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CULVER CITY, Calif.--(BUSINESS WIRE)--NantHealth, Inc. (NASDAQ-GS: NH), a next-generation, evidence-based, personalized healthcare company, announced today that the company will present at the Deutsche Bank 42nd Annual Health Care Conference at 10:40 a.m. ET, on Thursday, May 4, 2017 at the InterContinental Boston Hotel. The company also said that Robert Watson, who will present on behalf of NantHealth at the Deutsche conference, is transitioning from his role as president and chief growth officer to consultant for the company, in order to relocate to the East Coast for family reasons. “In his transitional role, Bob will remain an important member of our team through the end of the year,” said Patrick Soon-Shiong, M.D., Chief Executive Officer and Chairman of NantHealth. “Bob oversaw the integration of several acquisitions and was instrumental in leading our company’s transition from a private to public company.” “I am very grateful for the time I spent at NantHealth and to have launched the initial public offering,” said Watson. “I am a firm believer in the immense value GPS cancer will bring to the thousands of cancer patients who will benefit from the information derived from this breakthrough test. I am confident that NantHealth will continue as a leading evidence-based personalized healthcare company in the years ahead." The company will post to its website the slides presented at the Deutsche Bank 42nd Annual Health Care Conference. NantHealth, Inc., a member of the NantWorks ecosystem of companies, is a next-generation, evidence-based, personalized healthcare company enabling improved patient outcomes and more effective treatment decisions for critical illnesses. NantHealth's unique systems-based approach to personalized healthcare applies novel diagnostics tailored to the specific molecular profiles of patient tissues and integrates this molecular data in a clinical setting with large-scale, real-time biometric signal and phenotypic data to track patient outcomes and deliver precision medicine. For nearly a decade, NantHealth has developed an adaptive learning system, which includes its unique software, middleware and hardware systems infrastructure that collects, indexes, analyzes and interprets billions of molecular, clinical, operational and financial data points derived from novel and traditional sources, continuously improves decision-making and further optimizes our clinical pathways and decision algorithms over time. For more information please visit www.nanthealth.com.


News Article | May 5, 2017
Site: www.businesswire.com

CULVER CITY, Calif.--(BUSINESS WIRE)--NantWorks, LLC, and its related entities today announced a resolution with The Board of Regents of the University of Texas regarding the “MOONSHOT” name and related trademarks. NantWorks is discontinuing the use of “MOONSHOT” and its variations and will instead use CANCER BREAKTHROUGHS 2020 as the name for its cancer initiative to avoid confusion with The Board of Regents' MOONSHOT name and related trademarks, based on the Board's prior use and agreed ownership. The lawsuit has been dismissed and NantWorks and its related entities have agreed to abandon their trademark applications for MOONSHOT variations, and as a result, The Board of Regents is withdrawing its trademark oppositions to NantWorks’ related MOONSHOT trademark applications.


ORLANDO, Fla.--(BUSINESS WIRE)--NantHealth, Inc. (NASDAQ-GS: NH), a next-generation, evidence-based, personalized healthcare company, announced today that it will be exhibiting its new suite of oncology solutions at booth #5561 and providing demos at the Interoperability Showcase floor at booth #9000 Hall F, during the HIMSS 2017 Annual Conference & Exhibition in Orlando, Florida. Recognized as one of the premiere healthcare industry conferences, HIMSS17 brings together healthcare professionals from across the globe. Throughout HIMSS 2017, NantHealth will showcase its extensive Oncology Suite aimed at improving the effectiveness and efficiency of specialty care through clinical and IT solutions. The solution takes a holistic approach to patient care via molecular profiling, precision medicine decision support, care coordination and outcomes measurement providing a continuous feedback loop which supports the goal of higher quality care at a reduced cost. The solutions also support the Centers for Medicare & Medicaid Services’ (CMS) Innovation Center’s Oncology Care Model (OCM) program. The goal of the OCM is to achieve better care, smarter spending and healthier people. To support this model, NantHealth’s portfolio of solutions provides oncologists with the tools necessary to ensure that 21st century treatments are deployed across the country. Among its suite of next-generation solutions is NantHealth’s latest rendition of the Vitality® Glowcap®, a medication adherence system that tracks, reminds and alerts patients to reinforce them to take their prescribed medication, which now utilizes Bluetooth Low Energy (BLE) 4.0 communications. As the pace of technology innovation in healthcare continues to gain momentum, connected care has become critical to improving the patient experience, as it ensures a seamless delivery of health IT services at the point of care. In addition to showcasing this latest connected care solution, NantHealth will also be exhibiting the following solutions at booth #5561: While at the Interoperability Showcase in kiosk #9000 Hall F, NantHealth will demonstrate joint use cases led by HealthShare Exchange of Southeastern PA with Independence Blue Cross, University of Pennsylvania, NextGen and Comcast called “On the Road to Cancer Care 2020” addressing how technology will impact the future of cancer treatment. NantHealth will also deliver a “Scheduled Surgery and Recovery” use case with several key industry stakeholders, which follows a patient from a scheduled surgery through recovery demonstrating how interoperability is present throughout the journey. Additional use cases being displayed include: “As we continue on the path toward advancing cancer care, we’re constantly thinking about the ecosystem of influence that will help us achieve this goal,” said Dr. Patrick Soon-Shiong, CEO and founder of NantHealth. “Whether its personalized medicine identified via GPS Cancer or enabling providers to have access to treatment intelligence databases, there are many components that are responsible for working together to find the ways we can fight this longstanding battle against cancer. Health IT certainly plays a major role in connecting payers, providers and patients and it is a necessity if we’re ever going to defeat this disease.” This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995, including, among others, statements regarding the capabilities and anticipated utility of our GPS Cancer, including predicting patient response and resistance to therapeutics, enabling diagnoses by physicians and accelerating efforts to bring novel combinations of therapeutic agents to cancer patients. Forward-looking statements are subject to numerous risks and uncertainties that could cause actual results to differ materially from currently anticipated results. Factors that may cause future results to differ materially from management’s current expectations include, among other things, that GPS Cancer may not perform as anticipated, that sufficient physicians may not adopt GPS Cancer to assist their diagnoses or that healthcare payers may not provide reimbursement for GPS Cancer as expected. Our business is subject to numerous additional risks and uncertainties, including, among others, risks relating to market acceptance of our products; our ability to successfully launch new products and applications; competition; our sales, marketing and distribution capabilities; our planned sales, marketing, and research and development activities; unanticipated increases in costs or expenses; and risks associated with international operations. Information on these and additional risks, uncertainties, and other information affecting our business and operating results can be found in our existing and future filings with the Securities and Exchange Commission. These forward-looking statements speak only as of the date hereof. We disclaim any obligation to update these forward-looking statements except as may be required by law. NantHealth, Inc., a member of the NantWorks ecosystem of companies, is a next-generation, evidence-based, personalized healthcare company enabling improved patient outcomes and more effective treatment decisions for critical illnesses. NantHealth’s unique systems-based approach to personalized healthcare applies novel diagnostics tailored to the specific molecular profiles of patient tissues and integrates this molecular data in a clinical setting with large-scale, real-time biometric signal and phenotypic data to track patient outcomes and deliver precision medicine. For nearly a decade, NantHealth has developed an adaptive learning system, CLINICS, which includes its unique software, middleware and hardware systems infrastructure that collects, indexes, analyzes and interprets billions of molecular, clinical, operational and financial data points derived from novel and traditional sources, continuously improves decision-making and further optimizes our clinical pathways and decision algorithms over time. For more information please visit www.nanthealth.com and follow Dr. Soon-Shiong on Twitter @DrPatSoonShiong.


Techniques are provided that include identifying robust features within a training image. Training features are generated by applying a feature detection algorithm to the training image, each training feature having a training feature location within the training image. At least a portion of the training image is transformed into a transformed image in accordance with a predefined image transformation. Transform features are generated by applying the feature detection algorithm to the transformed image, each transform feature having a transform feature location within the transformed image. The training feature locations of the training features are mapped to corresponding training feature transformed locations within the transformed image in accordance with the predefined image transformation, and a robust feature set is compiled by selecting robust features, wherein each robust feature represents a training feature having a training feature transformed location proximal to a transform feature location of one of the transform features.


Patent
NantWorks and Nant Vision Inc. | Date: 2015-06-17

An activity recognition system is disclosed. A plurality of temporal features is generated from a digital representation of an observed activity using a feature detection algorithm. An observed activity graph comprising one or more clusters of temporal features generated from the digital representation is established, wherein each one of the one or more clusters of temporal features defines a node of the observed activity graph. At least one contextually relevant scoring technique is selected from similarity scoring techniques for known activity graphs, the at least one contextually relevant scoring technique being associated with activity ingestion metadata that satisfies device context criteria defined based on device contextual attributes of the digital representation, and a similarity activity score is calculated for the observed activity graph as a function of the at least one contextually relevant scoring technique, the similarity activity score being relative to at least one known activity graph.


Patent
Nant Vision Inc. and NantWorks | Date: 2014-05-12

Systems and methods of verifying the results of an initial image recognition process are presented. A verification engine can receive a set of candidate images corresponding to the results of an image recognition process performed on a captured query image. The verification engine can determine an appropriate verification technique to apply to the images of the candidate set, and classify, re-rank or otherwise re-organize the candidate set such that the best match from the candidate set is confirmed as a proper match.


Patent
Nant Vision Inc., NantWorks and NantMobile | Date: 2015-03-02

A system for analyzing scene traits in an object recognition ingestion ecosystem is presented. In some embodiment, a trait analysis engine analyzes a digital representation of a scene to derive one or more features. The features are compiled into sets of similar features with respect to a feature space. The engine attempts to discover which traits of the scene (e.g., temperature, lighting, gravity, etc.) can be used to distinguish the features for purposes of object recognition. When such distinguishing traits are found, an object recognition database is populated with object information, possibly indexed according to the similar features and their corresponding distinguishing traits.


Patent
NantWorks | Date: 2012-10-08

Medicinal container bags are presented. Bags can include openers capable of sealing an opening of the bag. Disclosed bags further comprise electronic assemblies configured to detect opening or closing events as the openers The assemblies can compile usage data based on opener movement, and then provide the data to remote monitoring systems.


Patent
NantWorks | Date: 2016-02-03

Medicinal container bags are presented. Bags can include openers capable of sealing an opening of the bag. Disclosed bags further comprise electronic assemblies configured to detect opening or closing events as the openers move along the rims of the bag opening. The assemblies can compile usage data based on opener movement, and then provide the data to remote monitoring systems.


CULVER CITY, Calif.--(BUSINESS WIRE)--NantHealth, Inc. (NASDAQ-GS: NH), a next-generation, evidence-based, personalized healthcare company, today announced that the company will present at the Cowen and Company 37th Annual Health Care Conference on Tuesday, March 7, 2017, at 9:20 a.m. ET at the Boston Marriott Copley Place hotel. An audio-only webcast of the presentation will be available at www.NantHealth.com. Listeners are encouraged to visit the web site at least 10 minutes prior to the start of the presentation to register, download and install any necessary software. The presentation will be archived and accessible on the web site for at least 90 days. NantHealth, Inc., a member of the NantWorks ecosystem of companies, is a next-generation, evidence-based, personalized healthcare company enabling improved patient outcomes and more effective treatment decisions for critical illnesses. NantHealth’s unique systems-based approach to personalized healthcare applies novel diagnostics tailored to the specific molecular profiles of patient tissues and integrates this molecular data in a clinical setting with large-scale, real-time biometric signal and phenotypic data to track patient outcomes and deliver precision medicine. For nearly a decade, NantHealth has developed an adaptive learning system, CLINICS, which includes its unique software, middleware and hardware systems infrastructure that collects, indexes, analyzes and interprets billions of molecular, clinical, operational and financial data points derived from novel and traditional sources, continuously improves decision-making and further optimizes our clinical pathways and decision algorithms over time. For more information please visit www.nanthealth.com and follow Dr. Soon-Shiong on Twitter @DrPatSoonShiong.

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