Pure Storage makes hybrid cloud play with new acquisition

Pure Storage cites an IDC study that shows among enterprises there is a growing demand for file-based shared storage in the public cloud. to justify its investment. According to the report, 79% of end users leverage file-based storage for unstructured data associated with mission-critical workloads.

Spotlight

OXiGENE, Inc.

OXiGENE is a biopharmaceutical company seeking to realize the full potential of vascular targeted therapy (VTT) in orphan oncology indications. VTTs include vascular disrupting agents (VDAs) such as the investigational drugs that OXiGENE is developing, and anti-angiogenic agents (AAs), a number of which are FDA approved and widely used in cancer treatment. These 2 approaches (VDAs and AAs) have distinct yet complementary mechanisms of action.

OTHER ARTICLES
MedTech

Making Predictions by Digitizing Bioprocessing

Article | July 20, 2022

With advances in data analytics and machine learning, the move from descriptive and diagnostic analytics to predictive and prescriptive analytics and controls—allowing us to better forecast and understand what will happen and thus optimize process outcomes—is not only feasible but inevitable, according to Bonnie Shum, principal engineer, pharma technical innovation, technology & manufacturing sciences and technology at Genentech. “Well-trained artificial intelligence systems can help drive better decision making and how data is analyzed from drug discovery to process development and to manufacturing processes,” she says. Those advances, though, only really matter when they improve the lives of patients. That’s exactly what Shum expects. “The convergence of digital transformation and operational/processing changes will be critical for the facilities of the future and meeting the needs of our patients,” she continues. “Digital solutions may one day provide fully automated bioprocessing, eliminating manual intervention and enabling us to anticipate potential process deviations to prevent process failures, leading to real-time release and thus faster access for patients.” To turn Bioprocessing 4.0 into a production line for precision healthcare, real-time release and quickly manufacturing personalized medicines will be critical. Adding digitization and advanced analytics wherever possible will drive those improvements. In fact, many of these improvements, especially moving from descriptive to predictive bioprocessing, depend on more digitization.

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Medical

Better Purification and Recovery in Bioprocessing

Article | July 14, 2022

In the downstream portion of any bioprocess, one must pick through the dross before one can seize the gold the biotherapeutic that the bioprocess was always meant to generate. Unfortunately, the dross is both voluminous and various. And the biotherapeutic gold, unlike real gold, is corruptible. That is, it can suffer structural damage and activity loss. When discarding the dross and collecting the gold, bioprocessors must be efficient and gentle. They must, to the extent possible, eliminate contaminants and organic debris while ensuring that biotherapeutics avoid aggregation-inducing stresses and retain their integrity during purification and recovery. Anything less compromises purity and reduces yield. To purify and recover biotherapeutics efficiently and gently, bioprocessors must avail themselves of the most appropriate tools and techniques. Here, we talk with several experts about which tools and techniques can help bioprocessors overcome persistent challenges. Some of these experts also touch on new approaches that can help bioprocessors address emerging challenges.

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Medical

5 Biotech Stocks Winning the Coronavirus Race

Article | August 16, 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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Industrial Impact

AI and Biotechnology: The Future of Healthcare Industry

Article | January 20, 2021

Artificial intelligence has grasped the foundation in biotech. It can have the most innovative impact on biotechnology. AI has already established its presence in our day-to-day life. AI has made the existence of self-driving cars possible. Likewise, the benefits and quality that it can contribute to biotech can also be felt. With AI, bio technicians will be able to enhance virtual screening, overlook preliminary datasets from clinics, and decipher an enormous amount of information. It can also help in improving the medication process by gathering and analyzing every bit of information. The Significance of AI in Biotechnology In the past few years, the application of artificial intelligence in the biotechnology industry has shifted from being sci-fi to sci-fact. A vast number of biotech companies like Deep Genomics are adopting AI for making data-driven decisions and use analytics tools to work efficiently. Unlike the AI robots in sci-fi that are ready to take over the world. AI designed for biotech has been designed to solve certain problems or complete a bunch of tasks by using automated algorithms. The aim of AI technology for biotech is to collect insights along with hidden patterns from large amounts of data. All the different industries of biotech including agriculture, animal, medical, industrial, and bioinformatics are gradually being affected by artificial intelligence. Moreover, the biotech industry is realizing that AI enables them some of the important strength to their business, including: Expanding accessibility Cost-effectiveness Critical predictions Efficient decision-making Research centers like PwC have also estimated output of $15.7 trillion by 2030 solely with AI contribution in industries. A survey revealed that about 44% of life science experts are using AI for R&D activities, as well. Use of AI in Biotechnology Altering Biomedical and Clinical Data So far the most developed use of AI is its ability to read voluminous data records and interpret them. It can prove to be a life-save for bio technicians who would have to examine that much data from research publications by themselves for the validation of their hypothesis. With the help of AI, clinical studies of patients will also become easier as all the examination reports and prescriptions will be stored in one place for cross-reference. Furthermore, it will also help in blending and fetching data into usable formats for analysis. Test Result Prediction Through trial and error, AI along with machine learning can help in predicting the response of the patient to certain drugs to provide more effective outcomes. Drug Design & Discovery AI plays a vital role whether it’s designing a new molecule or identifying new biological targets. It helps in identifying and validating drugs. It reduces the cost and time spent on the entire drug trial process and reaches the market. Personalized Medications for Rare Diseases With the combination of body scan results, patients’ body and analytics, AI can also help in detecting dangerous diseases at an early stage. Improving Process of Manufacturing To improve the process of manufacturing in biotechnology, AI offers a wide range of opportunities. It controls quality, reduces wastage, improves useability, and minimizes the designing time. Moving Towards AI-Enhanced Biotech Future Ever since the concept of artificial intelligence has arrived, being curious by nature, humans have started working towards achieving this goal. It has been growing at a fast pace while showing unbelievable growth and achievements at times. In comparison to the traditional methods used in the biotechnology industry, AI-based methods seem more reliable and accurate. In the upcoming years, it will show its success by improving the quality of health people have. You can also develop your AI-based application or know more about it by taking IT consultations.

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Spotlight

OXiGENE, Inc.

OXiGENE is a biopharmaceutical company seeking to realize the full potential of vascular targeted therapy (VTT) in orphan oncology indications. VTTs include vascular disrupting agents (VDAs) such as the investigational drugs that OXiGENE is developing, and anti-angiogenic agents (AAs), a number of which are FDA approved and widely used in cancer treatment. These 2 approaches (VDAs and AAs) have distinct yet complementary mechanisms of action.

Related News

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.

Read More

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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