlapudi

Nicholas A Meanwell

Mark G Erlander

Kandaswamy Vijayan

Kuo-Long Yu

Rita Civiello

Xiangdong Alan Wang

Keith D Combrink

Jesse Lu

Hatice Belgin Gulgeze

Jan Willem Thuring

Eugene Tu

Alkinoos Hector Vayanos

Sangmoo Choi

Zhiwei Yin

Nitin Kasturi

Ny Sin

Bradley C Pearce

Brian Lee Venables

Zae Yong Choi

Pengyu Yang

Dennis Sgroi

Omesh Kumar Handa

Rashid Ahmed Akbar Attar

Rohit Kapoor

Dan Zhang

Steven T Brentano

Yongsheng Shi

Daniel E Kahne

Nate Chizgi

Keunho Ahn

Sharif Ahsanul Matin

Prashant Udupa Sripathi

Vaishakh Rao

William Frank Butler

Ping Ye Zhang

Yoshinao Taketomi

Suzanne Walker Kahne

Tatiana Vener

Rajasekar Arulprakasam

Ambarish Tripathi

Yixin Wang

Haichuan Zhang

John W Backus

Edgar Gutierrez

Subramanya P N Rao

Thomas John Holodnik

Xiaoyan Cindy Barker

Alex Price

Mohamed A El-saidny

Kuan-Lin Chen

Hirokazu Tsukamoto

Andrew S Katz

Kapil Mahakalkar

Shankar A Chittoor

Valibabu Saladi

Philippe Marchand

Christopher W Cianci

Nadeem Mohammed Yusuf Ilkal

Almira Hortensia Niciu-Chiuaru

Chaitanya Shah

Timothy Jatkoe

Carlo C Derecho

Mallikarjuna Rao Gorumuchu

Kurt A Krummel

Emma Doud

Edwin P Walker

Yaxiong Sun

Andrew Ernest Goldfinch

Bradley C Pearc

Andree J Pyfer

Seobin Jung

Kenneth Chng

Kenneth Chung

John Francis

Benjamin Lai

Masaatsu Adachi

Shinichiro Fuse

Xiaonan Lin

Bohdan Ostash

Jack X Yu

Dimitri Talantov

Rama Ghatti

Dennis C Sgroi

Brock Schroeder

John F Palma

Dongho Lee

Kerry Gunning

Russell Baldocchi

Dong-Ho Lee

William F Butler

Phillippe Marchand

The disclosure includes the identification and use of gene expression profiles, or patterns, with clinical relevance to extended treatment and cancer-free survival in a patient. In particular, the disclosure includes the identities of genes that are expressed in correlation with benefit in a switch in endocrine therapy used to treat a patient. The levels of gene expression are disclosed as a molecular index for predicting clinical outcome, and so prognosis, for the patient. The disclosure further includes methods for predicting cancer recurrence, and/or predicting occurrence of metastatic cancer, after initial treatment with an anti-estrogen agent. The disclosure further includes methods for determining or selecting the treatment of a subject based upon the likelihood of life expectancy, cancer recurrence, and/or cancer metastasis.

Post-treatment breast cancer prognosis

Methods of determining risk of recurrence of a breast cancer of a subject are provided. Also provided are methods of predicting responsiveness to a therapy of a breast cancer of a subject. Additionally, methods of recommending treatment for a subject that has breast cancer are provided. Further provided are methods of treating a subject that has breast cancer. Systems for performing described methods are also provided.

Integration of tumor characteristics with breast cancer index

Reducing blinking pixels in a display includes detecting a first timing of activation of one or more emissive elements of the display, detecting a second timing of sensing pulses from a sensor arranged to detect radiation transmitted through the display, determining, based on the first timing and the second timing, a synchronized timing that staggers the activation of the one or more emissive elements of the display and the sensing pulses from the sensor, and dynamically altering, based on the determined synchronized timing, a subsequent timing of the sensing pulses from the sensor to reduce blinking of at least some of the pixels compared to blinking associated with the synchronized timing.

Reducing blinking pixels in displays

Disclosed is an assay device comprising a high density of wells aligned thereon.

Assay devices for combinatorial libraries

An example method includes programming, during non-emission periods of frames of a plurality of frames based on image data of the frames, pixels of the plurality of pixels of a display of a computing device; causing, during emission periods of the frames, pixels of the plurality of pixels to emit light, wherein an amount of light emitted by the pixels during an emission period of a particular frame is based on the programming for the particular frame; and synchronizing operation of one or more sensors and operation of the plurality of pixels by at least causing the one or more sensors to alternatingly emit, through the display, electromagnetic radiation during emission periods and non-emission periods.

Under-display sensor operation

An example method includes programming, based on image data of a frame of a plurality of frames and during a non-emission period of the frame, pixels of a plurality of pixels of a display of a computing device; causing pixels of the plurality of pixels to emit light during an emission period of the frame, wherein an amount of light emitted by the pixels during the emission period is based on the programming; and synchronizing operation of one or more sensors and operation of the plurality of pixels by at least causing the one or more sensors to emit, during a particular portion of the emission period of the frame, electromagnetic radiation through the display.

This disclosure provides for devices and methods for conduction assays for combinatorial libraries. The devices comprise a multiplicity of wells and a removable cap.

Caps for assay devices

A method may include registering, with an offline job to be executed by a computer processor, an application programming interface (API) and an operation, obtaining, from a repository, a user consent of a user for the operation, and in response to obtaining the user consent, creating, for the user, an access token including the operation and the API. The user consent may be stored external to the access token. The method may further include transmitting the access token to the offline job, and calling, by the offline job, the API using the access token.

Offline processing using on-demand access tokens

The disclosure provides methods for the use of gene expression measurements to classify or identify neuroendocrine cancer in samples obtained from a subject in a clinical setting, such as in cases of formalin fixed, paraffin embedded (FFPE) samples.

Neuroendocrine tumors

Artificial intelligence, big data, and crowd sourcing techniques are utilized to efficiently and effectively determine permissions that should be granted to a party within an organization. In one example, the permissions granted to a party within an organization are determined using one or more algorithms to identify, weight, and correlate historical and current permissions to party attributes for parties within the organization and/or for similar parties in similar organizations. In one example, the activity of the party within the organization is then monitored and the permissions granted the party are automatically modified as needed to allow the party to perform their tasks in the organization as the party's responsibilities within the organization evolve.

Method and system for granting permissions to parties within an organization

The present disclosure provides compositions, methods and systems for quantifying target sequences and identifying target sequence variants.

Methods of quantifying target nucleic acids and identifying sequence variants

Growing community of inventors

San Diego, CA, United States of America

Yi Zhang