WEBINAR: Using third-party healthcare data to accelerate drug discovery and clinical trial protocol design - 27 August 2021

 

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NEWSLETTER . Using third-party healthcare data to accelerate drug discovery and clinical trial protocol design REGISTER NOW . You’re Invited! FRIDAY, AUGUST 27 11AM PT | 2PM ET 60 MIN SESSION REGISTER NOW Join this webinar to learn how to leverage external healthcare datasets to make faster decisions with greater accuracy – accelerating biomedical development and improving patient welfare. In this virtual session, AWS Data Exchange will host a panel discussion with thought-leaders from healthcare powerhouse companies like QIAGEN and IBM Watson Health. Learn about the critical role third-party datasets have played in the evolution of the healthcare and life sciences industry. Key takeaways include: Incorporating QIAGEN molecular and genomics data into the biomedical research and development process Re-designing clinical trials to maximize patient and provider enrollment of patients with IBM Watson Health data Extracting more meaningful insights from your healthcare data by leveraging machine-learning algorithms Streamlining the integration, access, and analysis of diverse datasets by utilizing AWS Data Exchange Moderator Fred Lee, MD, MPH Healthcare & Life Sciences Leader, AWS Data Exchange Dr. Lee provides physician leadership for AWS Data Exchange where he is focused on transforming and disrupting the exchange of healthcare and life sciences data towards a cloud-native, socially responsible, economically sustainable, and privacy-preserving state. Fred brings a broad range of professional experience to this role, having served as a practicing academic physician, a health system executive, founder of a precision medicine startup, an industry market strategy executive, and as an industry leader for precision medicine and real-world evidence in the healthcare and life sciences sectors. Fred is a member of the American Medical Informatics Association and is an Industry Advisory Board appointee for the Cancer Informatics Society. He received his MD from Stony Brook School of Medicine, his MPH from the Columbia Mailman School of Public Health, and is a licensed physician in the state of New York, with a clinical background in general surgery and preventive medicine. Presenters Matt Newman, PhD Vice President of Business Development and Professional Services, QIAGEN Matt Newman is the Vice President of Business Development & Professional Services at QIAGEN Digital Insight, specializing in partnerships for bioinformatics software and data solutions, as well as helping to lead the QIAGEN Digital Insights Professional Services organization. Before joining QIAGEN, Matt helped to form OmicSoft Corporation, specializing in software and data services for the analysis of genomic datasets. OmicSoft Corporation was acquired In January 2017. Prior to OmicSoft, Matt worked in the lab at Glaxo Smith Kline, utilizing skills learned with a BS from Penn State University. Luke Boulanger, MA, MBA Lead Offering Manager for MarketScan Databases, IBM Watson Health Luke Boulanger is an academically trained health economist, specializing in health economics and outcomes research for approximately 25 years and focuses on the design, implementation, and dissemination of real-world observational studies. Leveraging his extensive experience in several therapeutic areas, Luke directs hybrid and retrospective studies, analyzing and synthesizing clinical and economic data from a wide variety of sources. Luke has authored over 45 peer-reviewed publications in journals like Diabetes Care, COPD, HIV Medicine, Annals of Pharmacotherapy, and Neurology and is currently a PhD candidate in economics. Kanchan Waikar Senior Solutions Architect, AWS Kanchan Waikar is a Senior Solutions Architect for the AWS Marketplace for Machine Learning team with over 14 years of experience building, architecting, and managing NLP and software development projects. With a Master of Science in Computer Science, Kanchan uses her passion for data science to help customers harness the power of machine learning to build more effective AWS architectures *The views and opinions of QIAGEN and IBM Watson Health and their presenters are their own and do not necessarily reflect the positions of AWS

Incorporating weather data into IoT is a game changer by:Franklin Morris via @IBMIoT

Weather has long been a source of headaches for businesses across all industries.

This is a hugely beneficial development and I can imagine countless examples where weather data would have made a difference. As I write this comment in the UK we have snow, ice and low temperatures. If this could be predicted from  a weather forecast it would have a huge number of benefits.

WEBINAR: Level Up Your Data Science Team - 20 June 2017

Overview

Title: Level Up Your Data Science Team

Date: Tuesday, June 20, 2017

Time: 09:00 AM Pacific Daylight Time

Duration: 1 hour

Summary

Level Up Your Data Science Team

Tired of the lone wolf data scientist myth? Figured out that data science pulls people and expertise from multiple domains? Want to learn more about how to pull data science teams together to solve tough data challenges and explore the possibilities of machine learning? Join this Data Science Central webinar, “Manage Data Science in the Enterprise: Level Up Your Data Science Team" and learn data science best practices, tools, and techniques to increase collaboration and productivity. 

Speakers:

Carlo Appugliese, Big Data and Data Science Evangelist -- IBM Analytics, Watson and Cloud Platform
Alex Jones, IBM Offering Manager, Data Science Experience Local -- IBM Analytics, Watson Data Platform

Hosted by: 

Bill Vorhies, Editorial Director -- Data Science Central

 

  
Data Science Central, IBM and its affiliates may use the provided contact information to keep you informed on related topics, products and services

Register here

IBM and The World of Watson by David Menninger via @infomgmt

The core of Watson is a set of cognitive computing capabilities. These cognitive capabilities have been packaged into a set of cloud-based services for creating cognitive applications.

Nice to read this and have a little clarity and confirmation as to what exactly Watson is and provides.

50 Useful Machine Learning & Prediction APIs via @KDnuggests

KDnuggets have created a list of 50 APIs selected from areas like machine learning, prediction, text analytics & classification, face recognition, language translation etc.

I've only done some limited things with APIs - this list gives me the impetus to go and play with some of them more.

Watson Thinks It Can Critique Your Writing via @ExtremeTech

IBM has just unveiled a new (experimental) tool in the Watson arsenal — the Tone Analyser. It allows Watson to scan a piece of text and tell you what the tone of the writing is based on word use. Link to Dataversity article which links to the original article on ExtremeTech.

Strange tool which I guess could be useful too.

Benco Dental using Watson Analytics to unearth Big Data insights via @PredAnalytics

Benco Dental, is using Watson Analytics to unearth Big Data insights to better gauge the true effectiveness of marketing and business programs. Benco Dental, is the largest privately owned dental supply distributor in the United States. Benco is utilizing the natural language querying power of Watson Analytics to determine the success of promotional programs.  Great article from Predictive Analytics Today.

IBM Expands Watson Analytics Partnerships to Help Fight Cancer

 IBM is furthering the expansion of its Watson data-analytics technology into health care through partnerships around human gene analysis and cancer treatment

Two recent Watson Analytics stories

Tow recent stories about Watson Analytics:

Watson Analytics Pro rolls out with added database, collaboration support

Watson Analytics Professional also comes with connectors to cloud storage providers Box and Dropbox.

IBM Bolsters Watson Analytics, Big Data Tools

IBM continues to bolster its business analytics and big data initiatives across Watson Analytics in the cloud; Bluemix developer tools; and Power Systems hardware.

IBM, Apple Partner on Watson Health Cloud

IBM, backed by new Watson Health Cloud, partners with Apple, Johnson & Johnson and Medtronic on healthcare patient data analysis.  Read about it here on +Information Management

IBM Launches Watson Analytics Cloud Service Beta

IBM wants to bring Watson -- the company's artificial intelligence platform -- to the masses. First known as a supercomputer of sorts, Watson technology is now rolling out in a range of easier-to-consume ways, including a Watson Analytics cloud service.

Continue to read on +Information Management

Meet IBM Watson's Potential Rival

+Sentient Technologies , a potential IBM Watson rival focused on artificial intelligence, machine learning and big data, has raised $103.5 million in Series C funding.

Key financial backers include Access Industries, Tata Communications (Hong Kong), Horizons Ventures, and a group of private investors. ""Making sense of massive amounts of data is critical for consumer-facing digital businesses,” said Jörg Mohaupt from Access Industries, in a prepared statement.

Article from +Information Management

IBM’s New Watson Analytics Wants To Bring Big Data To The Masses

An article on +TechCrunch about the announcement from +IBM Big Data & Analytics of the release of Watson Analytics.

Also here is an article written by +Lillian Pierson showing how it actually works.

It's going to be a cloud based service I just hope they have sensible pricing.