This document discusses how bioprocessing companies have leveraged information technology (IT) solutions to help bring new therapies to market, but that maintaining complex IT infrastructure can become costly and inefficient. It argues that organizations need an enterprise-level informatics platform that integrates diverse data sources and systems to extract maximum value from research and development (R&D) data without overspending on IT. The document provides an example of how one pharmaceutical company benefited from a more holistic and integrated informatics approach based on the Accelrys Pipeline Pilot platform.
Analytic Platforms in the Real World with 451Research and Calpont_July 2012Calpont Corporation
Matt Aslett, 451 Research, and Bob Wilkinson, VP Engineering for Calpont, discuss the emergence of the analytic platform, its place the new ecosystem for Big Data, considerations for selection, and applied use cases of Calpont’s analytic platform, InfiniDB, in Telco and Mobile Advertising.
Analytic Platforms in the Real World with 451Research and Calpont_July 2012Calpont Corporation
Matt Aslett, 451 Research, and Bob Wilkinson, VP Engineering for Calpont, discuss the emergence of the analytic platform, its place the new ecosystem for Big Data, considerations for selection, and applied use cases of Calpont’s analytic platform, InfiniDB, in Telco and Mobile Advertising.
Educating a New Breed of Data Scientists for Scientific Data Management Jian Qin
This presentation reports the data science curriculum development and implementation at Syracuse iSchool, which has shaped by the fast changing data-intensive environment not only for science but also for business and research at large.
In this research brief, we talk about the role of machine learning and artificial intelligence in Observability. The market is still in early stages and we expect mainstream adoption in the next 2-3 years. It is time for Modern IT Operations/SRE/DevOps teams to understand how Observability is different from traditional marketing and how it can help run resilient services with cloud native architectures.
Decision Support Systems (DSS) are evolving to become Learning Support Systems (LSS), in this presentation I share my views on this topic and an approach on how the current DSS can be re-purposed by implementing a technology-agnostic, yet adaptable Knowledge Engineering Value Chain (KEVC).
To architect or engineer? Lessons from DataPool on building RDM repositoriesjiscdatapool
There cannot be many mature products where development meetings have not been interrupted with a rueful declaration that to make further progress “you wouldn’t start from here”. This encapsulates one key difference between the architect and engineer, the latter prepared to work with the set of tools provided, the other preferring to start with a blank sheet of paper or an open space. In building research data repositories using two different softwares, Microsoft Sharepoint and EPrints, the DataPool Project is working somewhere between these extremes. Which approach will prove to be the more resilient for research data management (RDM)? In this talk we will look at the relevant factors.
CHALLENGES FOR MANAGING COMPLEX APPLICATION PORTFOLIOS: A CASE STUDY OF SOUTH...IJMIT JOURNAL
This research explores the challenges in management and the root cause for complex application portfolios
in the public sector. It takes Australian public sector organisations with the case of South Australia Police
(SAPOL) for evaluation it being one of the significant and mission critical state government agencies. The
exploratory research surfaces some of the key challenges using interview as primary data collection
source, along with archive records, documentation, and direct observation as secondary sources. This
paper reports on the information analysed surfacing eight key issues. It highlights that the organic growth
of the technology portfolios, with mission criticality has resulted in many quick fixes which are not aligned
with long term enterprise architectural stability. Integration of different mismatched technologies, along
with the pressure from the business to always keep the lights on, does not provide the opportunity for the
portfolios to be rationalised in an ongoing way. Other issues and the areas for further study are explored
at the end.
Article on the use of tools to enable better identification and assessment of technology trends, threats and opportunities, otherwise known as technology intelligence.
Developing an Sustainable IT Capability: Lessons From Intel's JourneyEdward Curry
Intel Corporation set itself a goal to reduce its global-warming greenhouse gas footprint by 20% by 2012 from 2007 levels. Through the use of sustainable IT, the Intel IT organization is recognized as a significant contributor to the company’s sustainability strategy by transforming its IT operations and overall Intel operations. This article describes how Intel has achieved IT sustainability benefits thus far by developing four key capabilities. These capabilities have been incorporated into the Sustainable ICT Capability Maturity Framework (SICT-CMF), a model developed by an industry consortium in which the authors were key participants. The article ends with lessons learned from Intel’s experiences that can be applied by business and IT executives in other enterprises.
Prof. Gregoris Mentzas, Director, Information Management Unit
(National Technical University of Athens) presented "Towards Proactive Enterprise Intelligence" (FInES Workshop at Aalborg)
Enterprise Search White Paper: Beyond the Enterprise Data Warehouse - The Eme...Findwise
This white paper elaborates the role of the enterprise search technology as an intelligent retrieval platform for structured data, a role traditionally held by the Relational Database Management Systems (RDBMS). Furthermore it investigates the great possibility by enterprise search solutions to derive insights and patterns by also analyzing the unstructured data, which is not possible to do with traditional data warehouse systems based on RDBMS.
Cloud ERP Security: Guidelines for evaluationNazli Sahin
The research aims to be a guideline for companies that are considering replacing or moving their Enterprise Resource Planning (ERP) System with a cloud solution. I investigated the potential security vulnerabilities that arise due to deployment to a cloud environment by literature research and conducting face to face interviews with company representatives. The research discusses findings under the aspects of data security, authentication & authorization, architecture, implementation of ERP and compliance.
Big Data Beyond Hadoop*: Research Directions for the FutureOdinot Stanislas
Michael Wrinn
Research Program Director, University Research Office,
Intel Corporation
Jason Dai
Engineering Director and Principal Engineer,
Intel Corporation
Quicker Insights and Sustainable Business Agility Powered By Data Virtualizat...Denodo
Watch full webinar here: https://bit.ly/3xj6fnm
Presented at Chief Data Officer Live 2021 A/NZ
The world is changing faster than ever. And for companies to compete and succeed they need to be agile in order to respond quickly to market changes and emerging opportunities. Data plays an integral role in achieving this business agility. However, given the complex nature of the enterprise data architecture finding and analysing data is an increasingly challenging task. Data virtualization is a modern data integration technique that integrates data in real-time, without having to physically replicate it.
Watch on-demand this session to understand what data virtualization is and how it:
- Delivers data in real-time, and without replication
- Creates a logical architecture to provide a single view of truth
- Centralises the data governance and security framework
- Democratises data for faster decision making and business agility
Educating a New Breed of Data Scientists for Scientific Data Management Jian Qin
This presentation reports the data science curriculum development and implementation at Syracuse iSchool, which has shaped by the fast changing data-intensive environment not only for science but also for business and research at large.
In this research brief, we talk about the role of machine learning and artificial intelligence in Observability. The market is still in early stages and we expect mainstream adoption in the next 2-3 years. It is time for Modern IT Operations/SRE/DevOps teams to understand how Observability is different from traditional marketing and how it can help run resilient services with cloud native architectures.
Decision Support Systems (DSS) are evolving to become Learning Support Systems (LSS), in this presentation I share my views on this topic and an approach on how the current DSS can be re-purposed by implementing a technology-agnostic, yet adaptable Knowledge Engineering Value Chain (KEVC).
To architect or engineer? Lessons from DataPool on building RDM repositoriesjiscdatapool
There cannot be many mature products where development meetings have not been interrupted with a rueful declaration that to make further progress “you wouldn’t start from here”. This encapsulates one key difference between the architect and engineer, the latter prepared to work with the set of tools provided, the other preferring to start with a blank sheet of paper or an open space. In building research data repositories using two different softwares, Microsoft Sharepoint and EPrints, the DataPool Project is working somewhere between these extremes. Which approach will prove to be the more resilient for research data management (RDM)? In this talk we will look at the relevant factors.
CHALLENGES FOR MANAGING COMPLEX APPLICATION PORTFOLIOS: A CASE STUDY OF SOUTH...IJMIT JOURNAL
This research explores the challenges in management and the root cause for complex application portfolios
in the public sector. It takes Australian public sector organisations with the case of South Australia Police
(SAPOL) for evaluation it being one of the significant and mission critical state government agencies. The
exploratory research surfaces some of the key challenges using interview as primary data collection
source, along with archive records, documentation, and direct observation as secondary sources. This
paper reports on the information analysed surfacing eight key issues. It highlights that the organic growth
of the technology portfolios, with mission criticality has resulted in many quick fixes which are not aligned
with long term enterprise architectural stability. Integration of different mismatched technologies, along
with the pressure from the business to always keep the lights on, does not provide the opportunity for the
portfolios to be rationalised in an ongoing way. Other issues and the areas for further study are explored
at the end.
Article on the use of tools to enable better identification and assessment of technology trends, threats and opportunities, otherwise known as technology intelligence.
Developing an Sustainable IT Capability: Lessons From Intel's JourneyEdward Curry
Intel Corporation set itself a goal to reduce its global-warming greenhouse gas footprint by 20% by 2012 from 2007 levels. Through the use of sustainable IT, the Intel IT organization is recognized as a significant contributor to the company’s sustainability strategy by transforming its IT operations and overall Intel operations. This article describes how Intel has achieved IT sustainability benefits thus far by developing four key capabilities. These capabilities have been incorporated into the Sustainable ICT Capability Maturity Framework (SICT-CMF), a model developed by an industry consortium in which the authors were key participants. The article ends with lessons learned from Intel’s experiences that can be applied by business and IT executives in other enterprises.
Prof. Gregoris Mentzas, Director, Information Management Unit
(National Technical University of Athens) presented "Towards Proactive Enterprise Intelligence" (FInES Workshop at Aalborg)
Enterprise Search White Paper: Beyond the Enterprise Data Warehouse - The Eme...Findwise
This white paper elaborates the role of the enterprise search technology as an intelligent retrieval platform for structured data, a role traditionally held by the Relational Database Management Systems (RDBMS). Furthermore it investigates the great possibility by enterprise search solutions to derive insights and patterns by also analyzing the unstructured data, which is not possible to do with traditional data warehouse systems based on RDBMS.
Cloud ERP Security: Guidelines for evaluationNazli Sahin
The research aims to be a guideline for companies that are considering replacing or moving their Enterprise Resource Planning (ERP) System with a cloud solution. I investigated the potential security vulnerabilities that arise due to deployment to a cloud environment by literature research and conducting face to face interviews with company representatives. The research discusses findings under the aspects of data security, authentication & authorization, architecture, implementation of ERP and compliance.
Big Data Beyond Hadoop*: Research Directions for the FutureOdinot Stanislas
Michael Wrinn
Research Program Director, University Research Office,
Intel Corporation
Jason Dai
Engineering Director and Principal Engineer,
Intel Corporation
Quicker Insights and Sustainable Business Agility Powered By Data Virtualizat...Denodo
Watch full webinar here: https://bit.ly/3xj6fnm
Presented at Chief Data Officer Live 2021 A/NZ
The world is changing faster than ever. And for companies to compete and succeed they need to be agile in order to respond quickly to market changes and emerging opportunities. Data plays an integral role in achieving this business agility. However, given the complex nature of the enterprise data architecture finding and analysing data is an increasingly challenging task. Data virtualization is a modern data integration technique that integrates data in real-time, without having to physically replicate it.
Watch on-demand this session to understand what data virtualization is and how it:
- Delivers data in real-time, and without replication
- Creates a logical architecture to provide a single view of truth
- Centralises the data governance and security framework
- Democratises data for faster decision making and business agility
Left Brain, Right Brain: How to Unify Enterprise AnalyticsInside Analysis
The Briefing Room with Robin Bloor and Teradata
Live Webcast on Jan. 29, 2013
Despite its name, effective Data Science requires a certain amount of artistic flair. Analysts must be creative about how and where they find the insights that will drive business value. One classic roadblock to that kind of frictionless process? Programming. Not everyone can code Java, which makes the unstructured domain of Hadoop quite challenging for the average business analyst.
Check out the slides from this episode of the Briefing Room to hear veteran Analyst Dr. Robin Bloor explain how a new generation of analytical platforms will solve the complexity of unifying structured and unstructured data. He'll be briefed by Steve Wooledge of Teradata Aster who will tout his company's Big Data Appliance, which leverages the SQL-H bridge, an innovation designed to connect Hadoop with SQL.
Visit: http://www.insideanalysis.com
How Data Virtualization Puts Machine Learning into Production (APAC)Denodo
Watch full webinar here: https://bit.ly/3mJJ4w9
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spend most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Attend this session to learn how companies can use data virtualization to:
- Create a logical architecture to make all enterprise data available for advanced analytics exercise
- Accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
- Integrate popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc
Becoming an analytics-driven organization helps companies reduce costs, increase
revenues and improve competitiveness, and this is why business intelligence and
analytics continue to be a top priority for CIOs. Many business decisions, however,
are still not based on analytics, and CIOs are looking for ways to reduce time to value
for deploying business intelligence solutions so that they can expand the use of
analytics to a larger audience of users.
Companies are also interested in leveraging the value of information in so-called big
data systems that handle data ranging from high-volume event data to social media
textual data. This information is largely untapped by existing business intelligence
systems, but organizations are beginning to recognize the value of extending the
business intelligence and data warehousing environment to integrate, manage, govern
and analyze this information.
This article useful for anyone who want to introduce with Big Data and how oracle architecture Big Data solution using Oracle Big Data Cloud solutions .
The Evolving Role of the Data Engineer - Whitepaper | QuboleVasu S
A whitepaper about how the evolving data engineering profession helps data-driven companies work smarter and lower cloud costs with Qubole.
https://www.qubole.com/resources/white-papers/the-evolving-role-of-the-data-engineer
AIOps: Anomalous Span Detection in Distributed Traces Using Deep LearningJorge Cardoso
The field of AIOps, also known as Artificial Intelligence for IT Operations, uses algorithms and machine learning to dramatically improve the monitoring, operation, and maintenance of distributed systems. Its main premise is that operations can be automated using monitoring data to reduce the workload of operators (e.g., SREs or production engineers). Our current research explores how AIOps – and many related fields such as deep learning, machine learning, distributed traces, graph analysis, time-series analysis, sequence analysis, and log analysis – can be explored to effectively detect, localize, and remediate failures in large-scale cloud infrastructures (>50 regions and AZs). In particular, this lecture will describe how a particular monitoring data structure, called distributed trace, can be analyzed using deep learning to identify anomalies in its spans. This capability empowers operators to quickly identify which components of a distributed system are faulty.
How Data Virtualization Puts Enterprise Machine Learning Programs into Produc...Denodo
Watch full webinar here: https://bit.ly/3offv7G
Presented at AI Live APAC
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spend most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Watch this on-demand session to learn how companies can use data virtualization to:
- Create a logical architecture to make all enterprise data available for advanced analytics exercise
- Accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
- Integrate popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc.
Streamline Data Governance with Egeria: The Industry's First Open Metadata St...DataWorks Summit
Learn about the industry's new open metadata standard Egeria, introduced in September by ODPi, The Linux Foundation’s Open Data Platform initiative. Egeria supports the free flow of standardized metadata between different technologies and vendor platforms, enabling organizations to locate, manage and use their data resources more effectively. Explore how Egeria's set of open APIs, types and interchange protocols to allow all metadata repositories to share and exchange metadata. From this common base, it adds governance, discovery and access frameworks for automating the collection, management and use of metadata across an enterprise. The result is an enterprise catalog of data resources that are transparently assessed, governed and used in order to deliver maximum value to the enterprise.
This presentation by ODPi Director John Mertic provides an introduction to Egeria, and explores how the standard provides a vendor-neutral approach to data governance. Learn how a group of companies led by ING, IBM and Hortonworks came together through the open source community to re-imagining data governance and delivered Egeria -- to automate the collection, management and use of metadata across organizations of any size and complexity. Learn how Egeria was built on open standards and delivered via Apache 2.0 open source license.
TAKE A LOOK AT THE TOP 7 SKILLS THAT A DATA ENGINEER CERTAINLY HAS TO HAVEEmilySmith271958
These days, everyone aspires to have a career in data science. What about those who work as data engineers? The reality of the matter is that a Data Scientist is only as good as the quality of the data they are given to work with.
Top 10 guidelines for deploying modern data architecture for the data driven ...LindaWatson19
Enterprises are facing a new revolution, powered by the rapid adoption of data analytics with modern technologies like machine learning and artificial intelligence (A).
Advanced Analytics and Machine Learning with Data Virtualization (India)Denodo
Watch full webinar here: https://bit.ly/3dMN503
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python, and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spend most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Watch this session to learn how companies can use data virtualization to:
- Create a logical architecture to make all enterprise data available for advanced analytics exercise
- Accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
- Integrate popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc
Similar to Informatics technologies in an evolving r & d landscape (20)
Lung Cancer: Artificial Intelligence, Synergetics, Complex System Analysis, S...Oleg Kshivets
RESULTS: Overall life span (LS) was 2252.1±1742.5 days and cumulative 5-year survival (5YS) reached 73.2%, 10 years – 64.8%, 20 years – 42.5%. 513 LCP lived more than 5 years (LS=3124.6±1525.6 days), 148 LCP – more than 10 years (LS=5054.4±1504.1 days).199 LCP died because of LC (LS=562.7±374.5 days). 5YS of LCP after bi/lobectomies was significantly superior in comparison with LCP after pneumonectomies (78.1% vs.63.7%, P=0.00001 by log-rank test). AT significantly improved 5YS (66.3% vs. 34.8%) (P=0.00000 by log-rank test) only for LCP with N1-2. Cox modeling displayed that 5YS of LCP significantly depended on: phase transition (PT) early-invasive LC in terms of synergetics, PT N0—N12, cell ratio factors (ratio between cancer cells- CC and blood cells subpopulations), G1-3, histology, glucose, AT, blood cell circuit, prothrombin index, heparin tolerance, recalcification time (P=0.000-0.038). Neural networks, genetic algorithm selection and bootstrap simulation revealed relationships between 5YS and PT early-invasive LC (rank=1), PT N0—N12 (rank=2), thrombocytes/CC (3), erythrocytes/CC (4), eosinophils/CC (5), healthy cells/CC (6), lymphocytes/CC (7), segmented neutrophils/CC (8), stick neutrophils/CC (9), monocytes/CC (10); leucocytes/CC (11). Correct prediction of 5YS was 100% by neural networks computing (area under ROC curve=1.0; error=0.0).
CONCLUSIONS: 5YS of LCP after radical procedures significantly depended on: 1) PT early-invasive cancer; 2) PT N0--N12; 3) cell ratio factors; 4) blood cell circuit; 5) biochemical factors; 6) hemostasis system; 7) AT; 8) LC characteristics; 9) LC cell dynamics; 10) surgery type: lobectomy/pneumonectomy; 11) anthropometric data. Optimal diagnosis and treatment strategies for LC are: 1) screening and early detection of LC; 2) availability of experienced thoracic surgeons because of complexity of radical procedures; 3) aggressive en block surgery and adequate lymph node dissection for completeness; 4) precise prediction; 5) adjuvant chemoimmunoradiotherapy for LCP with unfavorable prognosis.
Flu Vaccine Alert in Bangalore Karnatakaaddon Scans
As flu season approaches, health officials in Bangalore, Karnataka, are urging residents to get their flu vaccinations. The seasonal flu, while common, can lead to severe health complications, particularly for vulnerable populations such as young children, the elderly, and those with underlying health conditions.
Dr. Vidisha Kumari, a leading epidemiologist in Bangalore, emphasizes the importance of getting vaccinated. "The flu vaccine is our best defense against the influenza virus. It not only protects individuals but also helps prevent the spread of the virus in our communities," he says.
This year, the flu season is expected to coincide with a potential increase in other respiratory illnesses. The Karnataka Health Department has launched an awareness campaign highlighting the significance of flu vaccinations. They have set up multiple vaccination centers across Bangalore, making it convenient for residents to receive their shots.
To encourage widespread vaccination, the government is also collaborating with local schools, workplaces, and community centers to facilitate vaccination drives. Special attention is being given to ensuring that the vaccine is accessible to all, including marginalized communities who may have limited access to healthcare.
Residents are reminded that the flu vaccine is safe and effective. Common side effects are mild and may include soreness at the injection site, mild fever, or muscle aches. These side effects are generally short-lived and far less severe than the flu itself.
Healthcare providers are also stressing the importance of continuing COVID-19 precautions. Wearing masks, practicing good hand hygiene, and maintaining social distancing are still crucial, especially in crowded places.
Protect yourself and your loved ones by getting vaccinated. Together, we can help keep Bangalore healthy and safe this flu season. For more information on vaccination centers and schedules, residents can visit the Karnataka Health Department’s official website or follow their social media pages.
Stay informed, stay safe, and get your flu shot today!
Prix Galien International 2024 Forum ProgramLevi Shapiro
June 20, 2024, Prix Galien International and Jerusalem Ethics Forum in ROME. Detailed agenda including panels:
- ADVANCES IN CARDIOLOGY: A NEW PARADIGM IS COMING
- WOMEN’S HEALTH: FERTILITY PRESERVATION
- WHAT’S NEW IN THE TREATMENT OF INFECTIOUS,
ONCOLOGICAL AND INFLAMMATORY SKIN DISEASES?
- ARTIFICIAL INTELLIGENCE AND ETHICS
- GENE THERAPY
- BEYOND BORDERS: GLOBAL INITIATIVES FOR DEMOCRATIZING LIFE SCIENCE TECHNOLOGIES AND PROMOTING ACCESS TO HEALTHCARE
- ETHICAL CHALLENGES IN LIFE SCIENCES
- Prix Galien International Awards Ceremony
micro teaching on communication m.sc nursing.pdfAnurag Sharma
Microteaching is a unique model of practice teaching. It is a viable instrument for the. desired change in the teaching behavior or the behavior potential which, in specified types of real. classroom situations, tends to facilitate the achievement of specified types of objectives.
- Video recording of this lecture in English language: https://youtu.be/lK81BzxMqdo
- Video recording of this lecture in Arabic language: https://youtu.be/Ve4P0COk9OI
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html
HOT NEW PRODUCT! BIG SALES FAST SHIPPING NOW FROM CHINA!! EU KU DB BK substit...GL Anaacs
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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.
Explore natural remedies for syphilis treatment in Singapore. Discover alternative therapies, herbal remedies, and lifestyle changes that may complement conventional treatments. Learn about holistic approaches to managing syphilis symptoms and supporting overall health.
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
Tom Selleck Health: A Comprehensive Look at the Iconic Actor’s Wellness Journeygreendigital
Tom Selleck, an enduring figure in Hollywood. has captivated audiences for decades with his rugged charm, iconic moustache. and memorable roles in television and film. From his breakout role as Thomas Magnum in Magnum P.I. to his current portrayal of Frank Reagan in Blue Bloods. Selleck's career has spanned over 50 years. But beyond his professional achievements. fans have often been curious about Tom Selleck Health. especially as he has aged in the public eye.
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Introduction
Many have been interested in Tom Selleck health. not only because of his enduring presence on screen but also because of the challenges. and lifestyle choices he has faced and made over the years. This article delves into the various aspects of Tom Selleck health. exploring his fitness regimen, diet, mental health. and the challenges he has encountered as he ages. We'll look at how he maintains his well-being. the health issues he has faced, and his approach to ageing .
Early Life and Career
Childhood and Athletic Beginnings
Tom Selleck was born on January 29, 1945, in Detroit, Michigan, and grew up in Sherman Oaks, California. From an early age, he was involved in sports, particularly basketball. which played a significant role in his physical development. His athletic pursuits continued into college. where he attended the University of Southern California (USC) on a basketball scholarship. This early involvement in sports laid a strong foundation for his physical health and disciplined lifestyle.
Transition to Acting
Selleck's transition from an athlete to an actor came with its physical demands. His first significant role in "Magnum P.I." required him to perform various stunts and maintain a fit appearance. This role, which he played from 1980 to 1988. necessitated a rigorous fitness routine to meet the show's demands. setting the stage for his long-term commitment to health and wellness.
Fitness Regimen
Workout Routine
Tom Selleck health and fitness regimen has evolved. adapting to his changing roles and age. During his "Magnum, P.I." days. Selleck's workouts were intense and focused on building and maintaining muscle mass. His routine included weightlifting, cardiovascular exercises. and specific training for the stunts he performed on the show.
Selleck adjusted his fitness routine as he aged to suit his body's needs. Today, his workouts focus on maintaining flexibility, strength, and cardiovascular health. He incorporates low-impact exercises such as swimming, walking, and light weightlifting. This balanced approach helps him stay fit without putting undue strain on his joints and muscles.
Importance of Flexibility and Mobility
In recent years, Selleck has emphasized the importance of flexibility and mobility in his fitness regimen. Understanding the natural decline in muscle mass and joint flexibility with age. he includes stretching and yoga in his routine. These practices help prevent injuries, improve posture, and maintain mobilit
Acute scrotum is a general term referring to an emergency condition affecting the contents or the wall of the scrotum.
There are a number of conditions that present acutely, predominantly with pain and/or swelling
A careful and detailed history and examination, and in some cases, investigations allow differentiation between these diagnoses. A prompt diagnosis is essential as the patient may require urgent surgical intervention
Testicular torsion refers to twisting of the spermatic cord, causing ischaemia of the testicle.
Testicular torsion results from inadequate fixation of the testis to the tunica vaginalis producing ischemia from reduced arterial inflow and venous outflow obstruction.
The prevalence of testicular torsion in adult patients hospitalized with acute scrotal pain is approximately 25 to 50 percent
Pulmonary Thromboembolism - etilogy, types, medical- Surgical and nursing man...VarunMahajani
Disruption of blood supply to lung alveoli due to blockage of one or more pulmonary blood vessels is called as Pulmonary thromboembolism. In this presentation we will discuss its causes, types and its management in depth.
ARTIFICIAL INTELLIGENCE IN HEALTHCARE.pdfAnujkumaranit
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. It encompasses tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI technologies are revolutionizing various fields, from healthcare to finance, by enabling machines to perform tasks that typically require human intelligence.
Informatics technologies in an evolving r & d landscape
1. V E N D O R Voice
Informatics Technologies in
an Evolving R&D Landscape
Frank Brown and Matt Hahn
O
ver the years, bioprocessing
companies have leveraged a
host of information technology
(IT) to help them bring
innovative new therapies to market. As the
needs of a research and development (R&D)
enterprise evolve, however, are such
systems and applications a help or a
hindrance? On one hand, the increasing
sophistication of IT solutions — such as
those designed to help users create
advanced molecular models or track
thousands of compounds through the www.photoscom
discovery process — have enabled new
levels of R&D innovation. On the other hand,
at some point the law of diminishing returns has been useful in life-cycle management deploying unified processes is an
kicks in as more resources and budgets solutions such as product life-cycle integration and maintenance nightmare.
become devoted to maintaining IT management (PLM) and enterprise resource Valuable information can easily become lost
infrastructure (e.g., integrating information planning (ERP) to drive greater efficiencies inside “siloed” systems, equipment, and
from different systems and databases and and collaboration, process automation, and databases. Moreover, manual information
training people to use multiple improved information governance. management can be time-consuming, error
applications). Although optimizing the innovation life prone, and expensive.
Ultimately, organizations focused on cycle may be similar in principle to PLM and Enterprise-level informatics platforms
developing new therapies need to be able ERP, the unique requirements of the R&D facilitate data integration, process
to extract maximum value from their R&D function — including highly scientific data automation, and information sharing
data without overspending on informatics — makes the optimization process very required for R&D activities such as
infrastructure that’s too cumbersome and different in practice. Companies will need to compound management and modeling
inefficient. It’s at this point that R&D decide on the best approach. and simulation. It is vital that a platform be
organizations can learn much from IT able to handle sources and types of R&D
experiences in manufacturing and supply Reducing the Complexity data. Some PLM and ERP systems offer
chain operations. In such environments, IT and Cost of Informatics structured row- and column-based data.
In today’s global and data-intensive R&D Other systems include unstructured
Product Focus: All biologicals environment, IT infrastructure has become information such as scientific text and two-
extraordinarily complex. Modern R&D and three-dimensional models. Any solution
Process Focus: Production, enterprises now span multiple locations and should be able to capture and integrate
research and development areas of specialization, with numerous data, run processes across it, and report
Who Should R ead: Information departments, disciplinary groups, and even results in a way that makes sense for
technology, executive individual scientists using sophisticated IT multiple users from different departments.
management, process engineers systems, applications, and other informatics Service-oriented architecture, cloud
tools. Consequently, when it comes time to computing, and Web services have made
K eywords: Process optimization, streamline R&D from discovery to clinical those solutions possible. Web services can,
data managment trials and scale up, the resulting “patchwork for example, support plug-and-play
Level: Intermediate quilt” that springs out from sharing data or integration of multiple data types and
64 BioProcess International 10(6) J une 2012
2. Figure 1: Use of query services to federate data from multiple systems and create a project “data
mart” that aggregates essential data for a team to make decisions; this data mart is then carried out Chemists can work more closely with
for analysis and reporting. IT sets up the query services to build the data mart, then scientists can sourcing experts to ensure that compounds
build their own reports and perform their own analysis without a large IT presence. in development are viable candidates for
large-scale production.
External
Public Literature, Patents In addition, processes that were
Data Competitive Intel
previously disjointed (because critical data
Office, SharePoint
Experimental Unified Registration, were locked within isolated databases and
Data LEA, LIMS,
Repositories ELN — Experiments proprietary systems) can be streamlined
Accelrys
Inventory, Summary Query and automated. Because information access
Legacy Project Web
Data Warehouse, Services is available, “nonexperts” also can take
Corporate
Data Team Data Marts
Data
Mart better advantage of sophisticated R&D
Molecular and Biologics
Simulations Design, ADMET Isentris
knowledge (e.g., predictive modeling and
Data Formulations Design analytics) that they may have been unable
Unstructured Documents, to use before without expert help.
Reports
Data Registration Moreover, R&D technologies leveraged
throughout an organization are much easier
and less costly for IT to manage and
formats without requiring customized (and A holistic informatics infrastructure that maintain because manual, hand-coded
expensive) IT intervention. Moreover, encompasses the needs of an entire R&D integration is no longer required. The result
processes such as analysis and reporting enterprise offers time, cost, and efficiency is that more resources can be devoted to
steps can be broken into “parts” that can be benefits. Regardless of where or how high-value information analysis and less on
put together in different ways depending information is generated, it can be used by the “care and feeding” of IT infrastructure.
on a person’s specific requirements. numerous contributors across the
Because those parts can function innovation life cycle, enhancing Enterprise Informatics
independently from their source system or collaboration and speeding cycle times. in Action
application, they can be used to create Toxicologists can make their history of assay Accelrys has developed an enterprise R&D
automated workflows that cross results available to chemists investigating architecture built on the open services-
departmental or disciplinary boundaries. new lead compounds, for example. based Pipeline Pilot informatics platform to
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3. address challenges of infrastructure for registering, searching, mining, and medicinal chemistry design cycle and used
complexity, data overload, and disjointed analyzing information about chemical Accelrys technology to power an
processes. Rather than trapping information structures and reactions, chemically underlying informatics foundation. The
in “silos,” the platform enables integration modified sequences, biological entities goal was to decrease the time required to
of diverse systems, applications, and data and associated data such as inventory, capture, manage, integrate, and analyze
sources. It supports a collection of tools for assay, and experimental results. Users data related to both real compounds that
manipulating and analyzing complex have real-time access to pertinent had already been synthesized, as well as
information, including advanced chemistry, chemical and biological information and information connected to design
biology, and materials science. The end-to- an integrated environment for data hypotheses associated with virtual
end, enterprise-level approach analysis and reporting, with reduced IT compounds. The organization also sought
• enables scientists, engineers, and other overhead and management of multiple to improve collaboration and decision-
R&D project stakeholders to easily access, vendor relationships. The solution can making through automated project
analyze, report, and share data across serve as a solid infrastructure foundation workflows and communication spanning
departments and disciplines that companies can build on over time. A hypotheses creation and compound
• frees IT from manually supporting company’s IT staff can take a brick-by- design, on through to synthesis, testing,
varied requirements of multiple information brick approach to addressing informatics analysis and further design.
consumers demands, plugging new tools into the Accelrys’ Pipeline Pilot platform was
• allows an organization to extract framework as needed. The enterprise used to automate the extraction,
maximum value from the many sources of scale of the platform lowers the transformation, and loading of data from
innovation knowledge, both internal (e.g., complexity of IT architecture to ease multiple sources into project-specific data
data from experiments, modeling, and overall total cost of ownership, planning, marts that can then be leveraged for “one
simulation) and external (e.g., publicly and investment decisions. stop shopping” analysis and decision-
available databases or published literature). Example: One leading global making. The types of data were varied and
The Cheminformatics suite is a key pharmaceutical research company has included primary asset data, in vitro
component of the enterprise R&D benefited from more holistic and absorption, distribution, metabolism,
architecture and a first step toward integrated informatics (1). The organization excretion, and toxicity (ADMET) data,
innovation life-cycle management. It wanted to unify data analysis and precalculated molecular property data, in
provides end users with a unified solution collaboration activities throughout its vivo ADME endpoint data, compound
BioProcess
TM
I N T E R N A T I O N A L
POSTER HALL 2011-2012
2102-1102 LLAH RETSOP
2102-1102 LLAH RETSOP
A CompilAtion of proCess teChnologies And expertise presented in poster formAt
AvAilAble At: www.bioprocessintl.com/posters
4. registration information, and in silico stakeholders are more likely to be project participants both inside and
model calculations for both real and communicating across time zones and outside their organizational boundaries.
virtual compounds. In addition to data continents than across a conference table or Here again, the principles of life-cycle
integration, automated protocols were laboratory bench. Increasingly, project management apply. Software solutions for
also used to facilitate analysis, register participants no longer all work under the PLM, ERP, and supply-chain management
new molecules, and determine compound same corporate umbrella. (SCM) are all about driving efficiencies and
uniqueness. Biopharmaceutical development can bringing governance to complex networks
In this particular case, the underlying involve a host of contributors, including big involving numerous moving parts and
platform interoperated with several diverse brand names, smaller specialized participants. There are some key practical
third-party and legacy systems that project companies, academic institutions, and differences between these solutions and
teams used throughout the discovery government entities. the needs of R&D, however. Innovation is
process for analysis and reporting. However, This is the realization of a concept not like a just-in-time supply chain. It
the evolution of the enterprise R&D known as open innovation. Instead of doing depends on free-form interactions, includes
architecture, including the release of the everything in-house, organizations are processes that are constantly evolving, and
latest version of the Cheminformatics suite, looking for ways to expand the scope, resists too much structure.
enables users to take advantage of a host of accelerate the speed, and increase the That’s why smaller organizations are
built-in analysis, modeling, and reporting quality of their efforts by collaborating often hotbeds of creativity and innovation.
tools. This doesn’t preclude IT from also more extensively with external partners It’s easy for stakeholders to kick ideas
plugging in other applications and systems, and sharing knowledge and expertise for around at a company lunch table or visit a
but it does help the company move closer their mutual benefit. For example, scientists colleague across the hall. But when the
to a single vendor and R&D architecture in far-flung locations, niche experts, or project manager is in Boston, the lead
that is easy to maintain and manage. contract research providers who can more chemist works for contract research
inexpensively run assays or make organization in Beijing, and manufacturing
Facilitating compounds may all contribute to a single is set up in India, the level of fluid
“Open Innovation” project. To practice efficient and cost- communication and open dialogue
What happens when the innovation life effective open innovation, companies must required for open innovation is not so
cycle extends beyond a single organization? consider how best to leverage their simple. Today’s R&D organizations need,
In this era of globalization, R&D informatics infrastructure to accommodate therefore, to be able to recreate the open,
The Parenteral Drug Association presents the...
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Compliance through Quality Systems: Implementing Immediately
& Advancing a Sustainable Global Quality Culture following the conference
PDA will be hosting
September 10-12, 2012 | Baltimore Marriott Waterfront Hotel | Baltimore, Maryland the 2012 PDA ICH Q10
Workshop: Expectations
The 2012 PDA/FDA Joint Regulatory Conference offers the unique opportunity for you to join FDA of Operations & Executive
representatives and industry experts in face-to-face dialogues. Each year, FDA speakers provide Management on
updates on the current state of efforts impacting the development of global regulatory strategies; September 12-13,
while industry professionals from some of today’s leading pharmaceutical companies present case 2012.
studies on how they employ global strategies in their daily processes.
Topics include:
• Risk management and quality risk • Quality by design (QbD) • Innovation and collaboration with the goal
management systems • Science-based decision making of advancing the industry and impacting
• Quality systems • Design space public health on a global scale
Additionally, PDA’s Training and Research Institute (PDA TRI) will be hosting six stand alone training courses on-site on September 13-14.
Visit www.pda.org/pdafda2012 for more information and to register.
Exhibition: September 10-11 | Post-Conference Workshop: September 12-13 | Courses: September 13-14
5. collaborative atmosphere that existed when Cloud Collaboration consulted. The end result was a compound
project participants were in the same in Action that today shows great promise in
building, but on a scale that embraces the Cloud-based technologies are now making addressing a disease that hasn’t seen a new
breadth and complexity of a global market. open innovation among numerous partners treatment in decades.
The advent of cloud computing is a reality with minimal IT overhead and The case of the neglected diseases
facilitating global collaboration. By enabling effort. An excellent example is the use of technology deployment demonstrates that
organizations to run applications, platforms, the SCYNEXIS Hit Explorer Operating complex data can be stored securely and
even underlying IT infrastructure as a System (HEOS) software in conjunction with shared globally on a thin client. However,
service accessed through a Web browser, Accelrys’ Cheminformatics suite to the real takeaway is that improved global
this computing paradigm is fundamentally empower a variety of diverse contributors collaboration in cloud computing is
changing how data are stored, shared, and and sites working on the Drugs for powering the kind of open innovation that
managed. Many of us use cloud computing Neglected Diseases initiative (DNDi) (2). The represents the next evolution of R&D. In the
on a regular basis without even thinking HEOS system, supported by Enterprise R&D years ahead, the scope and scale of R&D
about it; e.g., when we check a Gmail architecture, is a cloud-based, software-as- enterprises are only going to get broader.
account, or share photos on a site such as a-service (SaaS) workspace that supports The organizations best equipped to
Flickr. Instead of installing another e-mail real-time data sharing among multiple succeed in this complex, global, and
application on our hard drive, we use organizations engaged in collaborative multilayered landscape will be those that,
Google’s; instead of copying photos to a drug discovery. like their counterparts in manufacturing,
disk and mailing them to friends and In the case of DNDi, the technology has start laying the groundwork for a more
relatives, we send a Web link. Apply this enabled some breakthroughs in the holistic, streamlined, flexible, and open
same concept to open innovation, and the research and development of better informatics infrastructure today. Cloud
cloud becomes an ideal forum for project treatments for underfunded yet devastating computing, service-oriented architecture,
stakeholders to interact and share ideas diseases such as malaria, Chagas, and Web services can facilitate
regardless of where they are located, the schistosomiasis, and African manipulation of highly scientific
organization they are with, or how much trypanosomiasis (sleeping sickness) that information and innovative life-cycle
data are involved. affect millions of people in the developing management that streamlines R&D. An
For example, suppose a pharmaceutical world. Using the HEOS and Accelrys ability to focus on high-value analysis and
company is working with a contract solutions, researchers from Brazil, the Ivory minimize resources that go into data
research organization on a drug discovery Coast, the Philippines, South Africa, integration and systems maintenance will
project. It could install its legacy IT systems Zimbabwe, and many other countries have ultimately enable faster and cheaper time-
at the outsourcer’s site to exchange and been able to come together in a vibrant to-innovation. And an ability to bring all
analyze data. But this is costly and highly virtual community to contribute their valued contributors to the table, whether
inefficient because systems must be insights and expertise to this important across the hall or on the other side of the
maintained both within the organization’s project. Regardless of their physical world, will drive more extraordinary and
internal IT infrastructure as well as at the location, disciplinary focus, experience, or groundbreaking discoveries.
CRO site. The redundancies multiply as cultural background, participants can
more departments, locations, and partners exchange and analyze complex biological References
that are included. By contrast, cloud and chemical data, assay results, 1 Brodney MD, et al. Project-Focused
computing is simple to access from computation and visual simulations, and Activity and Knowledge Tracker: A Unified Data
numerous global sites. It’s also infinitely more. The group as a whole can investigate Analysis, Collaboration, and Workflow Tool for
scalable, capable of accommodating more and test a wider diversity of compounds Medicinal Chemistry Project Teams. J. Chem. Inf.
data and more participants as a project’s and therapies, which can greatly speed R&D Model. 49(12) 2009: 2639–2649.
needs expand. The end result is less efforts. 2 Bost F, Jacobs RT, Kowalczyk P. Informatics
infrastructure and more analysis. One initiative spearheaded by DNDi for Neglected Diseases Collaborations. Drug
Cloud-based collaboration also can against an endemic disease ultimately Discovery Devel. 13, 2010: 286–296. •
support a more open and vibrant CRO included multiple levels of collaboration
market. When it’s easier to pass information between volunteers from large pharma and
Frank Brown, PhD, is executive director at
back and forth between partners, biotech companies, contract research Merck and former executive vice president and
organizations can quickly bring in CRO organizations, and academia. The biotech CSO and Accelrys. Corresponding author Matt
expertise needed for even a single screen or company that provided the initial Hahn, PhD, is senior vice president and CTO at
test. This is especially compelling for smaller compounds managed the initiative, tracked Accelrys; Matt.hahn@accerlrys.com.
biotech companies that can leverage the in vivo studies performed by a US university,
cloud to manage projects and optimize and brought on a CRO that would confirm
intellectual property without having to the most promising leads through high-
increase internal headcount for basic throughput testing. As the project
research and IT services. Thus, small continued, several ADME, safety, and
companies can compete more aggressively pharmacokinetic teams got involved, and
with bigger players. additional peer organizations were
J une 2012 10(6) BioProcess International 69