Robert Grossman –University of Chicago
Joe Mambretti–Northwestern University
Piers Nash –University of Chicago
Jim Chen –Northwestern University
Allison Heath –University of Chicago
apidays LIVE Australia 2021 - APIs enable global collaborations and accelerat...apidays
apidays LIVE Australia 2021 - Accelerating Digital
September 15 & 16, 2021
Locknote: APIs enable global collaborations and accelerate health and medical research
Dr. Denis Bauer, Head Cloud Computing Bioinformatics at CSIRO
Are we FAIR yet? And will it be worth it?
The FAIR Principles propose essential characteristics that all digital resources (e.g. datasets, repositories, web services) should possess to be Findable, Accessible, Interoperable, and Reusable by both humans and machines. The Principles act as a guide that researchers and data stewards should expect from contemporary digital resources, and in turn, the requirements on them when publishing their own scholarly products. As interest in, and support for the Principles has spread, the diversity of interpretations has also broadened, with some resources claiming to already “be FAIR”.
This talk will elaborate on what FAIR is, what it entails, and how we should evaluate FAIRness. I will describe new social and technological infrastructure to support the creation and evaluation of FAIR resources, and how FAIR fits into institutional, national and international efforts. Finally, I will discuss the merits of the FAIR principles (and what we ask of people) in the context of strengthening data-driven scientific inquiry.Are we FAIR yet? And will it be worth it?
The FAIR Principles propose essential characteristics that all digital resources (e.g. datasets, repositories, web services) should possess to be Findable, Accessible, Interoperable, and Reusable by both humans and machines. The Principles act as a guide that researchers and data stewards should expect from contemporary digital resources, and in turn, the requirements on them when publishing their own scholarly products. As interest in, and support for the Principles has spread, the diversity of interpretations has also broadened, with some resources claiming to already “be FAIR”.
This talk will elaborate on what FAIR is, what it entails, and how we should evaluate FAIRness. I will describe new social and technological infrastructure to support the creation and evaluation of FAIR resources, and how FAIR fits into institutional, national and international efforts. Finally, I will discuss the merits of the FAIR principles (and what we ask of people) in the context of strengthening data-driven scientific inquiry.
Keynote given at NETTAB2018 - http://www.igst.it/nettab/2018/
apidays LIVE Australia 2021 - APIs enable global collaborations and accelerat...apidays
apidays LIVE Australia 2021 - Accelerating Digital
September 15 & 16, 2021
Locknote: APIs enable global collaborations and accelerate health and medical research
Dr. Denis Bauer, Head Cloud Computing Bioinformatics at CSIRO
Are we FAIR yet? And will it be worth it?
The FAIR Principles propose essential characteristics that all digital resources (e.g. datasets, repositories, web services) should possess to be Findable, Accessible, Interoperable, and Reusable by both humans and machines. The Principles act as a guide that researchers and data stewards should expect from contemporary digital resources, and in turn, the requirements on them when publishing their own scholarly products. As interest in, and support for the Principles has spread, the diversity of interpretations has also broadened, with some resources claiming to already “be FAIR”.
This talk will elaborate on what FAIR is, what it entails, and how we should evaluate FAIRness. I will describe new social and technological infrastructure to support the creation and evaluation of FAIR resources, and how FAIR fits into institutional, national and international efforts. Finally, I will discuss the merits of the FAIR principles (and what we ask of people) in the context of strengthening data-driven scientific inquiry.Are we FAIR yet? And will it be worth it?
The FAIR Principles propose essential characteristics that all digital resources (e.g. datasets, repositories, web services) should possess to be Findable, Accessible, Interoperable, and Reusable by both humans and machines. The Principles act as a guide that researchers and data stewards should expect from contemporary digital resources, and in turn, the requirements on them when publishing their own scholarly products. As interest in, and support for the Principles has spread, the diversity of interpretations has also broadened, with some resources claiming to already “be FAIR”.
This talk will elaborate on what FAIR is, what it entails, and how we should evaluate FAIRness. I will describe new social and technological infrastructure to support the creation and evaluation of FAIR resources, and how FAIR fits into institutional, national and international efforts. Finally, I will discuss the merits of the FAIR principles (and what we ask of people) in the context of strengthening data-driven scientific inquiry.
Keynote given at NETTAB2018 - http://www.igst.it/nettab/2018/
Transforming Research in Collaboration with Funding AgenciesAmazon Web Services
Funding agencies constitute one of the essential pillars for research and have been the backbone for innovation. Data-driven collaborative research is an integral part of many domains. In this session, leaders from the world's largest biomedical and science research agencies, the National Institutes of Health (NIH) and the National Science Foundation (NSF) discuss their programs, including NIH Data Commons and Harnessing the Data Revolution (HDR). The goal of the NIH Data Commons is to accelerate new biomedical discoveries by providing a cloud-based platform where investigators can store, share, access, and compute on digital objects generated from biomedical research. HDR is one of the 10 "Big Ideas" for future investment from the NSF for fundamental data science research. These collaborative initiatives will enable researchers to accelerate science and engineering through improved access to data, tooling, analytic resources in the cloud. These programs will revolutionize the way scientific data and resources are utilized by the research communities.
Featuring data engineering patterns and practical examples in Python and R, this webinar focuses on technical considerations and data engineering techniques to optimize data preparation to get the most value from your big data pipeline.
The FAIR Principles propose key characteristics that all digital resources (e.g. datasets, repositories, web services) should possess to be Findable, Accessible, Interoperable, and Reusable by people and machines. The Principles act as a guide that researchers should expect from contemporary digital resources, and in turn, the requirements on them when publishing their own scholarly products. As interest in, and support for the Principles has spread, the diversity of interpretations has also broadened, with some resources claiming to already “be FAIR”. This talk will elaborate on what FAIR is, why we need it, what it entails, and how we should evaluate FAIRness. I will describe new social and technological infrastructure to support the creation and evaluation of FAIR resources, and how FAIR fits into institutional, national and international efforts. Finally, I will discuss the merits of the FAIR principles (and what we ask of people) in the context of strengthening data-driven scientific inquiry.
Data Harmonization for a Molecularly Driven Health SystemWarren Kibbe
Maximizing the value of data, computing, data science in an academic medical center, or 'towards a molecularly informed Learning Health System. Given in October at the University of Florida in Gainesville
From Data to Visualization: Emerging Tools for Research / Jan JohanssonPVC.ASIST
Traditionally, data analysis has required extensive expertise in math and statistics combined with training in complex software applications like SAS, Matlab, and the R programming language. Recently, however, new technologies and services have emerged that make it possible to work with raw data using web applications with simple visual interfaces. These visually compelling tools allow researchers to quickly see and communicate relationships between diverse trends, like the correlation between weather and burglary.This session will include a brief review of the visualizations built into traditional statistical software packages like R and Matlab followed by a demonstration of three new web-based tools applied to three real research topics.
Are you interested in finding out how your organisation can comply with the new European Commission Directive on Open Data and the Re-use of Public Sector Information (also known as the ‘Open Data Directive’)? The Open Data Directive entered into force on 16 July 2019 and will transposed into National Law in July 2021.
https://digital-strategy.ec.europa.eu/en/policies/open-data
In this presentation, we look at how an organisation can get started with Open Data publishing, including what data do we manage, which data should we publish as Open Data, or how can we make data available as Open Data?
Presented as part of the webinar 'It’s time to Open - Preparing for new Open Data and Reuse of PSI Directive'.
https://www.eventbrite.co.uk/e/its-time-to-open-preparing-for-new-open-data-and-reuse-of-psi-directive-tickets-143034131939#
Data Preparation and Visualization for Monitoring NCDs MortalityRamon Martinez
This is the slide deck of my talk at the Alteryx webinar Tableau Zen Masters - Preparing Data for the Conference, Oct 13, 2015.
It describes how we prepare data for analysis and visualization, particularly for assessing the trends of premature mortality from noncommunicable diseases.
apidays LIVE New York 2021 - Digital device and social media’s role in Health...apidays
apidays LIVE New York 2021 - API-driven Regulations for Finance, Insurance, and Healthcare
July 28 & 29, 2021
Digital device and social media’s role in Health awareness
Aiman Tohid, Global Health Worker
Transforming Research in Collaboration with Funding AgenciesAmazon Web Services
Funding agencies constitute one of the essential pillars for research and have been the backbone for innovation. Data-driven collaborative research is an integral part of many domains. In this session, leaders from the world's largest biomedical and science research agencies, the National Institutes of Health (NIH) and the National Science Foundation (NSF) discuss their programs, including NIH Data Commons and Harnessing the Data Revolution (HDR). The goal of the NIH Data Commons is to accelerate new biomedical discoveries by providing a cloud-based platform where investigators can store, share, access, and compute on digital objects generated from biomedical research. HDR is one of the 10 "Big Ideas" for future investment from the NSF for fundamental data science research. These collaborative initiatives will enable researchers to accelerate science and engineering through improved access to data, tooling, analytic resources in the cloud. These programs will revolutionize the way scientific data and resources are utilized by the research communities.
Featuring data engineering patterns and practical examples in Python and R, this webinar focuses on technical considerations and data engineering techniques to optimize data preparation to get the most value from your big data pipeline.
The FAIR Principles propose key characteristics that all digital resources (e.g. datasets, repositories, web services) should possess to be Findable, Accessible, Interoperable, and Reusable by people and machines. The Principles act as a guide that researchers should expect from contemporary digital resources, and in turn, the requirements on them when publishing their own scholarly products. As interest in, and support for the Principles has spread, the diversity of interpretations has also broadened, with some resources claiming to already “be FAIR”. This talk will elaborate on what FAIR is, why we need it, what it entails, and how we should evaluate FAIRness. I will describe new social and technological infrastructure to support the creation and evaluation of FAIR resources, and how FAIR fits into institutional, national and international efforts. Finally, I will discuss the merits of the FAIR principles (and what we ask of people) in the context of strengthening data-driven scientific inquiry.
Data Harmonization for a Molecularly Driven Health SystemWarren Kibbe
Maximizing the value of data, computing, data science in an academic medical center, or 'towards a molecularly informed Learning Health System. Given in October at the University of Florida in Gainesville
From Data to Visualization: Emerging Tools for Research / Jan JohanssonPVC.ASIST
Traditionally, data analysis has required extensive expertise in math and statistics combined with training in complex software applications like SAS, Matlab, and the R programming language. Recently, however, new technologies and services have emerged that make it possible to work with raw data using web applications with simple visual interfaces. These visually compelling tools allow researchers to quickly see and communicate relationships between diverse trends, like the correlation between weather and burglary.This session will include a brief review of the visualizations built into traditional statistical software packages like R and Matlab followed by a demonstration of three new web-based tools applied to three real research topics.
Are you interested in finding out how your organisation can comply with the new European Commission Directive on Open Data and the Re-use of Public Sector Information (also known as the ‘Open Data Directive’)? The Open Data Directive entered into force on 16 July 2019 and will transposed into National Law in July 2021.
https://digital-strategy.ec.europa.eu/en/policies/open-data
In this presentation, we look at how an organisation can get started with Open Data publishing, including what data do we manage, which data should we publish as Open Data, or how can we make data available as Open Data?
Presented as part of the webinar 'It’s time to Open - Preparing for new Open Data and Reuse of PSI Directive'.
https://www.eventbrite.co.uk/e/its-time-to-open-preparing-for-new-open-data-and-reuse-of-psi-directive-tickets-143034131939#
Data Preparation and Visualization for Monitoring NCDs MortalityRamon Martinez
This is the slide deck of my talk at the Alteryx webinar Tableau Zen Masters - Preparing Data for the Conference, Oct 13, 2015.
It describes how we prepare data for analysis and visualization, particularly for assessing the trends of premature mortality from noncommunicable diseases.
apidays LIVE New York 2021 - Digital device and social media’s role in Health...apidays
apidays LIVE New York 2021 - API-driven Regulations for Finance, Insurance, and Healthcare
July 28 & 29, 2021
Digital device and social media’s role in Health awareness
Aiman Tohid, Global Health Worker
A presentation covering research fraud, and some basic concepts for interpreting papers. The presentation was made at the annual congress of PainSA, Johannesburg, South Africa, 2015.
Dr Hakim Yadi, Chief Executive Officer for Northern Health Science Alliance (NHSA) opened the May 24th Ecosystem event with this introduction to Connected Health Cities in the North West.
e-Patients and Sustainable Health Development in South AfricaStanford University
A presentation for the IT sector in South Africa explaining the importance of e-Patients at the centre of ICT health system design, however still recognising that every user plays a critical role to generate quality-driven, holistic data for precision medicine, both locally and globally.
Building Partnerships for Comprehensive Disease Prevention and Treatment Camp...Rotary International
Rotary Family Health Days is a massive, comprehensive
Rotarian-led disease prevention program in Africa and
India. Over the last five years, Rotarians for Family Health
and AIDS Prevention in partnership with 564 Rotary
Clubs, in-country ministries of health, the U.S. Centers
for Disease Control, philanthropic foundations, and media houses, provided free annual screenings and lifesaving
immunizations to over 1.1 million underserved people. Learn
best practices for building partnerships, tips for funding and
evaluating your project, and how you can participate in this
high-impact disease prevention program.
"Over 50% of acquisitions had prior partnership relationships!"
Whether you are seeking to be acquired or to partner for revenue growth, the process is similar, a Partnering Process.
Better to be approached to be bought than to actively sell your company.
How do you do it?
Want to grow the 'Strategic Value' of your business?
Learn how to Increase your: ● Attractiveness ● Potential ● Revenue growth
While increasing your shareholder value!
An update of earlier presentations on physicians' social networks, but with a focus on oncology, one of the most e-reliant specialities in medicine. First presented at Sales & Marketing for Oncology Therapeutics, Brussels, 16 March 2010.
WhatsApp Telemedicine For the Developing World: What Can We Learn From India by Maurice Mars Head Dept of TeleHealth, Nelson, R Mandela School of Medicine @ University of KwaZulu-Natal, South Africa
Hear, ask your questions and learn from Tenego on: how to identify what it takes to partner with giant software companies; how to manage a giant partner; alternatives to partnering with large companies and more.
What You Will Learn?
• What does it take to partner with the global giant software solution companies and System Integrator?
• What do the Giants look for in the product partner companies? How do they evaluate partners?
• How are these companies structured? Can they be truly global partners for your business?
• How do you manage a giant partner?
• How do you evaluate if the giants are the right path for your business?
• What are the alternatives and often better/ faster routes for your business?
• Can the attributes you seek in the giants be found in smaller more agile, more manageable partners?
Who it is suitable for?
CEOs, Alliances Development, Channel Development and Senior Business Development staff of Software Companies or Cloud Based Solutions with existing partners or that want to have partners in the future.
BIMCV, Banco de Imagen Medica de la Comunidad Valenciana. María de la IglesiaMaria de la Iglesia
Según Hal Varian (experto en microeconomía y economía de la información y, desde el año 2002, Chief Economist de Google) “En los próximos años, el trabajo más atractivo será el de los estadísticos: La capacidad de recoger datos, comprenderlos, procesarlos, extraer su valor, visualizarlos, comunicarlos serán todas habilidades importantes en las próximas décadas. Ahora disponemos de datos gratuitos y omnipresentes. Lo que aún falta es la capacidad de comprender estos datos“.
Building an Intelligent Biobank to Power Research Decision-MakingDenodo
This presentation belongs to the workshop: "Building an Intelligent Biobank to Power Research Decision-Making", from ISBER 2015 Annual Meeting by Lori A. Ball (Chief Operating Officer, President of Integrated Client Solutions at BioStorage Technologies, Inc), Brian Brunner (Senior Manager, Clinical Practice at LabAnswer) and Suresh Chandrasekaran (Senior Vice President at Denodo).
The workshop cover three different topic areas:
- Research sample intelligence: the growing need for Global Data Integration (Biobank Sample and Data Stakeholders).
- Building a research data integration plan and cloud sourcing strategy (data integration).
- How data virtualization works and the value it delivers (a data virtualization introduction, solution portfolio and current customers in Life Sciences industry).
The biomedical R&D environment is increasingly dependent on data meta-analysis and bioinformatics to support research advancements. The integration of biorepository sample inventory data with biomarker and clinical research information has become a priority to R&D organizations. Therefore, a flexible IT system for managing sample collections, integrating sample data with clinical data and providing a data virtualization platform will enable the advancement of research studies. This workshop provides an overview of how sample data integration, virtualization and analytics can lead to more streamlined and unified sample intelligence to support global biobanking for future research.
Microsoft: A Waking Giant In Healthcare Analytics and Big DataHealth Catalyst
In 2005, Northwestern Memorial Healthcare embarked upon a strategic Enterprise Data Warehousing (EDW) initiative with the Microsoft technology platform as the foundation. Dale Sanders was CIO at Northwestern and led the development of Northwestern’s Microsoft-based EDW. At that time, Microsoft as an EDW platform was not en vogue and there were many who doubted the success of the Northwestern project. While other organizations were spending millions of dollars and years developing EDW’s and analytics on other platforms, Northwestern achieved great and rapid value at a fraction of the cost of the more typical technology platforms. Now, there are more healthcare data warehouses built around Microsoft products than any other vendor. The risky bet on Microsoft in 2005 paid off.
Ten years ago, critics didn’t believe that Microsoft could scale in the second generation of relational data warehouses, but they did. More recently, many of these same pundits have criticized Microsoft for missing the technology wave du jour in cloud offerings, mobile technology, and big data. But, once again, Microsoft has been quietly reengineering its culture and products, and as a result, they now offer the best value and most visionary platform for cloud services, big data, and analytics in healthcare.
In this context, Dale will talk about:
His up and down journey with Microsoft as an Air Force and healthcare CIO, and why he is now more bullish on Microsoft like never before
A quick review of the Healthcare Analytics Adoption Model and Closed Loop Analytics in healthcare, and how Microsoft products relate to both
The rise of highly specialized, cloud-based analytic services and their value to healthcare organizations’ analytics strategies
Microsoft’s transformation from a closed-system, desktop PC company to an open-system consumer and business infrastructure company
The current transition period of enterprise data warehouses between the decline of relational databases and the rise of non-relational databases, and the new Microsoft products, notably Azure and the Analytic Platform System (APS), that bridge the transition of skills and technology while still integrating with core products like Office, Active Directory, and System Center
Microsoft’s strategy with its PowerX product line, and geospatial analysis and machine learning visualization tools
Microsoft: A Waking Giant in Healthcare Analytics and Big DataDale Sanders
Ten years ago, critics didn’t believe that Microsoft could scale in the second generation of relational data warehouses, but they did. More recently, many of these same pundits have criticized Microsoft for missing the technology wave du jour in cloud offerings, mobile technology, and big data. But, once again, Microsoft has been quietly reengineering its culture and products, and as a result, they now offer the best value and most visionary platform for cloud services, big data, and analytics in healthcare.
Closing the Loop in Healthcare Analytics - Correlating Clinical and Administrative Systems with Research Efforts to Deliver Clinical Efficiency in Real Time
In this presentation, Shaheen Gauher talks about two things: (1) How data science and machine learning can be used to manage and control escalating healthcare costs, and (2) How to create a Population Health Management Solution using state of the art Azure Data Lake Analytics and Population Health Report with real time visualization capability using Power BI. The solution presented can be deployed on Azure through a one-click deployment option in https://gallery.cortanaintelligence.com/
CINECA webinar slides: Data Gravity in the Life Sciences: Lessons learned fro...CINECAProject
We live in an era of cloud computing. Many of the services in the life sciences are keenly planning cloud transformations, seeking to create globally distributed ecosystems of harmonised data based on standards from organisations like GA4GH. CINECA faces similar challenges, gathering cohort datasets from all over the globe, many of which are pinned in place, due to their size, legal restrictions, or other considerations. But is “bringing compute to the data” always the right choice? In this webinar, based on experiences from the Human Cell Atlas Data Coordination Platform and other projects from EMBL-EBI, we will explore the concept of “data gravity”: The idea that whilst there are forces that may hold data in one place, there are others that require it to be mobile. We’ll consider how effectively planning a cloud strategy requires consideration of the gravity of datasets, and the impact it may have on team skills required, incentives for good practice, and storage and compute costs.
The CINECA webinar series aims to discuss ways to address common challenges and share best practices in the field of cohort data analysis, as well as distribute CINECA project results. All CINECA webinars include an audience Q&A session during which attendees can ask questions and make suggestions. Please note that all webinars are recorded and available for posterior viewing. CINECA webinars include an audience Q&A session during which attendees can ask questions and make suggestions.
This webinar took place on 12th November 2020 and is part of the CINECA webinar series.
For previous and upcoming CINECA webinars see:
https://www.cineca-project.eu/webinars
At the Department of Biomedical Informatics @ Pitt we are embarking on a data commons for researchers at the University of Pittsburgh and eventually the region. This Ignite style talk was presented at the American College of Medical Informatics in February 2017.
E-mail me at becich@pitt.edu if you want to learn more about our efforts.
NOTE: We are recruiting talented individuals to assist in this effort as well as a Clinical Research Informatics Officer (CRIO).
Enterprise Analytics: Serving Big Data Projects for HealthcareDATA360US
Andrew Rosenberg's Presentation on "Enterprise Analytics: Serving Big Data Projects for Healthcare" at DATA 360 Healthcare Informatics Conference - March 5th, 2015
ICRISAT Global Planning Meeting 2019: Research Data Management by Abhishek Ra...ICRISAT
ICRISAT has developed various data management and sharing platforms for better pedigree management, breeding practice analysis, survey management, climate prediction activities and the like, for better data management and to maximize the benefits of these research data as long term assets of ICRISAT and the global scientific community.
Data Harmonization for a Molecularly Driven Health SystemWarren Kibbe
Seminar for Dr. Min Zhang's Purdue Bioinformatics Seminar Series. Touched on learning health systems, the Gen3 Data Commons, the NCI Genomic Data Commons, Data Harmonization, FAIR, and open science.
We are living in the world of “Big Data”. “Big Data” is mainly expressed with three Vs – Volume, Velocity and Variety. The presentation will discuss how Big Data impacts Pharmaceutical Industry and how drug companies can lead this new Big Data environment.
What is Data Commons and How Can Your Organization Build One?Robert Grossman
This is a talk that I gave at the Molecular Medicine Tri Conference on data commons and data sharing to accelerate research discoveries and improve patient outcomes. It also covers how your organization can build a data commons using the Open Commons Consortium's Data Commons Framework and the University of Chicago's Gen3 data commons platform.
Similar to Prototype SDX Bioinformatics Exchange: Demonstrating an Essential Use-Case for Personalized Medicine (20)
Slides from US Ignite Smart Gigabit Community lighting rounds. Part of the US Ignite Wednesday afternoon sessions at the 2017 Smart Cities Connect conference in Austin Texas.
NSF PI Meeting presentation on US Ignite - Nishal MohanUS-Ignite
Presentation by Dr. Nishal Mohan, National Community Leader of US Ignite. Part of the Monday NSF PI meeting sessions of the Smart Cities Connect conference 2017
New Smart Gigabit Community 2017 announcement - Nishal MohanUS-Ignite
Welcoming new US Ignite Smart Gigabit Communities members for 2017. Part of the US Ignite Tuesday morning sessions at the 2017 Smart Cities Connect conference in Austin Texas.
RFP announcement for new US Ignite Smart Gigabit Cities - Nishal MohanUS-Ignite
Presentation by US Ignite National Community Leader, Dr. Nishal Mohan on the RFP for new members of the Smart Gigabit Communities program. Part of the US Ignite Tuesday morning sessions at the 2017 Smart Cities Connect conference in Austin Texas.
Holograms in Your City: Smart Training, Data Visualization and Communication ...US-Ignite
A demonstration on innovative approaches to education and engagement by Professor of Computer Science at Case Western Reserve University, Mark Griswold. Part of the US Ignite Tuesday morning sessions at the 2017 Smart Cities Connect conference in Austin Texas.
Innovation in Gigcity, Chattanooga TN - Ken HayesUS-Ignite
Director of the Enterprise Center presents on the incredible success story that is Chattanooga Tennessee. Part of the US Ignite Wednesday morning sessions at the 2017 Smart Cities Connect conference in Austin Texas.
Compute for Cancer features an application that harnesses unused computing power in Smart Gigabit Communities and applies the computing power towards efforts to help cure cancer. Part of the US Ignite Wednesday morning sessions at the 2017 Smart Cities Connect conference in Austin Texas.
Towards Wireless-Networked Real-Time Augmented Vision - Hongwei ZhangUS-Ignite
Presentation by Hongwei Zhang, professor of Computer Science at Wayne State University. Part of the US Ignite Wednesday morning sessions at the 2017 Smart Cities Connect conference in Austin Texas.
The Future of Smart & Connected Communities: Driving Science and Community Im...US-Ignite
Erwin Gianchandani, Deputy Assistant Director for Computer & Information Science and Engineering (CISE), National Science Foundation discusses the future of Smart Cities. Part of the US Ignite Tuesday morning sessions at the 2017 Smart Cities Connect conference in Austin Texas.
Data-Driven Green Design Case Studies - Dominique DavisonUS-Ignite
Presentation on as part of the demonstration of PlanIT Impact, a smart gigabit application from Kansas City for enable data-driven green design. Part of the US Ignite Wednesday morning sessions at the 2017 Smart Cities Connect conference in Austin Texas.
Innovation in Phoenix: City on the Rise - Dominic PapaUS-Ignite
Presentation on Innovation in the city of Phoenix, AZ by Dominic Papa, Executive Director of the Arizona Institute for Digital Progress. Part of the US Ignite Wednesday morning sessions at the 2017 Smart Cities Connect conference in Austin Texas.
NSF 16-610* is a notification of opportunities to support, foster, and accelerate fundamental research and education that addresses challenges in enabling Smart & Connected Communities (S&CC)
Next Generation Broadband Cities - Lightning TalksUS-Ignite
Lightning Talks fromMegan Smith U.S. Chief Technology Officer
NIST, OSTP, Tech Hire, Maker Movement, CitySDK, Regional Big Data Hubs, Start-up in a Day, Broadband Connectivity Index, ConectED, Community Gigabit Fund
at the Launch of Smart Gigabit Communities event January 26, 2016
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Ozempic: Preoperative Management of Patients on GLP-1 Receptor Agonists Saeid Safari
Preoperative Management of Patients on GLP-1 Receptor Agonists like Ozempic and Semiglutide
ASA GUIDELINE
NYSORA Guideline
2 Case Reports of Gastric Ultrasound
Title: Sense of Smell
Presenter: Dr. Faiza, Assistant Professor of Physiology
Qualifications:
MBBS (Best Graduate, AIMC Lahore)
FCPS Physiology
ICMT, CHPE, DHPE (STMU)
MPH (GC University, Faisalabad)
MBA (Virtual University of Pakistan)
Learning Objectives:
Describe the primary categories of smells and the concept of odor blindness.
Explain the structure and location of the olfactory membrane and mucosa, including the types and roles of cells involved in olfaction.
Describe the pathway and mechanisms of olfactory signal transmission from the olfactory receptors to the brain.
Illustrate the biochemical cascade triggered by odorant binding to olfactory receptors, including the role of G-proteins and second messengers in generating an action potential.
Identify different types of olfactory disorders such as anosmia, hyposmia, hyperosmia, and dysosmia, including their potential causes.
Key Topics:
Olfactory Genes:
3% of the human genome accounts for olfactory genes.
400 genes for odorant receptors.
Olfactory Membrane:
Located in the superior part of the nasal cavity.
Medially: Folds downward along the superior septum.
Laterally: Folds over the superior turbinate and upper surface of the middle turbinate.
Total surface area: 5-10 square centimeters.
Olfactory Mucosa:
Olfactory Cells: Bipolar nerve cells derived from the CNS (100 million), with 4-25 olfactory cilia per cell.
Sustentacular Cells: Produce mucus and maintain ionic and molecular environment.
Basal Cells: Replace worn-out olfactory cells with an average lifespan of 1-2 months.
Bowman’s Gland: Secretes mucus.
Stimulation of Olfactory Cells:
Odorant dissolves in mucus and attaches to receptors on olfactory cilia.
Involves a cascade effect through G-proteins and second messengers, leading to depolarization and action potential generation in the olfactory nerve.
Quality of a Good Odorant:
Small (3-20 Carbon atoms), volatile, water-soluble, and lipid-soluble.
Facilitated by odorant-binding proteins in mucus.
Membrane Potential and Action Potential:
Resting membrane potential: -55mV.
Action potential frequency in the olfactory nerve increases with odorant strength.
Adaptation Towards the Sense of Smell:
Rapid adaptation within the first second, with further slow adaptation.
Psychological adaptation greater than receptor adaptation, involving feedback inhibition from the central nervous system.
Primary Sensations of Smell:
Camphoraceous, Musky, Floral, Pepperminty, Ethereal, Pungent, Putrid.
Odor Detection Threshold:
Examples: Hydrogen sulfide (0.0005 ppm), Methyl-mercaptan (0.002 ppm).
Some toxic substances are odorless at lethal concentrations.
Characteristics of Smell:
Odor blindness for single substances due to lack of appropriate receptor protein.
Behavioral and emotional influences of smell.
Transmission of Olfactory Signals:
From olfactory cells to glomeruli in the olfactory bulb, involving lateral inhibition.
Primitive, less old, and new olfactory systems with different path
Recomendações da OMS sobre cuidados maternos e neonatais para uma experiência pós-natal positiva.
Em consonância com os ODS – Objetivos do Desenvolvimento Sustentável e a Estratégia Global para a Saúde das Mulheres, Crianças e Adolescentes, e aplicando uma abordagem baseada nos direitos humanos, os esforços de cuidados pós-natais devem expandir-se para além da cobertura e da simples sobrevivência, de modo a incluir cuidados de qualidade.
Estas diretrizes visam melhorar a qualidade dos cuidados pós-natais essenciais e de rotina prestados às mulheres e aos recém-nascidos, com o objetivo final de melhorar a saúde e o bem-estar materno e neonatal.
Uma “experiência pós-natal positiva” é um resultado importante para todas as mulheres que dão à luz e para os seus recém-nascidos, estabelecendo as bases para a melhoria da saúde e do bem-estar a curto e longo prazo. Uma experiência pós-natal positiva é definida como aquela em que as mulheres, pessoas que gestam, os recém-nascidos, os casais, os pais, os cuidadores e as famílias recebem informação consistente, garantia e apoio de profissionais de saúde motivados; e onde um sistema de saúde flexível e com recursos reconheça as necessidades das mulheres e dos bebês e respeite o seu contexto cultural.
Estas diretrizes consolidadas apresentam algumas recomendações novas e já bem fundamentadas sobre cuidados pós-natais de rotina para mulheres e neonatos que recebem cuidados no pós-parto em unidades de saúde ou na comunidade, independentemente dos recursos disponíveis.
É fornecido um conjunto abrangente de recomendações para cuidados durante o período puerperal, com ênfase nos cuidados essenciais que todas as mulheres e recém-nascidos devem receber, e com a devida atenção à qualidade dos cuidados; isto é, a entrega e a experiência do cuidado recebido. Estas diretrizes atualizam e ampliam as recomendações da OMS de 2014 sobre cuidados pós-natais da mãe e do recém-nascido e complementam as atuais diretrizes da OMS sobre a gestão de complicações pós-natais.
O estabelecimento da amamentação e o manejo das principais intercorrências é contemplada.
Recomendamos muito.
Vamos discutir essas recomendações no nosso curso de pós-graduação em Aleitamento no Instituto Ciclos.
Esta publicação só está disponível em inglês até o momento.
Prof. Marcus Renato de Carvalho
www.agostodourado.com
Here is the updated list of Top Best Ayurvedic medicine for Gas and Indigestion and those are Gas-O-Go Syp for Dyspepsia | Lavizyme Syrup for Acidity | Yumzyme Hepatoprotective Capsules etc
Rasamanikya is a excellent preparation in the field of Rasashastra, it is used in various Kushtha Roga, Shwasa, Vicharchika, Bhagandara, Vatarakta, and Phiranga Roga. In this article Preparation& Comparative analytical profile for both Formulationon i.e Rasamanikya prepared by Kushmanda swarasa & Churnodhaka Shodita Haratala. The study aims to provide insights into the comparative efficacy and analytical aspects of these formulations for enhanced therapeutic outcomes.
Integrating Ayurveda into Parkinson’s Management: A Holistic ApproachAyurveda ForAll
Explore the benefits of combining Ayurveda with conventional Parkinson's treatments. Learn how a holistic approach can manage symptoms, enhance well-being, and balance body energies. Discover the steps to safely integrate Ayurvedic practices into your Parkinson’s care plan, including expert guidance on diet, herbal remedies, and lifestyle modifications.
NVBDCP.pptx Nation vector borne disease control programSapna Thakur
NVBDCP was launched in 2003-2004 . Vector-Borne Disease: Disease that results from an infection transmitted to humans and other animals by blood-feeding arthropods, such as mosquitoes, ticks, and fleas. Examples of vector-borne diseases include Dengue fever, West Nile Virus, Lyme disease, and malaria.
NVBDCP.pptx Nation vector borne disease control program
Prototype SDX Bioinformatics Exchange: Demonstrating an Essential Use-Case for Personalized Medicine
1. 1 Beyond Today’s Internet • March 25, 2015
Beyond Today’s Internet
Experiencing a Smart Future
Prototype SDX Bioinformatics
Exchange: Demonstrating an
Essential Use-Case for
Personalized Medicine
Robert Grossman – University of Chicago
Joe Mambretti – Northwestern University
Piers Nash – University of Chicago
Jim Chen – Northwestern University
Allison Heath – University of Chicago
2. 2 Beyond Today’s Internet • March 25, 2015
Precision Medicine
Based on Large Scale
Genomic Data
3. 3 Beyond Today’s Internet • March 25, 2015
Precision Medicine
• Precisely match treatments to patients and their specific disease
• Genomic data promises optimal matching.
• 1.7 million cancer cases diagnosed in America each year.
• A single RNA-seq file is 10-20 GB, Whole genome raw data files are > 100 GB.
• Analysis has become the bottleneck and data size is an issue.
2,000,000 genomes ≈ 1 Exabyte (1,000,000,000,000 MB)
Cost to sequence 1 genome less than $5,000 and falling fast.
Cost to analyze 1 genome is approx. $100,000 and rising.
• A key step towards Algorithm-assisted Personalized medicine is building Data
Commons/Cloud analytics and the *Programmable* Networks &
Communication Exchanges (SDXs) for high performance, flexible data transport.
4. 4 Beyond Today’s Internet • March 25, 2015
Infrastructure for Precision Medicine
5. 5 Beyond Today’s Internet • March 25, 2015
NCI Genomic Data Commons
• Harmonization and storage for the Nations Cancer Genomic Data GDC
1.6PB of cancer genomic data and associated clinical data.
• Precision Medicine Enabled By Precision Networking
6. 6 Beyond Today’s Internet • March 25, 2015
Bionimbus Protected Data Cloud
• Petabyte-scale, secure compliant biomedical cloud that
interoperates with dbGaP controlled access data at NIH.
7. 7 Beyond Today’s Internet • March 25, 2015
Infrastructure for Precision Medicine
8. 8 Beyond Today’s Internet • March 25, 2015
Hospitals, Doctors
Cloud Computation
Genomic Data Commons
Patients
Output: Data-Aware,
Analytics-Informed
Diagnosis, Prognosis,
Optimal Treatment
Future Vision: A Nationwide Virtual Comprehensive Cancer Center
9. 9 Beyond Today’s Internet • March 25, 2015
Deploying and Operating
a prototype SDX
10. 10 Beyond Today’s Internet • March 25, 2015
Opportunity: Close Integration of Research
Workflows and Foundation Networks
• Opportunity: Using GENI To Develop Innovative Techniques for
Extremely Close Integration of Research WorkFlows and Dynamic
Programmable Network Resources, Enabling Precision Networking
• Network Foundation Architecture: GENI + Innovative Customized
Software Defined Networking Exchange (SDX)
• For This Demonstration: Specifically To Meet The Requirements of
Bioinformatic Workflows
11. 11 Beyond Today’s Internet • March 25, 2015
GENI Network Programmability Is Key
GENI Programmability
• GENI Provides A Platform for Building the Required Precision Communication
Services, Networks and Exchanges (SDXs)
• GENI OpenFlow Network
– National Overlay Infrastructure Comprised of Shared VLANs Interconnected
With OpenFlow Switches
– FOAM/FlowVisor Enabling Sliced OF Switches (e.g., via Subnet, VLAN,
Tunnel, etc)
• Discoverable, Integratable, Configurable, Programmable, Virtual Devices: Click
Routers, OVS Switches, Mobile Devices, Instrumentation, and Other Resources
• Dynamic Edge Process Topology Design and Implementation
12. 12 Beyond Today’s Internet • March 25, 2015
Today’s Demonstration
Precision Networks for Precision Medicine
13. 13 Beyond Today’s Internet • March 25, 2015
Biomedical Data Commons
Data Repository A (West Coast)
Data Repository C (Asia) Data Repository D (Europe)
Data Repository B
(South)
Visualization Engines
North AmericaCompute Engines
(Midwest)
Required Resources (Data & Tools) Are
Highly Distributed
14. 14 Beyond Today’s Internet • March 25, 2015
Biomedical Data Commons:
Flow Orchestration: Data Plane
Data Repository A (West Coast)
Data Repository C (Asia) Data Repository D (Europe)
Data Repository B
(South)
Visualization Engines
North AmericaCompute Engines
(Midwest)
Data Plane
15. 15 Beyond Today’s Internet • March 25, 2015
Biomedical Data Commons:
Flow Orchestration: Control Plane + Data Plane
Data Plane
Control Plane
Data Repository A (West Coast)
Data Repository C (Asia) Data Repository D (Europe)
Data Repository B
(South)
Visualization Engines
North AmericaCompute Engines
(Midwest)
17. 17 Beyond Today’s Internet • March 25, 2015
Today’s Demonstration
• A) Dynamically Moving Core Data Files Among Multiple Sites Around
the World Via StarLight SDX
• B) Moving RNA-seq Data Files From NCI (Bethesda, MD) and EBI
(Hinxton, UK) Through SDX Switch/Routers to The University of
Chicago.
• Analysis By Comparison To Known Data Correlated To Drug
Response.
• Determine Possible Actionable Therapeutic Options.
• Return Viable Treatment Options To the Originating Site.
18. 18 Beyond Today’s Internet • March 25, 2015
Genomic Data Commons Data Transfer
23. 23 Beyond Today’s Internet • March 25, 2015
Results
• Precision medicine requires data commons that scale to hundreds of
petabytes scale, with programmable networks and data peering to
support data sharing.
• Speed discovery and support analytics-driven healthcare to
recommend treatment.
• Large Scale Data Analysis and Dynamic Pipelines For Workflows Are
Essential For Determining Optimal Results.
24. 24 Beyond Today’s Internet • March 25, 2015
Summary and Future
• What you saw: An innovative approach to advanced knowledge discovery and medical
treatment: Precision medicine being supported by precision networking
• Why GENI/US Ignite is important: Precision mapping of communication services to BI
workflow requirements across the world using advanced analytics, the Genomics Data
Commons & a programmable dynamic SDX
• What happens looking forward, for the application and its integration with GENI:
• A) Further development/refinement of basic capabilities
• B) Transition to actual production services
• C) The Genomics Data Commons and Bionimbus Protected Data Cloud is Being
Developed As a Key Production Knowledge Discovery/Transformational Medical
Treatment Facility
25. 25 Beyond Today’s Internet • March 25, 2015
Using GENI To Invent the Future…
Thank You!
EBI