The Next Big Thing Is Cloud Gaming

Have you ever heard about cloud Gaming? Well, it is just in the starting stage of development. At present cloud applications into gaming are sparse. Major companies are planning to make major developments in it. In less span of time cloud is going to be the major platform for gaming applications.

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Relypsa

Relypsa is a biopharmaceutical company leading the discovery, development and commercialization of polymer-based medicines to treat conditions that are often overlooked and undertreated, but that can have a serious impact on patient lives or even be life-threatening.

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MedTech

5 Biotech Stocks Winning the Coronavirus Race

Article | July 20, 2022

There are quite a few companies that have found ways to grow their business during the ongoing COVID-19 pandemic. This is especially true for a number of biotechs now working on developing a potential treatment for, or vaccine against, the virus; shares of such companies have largely surged over the past couple of months. Although many of these treatments and vaccines are still have quite a way to go before they're widely available, it's still worth taking some time to look through what's going on in the COVID-19 space right now. Here are five biotech stocks that are leading the way when it comes to addressing COVID-19. Regeneron Pharmaceuticals (NASDAQ:REGN) wasn't among the initial wave of companies to announce a potential COVID-19 drug. However, investor excitement quickly sent shares surging when the company announced that its rheumatoid arthritis drug, Kevzara, could help treat COVID-19 patients.

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MedTech

2022 U.S. Market Research Report with COVID-19 Forecasts2

Article | September 22, 2022

The global biotechnology market is expected to grow at a compound annual growth rate (CAGR) of 13.9 percent from 2022 to 2030, with a value estimated at USD 1,023.92 billion in 2021. The market is being propelled by strong government support in the form of initiatives aimed at modernizing the regulatory framework, improving approval processes and reimbursement policies, and standardizing clinical studies. The growing presence of personalized medicine and an increasing number of orphan drug formulations are opening up new avenues for biotechnology applications and driving the influx of emerging and innovative biotechnology companies, which is driving market revenue even further. The 2022 Biotech Research and Development Market Research Report is one of the most comprehensive and in-depth assessments of the industry in the United States, containing over 100 data sets spanning the years 2013 to 2026. This Kentley Insights report contains historical and forecasted market size, product lines, profitability, financial ratios, BCG matrix, state statistics, operating expense details, organizational breakdown, consolidation analysis, employee productivity, price inflation, pay bands for the top 20 industry jobs, trend analysis and forecasts on companies, locations, employees, payroll, and much more. Companies in the Biotech Research and Development industry are primarily engaged in biotechnology research and experimental development. Biotechnology research and development entails the investigation of the use of microorganisms and cellular and bimolecular processes to create or modify living or non-living materials. This biotechnology research and development may result in the development of new biotechnology processes or prototypes of new or genetically altered products that can be replicated, used, or implemented by various industries. This report was created using the findings of extensive business surveys and econometrics. The professionals follow reports with accurate and apt information on market sizing, benchmarking, strategic planning, due diligence, cost-cutting, planning, understanding industry dynamics, forecasting, streamlining, gap analysis, and other ana

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MedTech

Data Analytics: A Groundbreaking Technology in Biotech

Article | October 7, 2022

Biotechnology is a vast discipline of biology that employs diverse biological systems to create solutions that can significantly alter the ways in which they operate across various domains. That said, biotechnology is not a new notion. It has existed for millennia, with ancient civilizations using its earliest incarnations to cultivate crops and create alcoholic beverages. Today, the biotechnology industry has developed by leaps and bounds and has amassed a vast quantity of scientific data through study and research. Given the importance of data in the biotechnology business, it is not difficult to understand why biotech companies utilize data analytics. Modern data analytics tools have made it possible for researchers in the biotech industry to build predictive analytics models and gain knowledge about the most efficient approaches to accomplish their desired goals and objectives. Data analytics is increasingly being adopted by biotech businesses to better understand their industry and foresee any problems down the road. How is Data Analytics Revolutionizing Fields in Biotechnology? Today's business and scientific fields greatly benefit from data. Without the analysis of vast information libraries that provide new insights and enable new innovations, no industry can really advance. Being highly reliant on big data analytics, biotech is not an exception in this regard. With the tools and methods that help scientists systematize their findings and speed up their research for better and safer results, data analytics is making deeper inroads into the biotechnology industry. It is emerging as a crucial link between knowledge and information and is extensively being used for purposes other than just examining the information that is already available. The following are a few of the cutting-edge biotechnology applications of data analytics Genomics and Disease Treatment Pharmaceutical Drug Discovery Drug Recycling and Safety Agriculture and Agri-products Environmental Damage Mitigation Data Analytics Possibilities in Biotechnology With data analytics becoming an integral part of how biotech businesses operate, biotechnologists and related stakeholders need to understand its emergence and crucial role. Data analytics has opened new frontiers in the realm of biotechnology. Thanks to developments in data analytics, research and development activities that once took years may now be accomplished in a matter of months. Also, now scientists have access to biological, social, and environmental insights that can be exploited to create more effective and sustainable products. By understanding the importance of data-related tools and techniques applications, biotech companies are aiming to invest in the popularizing technology to stay updated in the fast-paced biotechnology industry.

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Medical

Laboratory Information Management System for Biotech Labs: Significance & Benefits

Article | August 16, 2022

If you have ever visited the testing laboratory of a large biotechnology company, you will be aware that managing the laboratory's operations single-handedly is no easy task. The greater the size of a lab, the more research and testing activities it must accommodate. A variety of diagnostic tests are prescribed for patients in order to detect various diseases. For example, it may include blood glucose testing for diabetics, lipid panel, or liver panel tests for evaluating cardiac risk and liver function, cultures for diagnosing infections, thyroid function tests, and others. Laboratory management solutions such as laboratory information management systems (LIMS) and other software play a significant role in managing various operational data at biotech laboratories. It is one of the important types of software developed to address thedata management and regulatory challenges of laboratories. The software enhances the operational efficiency of biotech labs by streamlining workflows, proper record-keeping, and eradicating the need for manually maintaining data. What Are the Benefits of Laboratory Information Management Software in Biotechnology? As the trends of digitization and technology continue to create deeper inroads into the biotechnology sector, a significant rise in the adoption of innovative medical software solutions, such as LIMS, is being witnessed for managing research data, testing reports, and post-research results globally. Here are a few reasons that are encouraging biotech facilities to adopt LIMS solutions Real-Time Data Collection and Tracking Previously, collecting and transporting samples was a tedious and time-consuming task. However, the adoption of LIMS with innovative tracking modules has made the job easier. The real-time sample tracking feature of LIMS has made it possible for personnel to collect the research data in real-time and manage and control the workflow with a few mouse clicks on the screen. Increase Revenue LIMS makes it possible to test workflows while giving users complete control over the testing process. A laboratory is able to collect data, schedule equipment maintenance or upgrades, enhance operational efficiency, and maintain a lower overhead with the help of the LIMS, thereby increasing revenue. Streamlined Workflow With its completion monitoring, LIMS speeds up laboratory workflows and keeps track of information. It assigns tasks to the specialist along with keeping a real-time track of the status and completion of each task. LIMS is integrated into the laboratory using lab information, which ultimately speeds up internal processes and streamlines the workflow. Automatic Data Exchange LIMS solutions store data in a centralized database. Automated transfer of data between departments and organizations is one of the major features of LIMS. Through its automated information exchange feature, LIMS improves internal operations, decreases the reporting time for data sharing, and assists in faster decision-making. Final Thoughts As the healthcare sector continues to ride the wave of digital transformation, biotech laboratories are emphasizing adopting newer technologies to keep up with the changes. Citing this trend, laboratory information management systems are becoming crucial for biotech and medical organizations for maintaining research data, instant reporting, and managing confidential, inventory, and financial data with centralized data storage.

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Spotlight

Relypsa

Relypsa is a biopharmaceutical company leading the discovery, development and commercialization of polymer-based medicines to treat conditions that are often overlooked and undertreated, but that can have a serious impact on patient lives or even be life-threatening.

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Research

Synthace Unveils First Life Sciences R&D Cloud Addressing Complexity, Speed & Reproducibility for Scientists

Synthace | August 03, 2021

Synthace, a leading life sciences software company, today announced the first life sciences R&D cloud that includes a no-code software platform addressing the largest barriers to innovation that R&D life scientists currently face. With the release of this new platform, Synthace is also the first vendor to enable scientists to automate experimentation and insight sharing in a unified, global R&D environment. Scientists can now focus on asking the most impactful questions and unlock the true potential of biology. To solve humanity’s hardest problems, such as delivering breakthrough therapies or alternative food sources, the life sciences industry is under tremendous pressure to simultaneously overcome biology’s complexity, accelerate speed to scientific insight, and ensure the reproducibility of experiments. Synthace alleviates these challenges by empowering scientists to improve and accelerate decision-making with more statistically powerful, automated experiments that can minimize human error. Furthermore, Synthace’s cloud platform leverages intelligent, dynamic automation to produce the highest quality data sets that are primed for machine learning (ML) and other advanced analyses to lead to better insights. With Synthace, the life sciences can now benefit from a quantum leap in experimentation capabilities, accelerating development timelines that would have previously been impossible. Customers Accelerate R&D with Synthace Ipsen has been using Synthace to automate the design and construction of therapeutic candidates. With Synthace, Ipsen produced approximately 90 constructs five times faster than previous methods, substantially increasing the number of molecules entering the screening cascade. The platform also achieved a 10-fold reduction in costs associated with DNA synthesis. Karen Bunting, Director of Protein Sciences at Ipsen commented, “Synthace sits very well at the beginning of our drug discovery process. It allows us to explore larger drug design space by simplifying planning and production of multiple molecule variants with combinatorial construct assembly. These throughput improvements help us deliver well-tolerated and effective therapeutic solutions more rapidly to our patients.” Microsoft Research also uses Synthace to automatically generate biological data at a volume that allows its ML algorithms to rapidly improve. As part of reporting on advancements in programming biological systems, a member of its Biocomputation Group noted: “Synthace really comes into its own when we’re performing experiments with complex layouts like combinatorial construct assembly and design of experiments. When we’re building 12 constructs at a time, Synthace automates all the planning that would go into setting up such an experiment and allows it to become routine.” Synthace Life Sciences R&D Cloud The platform provides end-to-end management of the experimental lifecycle, from design through execution to data visualization and knowledge transfer. Synthace adheres to FAIR principles to support interoperability with other major lab informatics platforms to ensure streamlined data management for all of its customers. Only the Synthace Life Sciences R&D Cloud delivers: Complete experimental design, planning and automation, requiring no coding expertise. Scientists can define more informative and impactful experiments that would otherwise be impossible to run and easily implement Quality by Design (QbD) and Design of Experiments (DOE). Seamless, cloud-based data capture, processing, and visualization. R&D teams can deliver deeper and faster insights from fully contextualized, machine learning-ready data sets that are automatically generated from the laboratory. Minimal deployment and onboarding. Customers experience rapid time-to-insight through Synthace’s out-of-the-box platform features and pre-validated protocols for common applications such as ELISA and high-throughput purification, helping them shorten R&D cycles and study more candidates per program. About Synthace Synthace is a life sciences software company enabling life science the way it should be done. Delivering a life sciences R&D cloud to scientists who want to innovate faster, the Synthace platform seamlessly automates experimentation and insight sharing so that scientists can focus on asking the most impactful questions to unlock the true potential of biology. Top global pharmaceuticals, high-growth biotech companies, leading CDMOs, and innovators in artificial intelligence all turn to Synthace to discover solutions to humanity’s hardest problems.

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VMware Advances Hybrid Cloud Operations and Automation with Refreshed vRealize Cloud Management Platform

albawaba | April 03, 2019

VMware vRealize Operations delivers self-driving operations management from applications to infrastructure to optimize, plan and scale hybrid clouds including on-prem environments. It delivers continuous performance optimization based on operational and business intent, efficient capacity management, proactive planning, intelligent remediation and integrated compliance. VMware vRealize Operations 7.5 will extend self-driving capabilities to help customers achieve:

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VMware advances hybrid cloud operations and automation

datacenternews | April 03, 2019

The new product releases vRealize Operations 7.5, vRealize Network Insight 4.1, vRealize Automation 7.6, and vRealize Suite Lifecycle Manager 2.1 will supposedly combine to provide expanded self-driving operations and enhanced programmable provisioning capabilities across private and hybrid clouds.

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Research

Synthace Unveils First Life Sciences R&D Cloud Addressing Complexity, Speed & Reproducibility for Scientists

Synthace | August 03, 2021

Synthace, a leading life sciences software company, today announced the first life sciences R&D cloud that includes a no-code software platform addressing the largest barriers to innovation that R&D life scientists currently face. With the release of this new platform, Synthace is also the first vendor to enable scientists to automate experimentation and insight sharing in a unified, global R&D environment. Scientists can now focus on asking the most impactful questions and unlock the true potential of biology. To solve humanity’s hardest problems, such as delivering breakthrough therapies or alternative food sources, the life sciences industry is under tremendous pressure to simultaneously overcome biology’s complexity, accelerate speed to scientific insight, and ensure the reproducibility of experiments. Synthace alleviates these challenges by empowering scientists to improve and accelerate decision-making with more statistically powerful, automated experiments that can minimize human error. Furthermore, Synthace’s cloud platform leverages intelligent, dynamic automation to produce the highest quality data sets that are primed for machine learning (ML) and other advanced analyses to lead to better insights. With Synthace, the life sciences can now benefit from a quantum leap in experimentation capabilities, accelerating development timelines that would have previously been impossible. Customers Accelerate R&D with Synthace Ipsen has been using Synthace to automate the design and construction of therapeutic candidates. With Synthace, Ipsen produced approximately 90 constructs five times faster than previous methods, substantially increasing the number of molecules entering the screening cascade. The platform also achieved a 10-fold reduction in costs associated with DNA synthesis. Karen Bunting, Director of Protein Sciences at Ipsen commented, “Synthace sits very well at the beginning of our drug discovery process. It allows us to explore larger drug design space by simplifying planning and production of multiple molecule variants with combinatorial construct assembly. These throughput improvements help us deliver well-tolerated and effective therapeutic solutions more rapidly to our patients.” Microsoft Research also uses Synthace to automatically generate biological data at a volume that allows its ML algorithms to rapidly improve. As part of reporting on advancements in programming biological systems, a member of its Biocomputation Group noted: “Synthace really comes into its own when we’re performing experiments with complex layouts like combinatorial construct assembly and design of experiments. When we’re building 12 constructs at a time, Synthace automates all the planning that would go into setting up such an experiment and allows it to become routine.” Synthace Life Sciences R&D Cloud The platform provides end-to-end management of the experimental lifecycle, from design through execution to data visualization and knowledge transfer. Synthace adheres to FAIR principles to support interoperability with other major lab informatics platforms to ensure streamlined data management for all of its customers. Only the Synthace Life Sciences R&D Cloud delivers: Complete experimental design, planning and automation, requiring no coding expertise. Scientists can define more informative and impactful experiments that would otherwise be impossible to run and easily implement Quality by Design (QbD) and Design of Experiments (DOE). Seamless, cloud-based data capture, processing, and visualization. R&D teams can deliver deeper and faster insights from fully contextualized, machine learning-ready data sets that are automatically generated from the laboratory. Minimal deployment and onboarding. Customers experience rapid time-to-insight through Synthace’s out-of-the-box platform features and pre-validated protocols for common applications such as ELISA and high-throughput purification, helping them shorten R&D cycles and study more candidates per program. About Synthace Synthace is a life sciences software company enabling life science the way it should be done. Delivering a life sciences R&D cloud to scientists who want to innovate faster, the Synthace platform seamlessly automates experimentation and insight sharing so that scientists can focus on asking the most impactful questions to unlock the true potential of biology. Top global pharmaceuticals, high-growth biotech companies, leading CDMOs, and innovators in artificial intelligence all turn to Synthace to discover solutions to humanity’s hardest problems.

Read More

VMware Advances Hybrid Cloud Operations and Automation with Refreshed vRealize Cloud Management Platform

albawaba | April 03, 2019

VMware vRealize Operations delivers self-driving operations management from applications to infrastructure to optimize, plan and scale hybrid clouds including on-prem environments. It delivers continuous performance optimization based on operational and business intent, efficient capacity management, proactive planning, intelligent remediation and integrated compliance. VMware vRealize Operations 7.5 will extend self-driving capabilities to help customers achieve:

Read More

VMware advances hybrid cloud operations and automation

datacenternews | April 03, 2019

The new product releases vRealize Operations 7.5, vRealize Network Insight 4.1, vRealize Automation 7.6, and vRealize Suite Lifecycle Manager 2.1 will supposedly combine to provide expanded self-driving operations and enhanced programmable provisioning capabilities across private and hybrid clouds.

Read More

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