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The Subsequent Frontier in Genetic Medication – NanoApps Medical – Official web site

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The Subsequent Frontier in Genetic Medication – NanoApps Medical – Official web site


Uncover how prime modifying is redefining the way forward for medication by providing extremely exact, secure, and versatile DNA corrections, bringing hope for simpler therapies for genetic ailments whereas elevating essential scientific and moral questions.

Introduction

What if we may rewrite the genetic code of a single cell with surgical precision? Prime modifying, the following leap in genome engineering, allows extremely correct DNA corrections with out damaging the genetic code, paving the way in which for safer and simpler therapies for genetic issues.

As know-how evolves, prime modifying exhibits promise in changing into a cornerstone of personalised medication. This text explores the basics of prime modifying, its variations from different gene modifying applied sciences, the underlying mechanisms, potential medical functions, in addition to the scientific and moral challenges that lie forward.

What’s Prime Modifying?

Launched in 2019 by a group of researchers from the Broad Institute on the Massachusetts Institute of Expertise and Harvard College, prime modifying builds upon clustered commonly interspaced quick palindromic repeats (CRISPR), redefining therapeutic approaches to numerous genetic issues.1

Prime modifying is a next-generation gene-editing method designed to right, insert, or delete particular DNA sequences with out inflicting double-stranded breaks or counting on donor DNA templates. As in comparison with earlier genome modifying strategies comparable to zinc finger nucleases (ZFNs), transcription activator-like effector nucleases (TALENs), and CRISPR-CRISPR-associated protein 9 (Cas9), prime modifying affords a extra exact and versatile various with fewer off-target results.3,4

Typical CRISPR-Cas9 techniques edit DNA by creating double-stranded breaks at focused genomic areas, adopted by mobile restore by way of both non-homologous finish becoming a member of or homology-directed restore. Whereas efficient, this course of can lead to unintended DNA insertions or deletions, also called indels, and is primarily restricted to dividing cells.5

Comparatively, prime modifying depends on Cas9 nickase, a modified CRISPR-Cas9 system, fused to a reverse transcriptase enzyme able to figuring out and subsequently changing particular DNA sequences with greater precision and decrease danger.5 Since its introduction in 2019 by David Liu and colleagues, prime modifying has quickly change into a spotlight of intensive analysis, with a number of enhancements which have enhanced its effectivity and applicability in therapeutic settings.6

Graphical description of the Cas9-mediated genome editing technologies.4Graphical description of the Cas9-mediated genome modifying applied sciences.4

How Does Prime Modifying Work?

Prime editors (PEs) include a three-component system together with a Cas9 nickase, which is conjugated to an engineered reverse transcriptase paired with a primary modifying information ribonucleic acid (pegRNA). Initially, pegRNA will bind to the goal DNA sequence by way of complementary base pairing, following which the Cas9 nickase nicks the non-target strand.

pegRNA serves the twin goal of guiding the PE protein to the focused locus and encoding the specified edit.”

The pegRNA subsequently makes use of the reverse transcription template to synthesize the specified DNA sequence on the break website. Ligation and DNA mismatch restore (MMR) are then initiated to repeat data from the modifying strand to the unedited strand, which leads to the specified modification to the genome.3,6

“Prime Modifying” Revolutionizing Genetic Engineering

Benefits of Prime Modifying

Prime modifying affords quite a few benefits as in comparison with earlier genome modifying instruments.

The flexibility of prime modifying, for instance, allows all 12 attainable base-to-base conversions and helps small insertions and deletions, thus providing immense flexibility for exact genomic modifications. Prime modifying can be extremely exact, which considerably reduces the chance of unintended mutations and off-target results as in comparison with CRISPR-Cas9, thereby making it a safer various for therapeutic functions.7

Prime modifying can perform in each dividing and non-dividing cells, thereby broadening its utility in tissues comparable to neurons and muscle cells that had been beforehand difficult to edit. This know-how additionally eliminates the necessity for double-strand breaks or donor templates, thereby minimizing mobile stress and enhancing modifying outcomes.5

The flowchart of PE design and application. Prime editing is used to treat genetic diseases with specific pathogenic mutations. Some websites may help to design a variety of candidate pegRNAs and nsgRNAs, which are then constructed by means of the golden gate assembly technique. Subsequently, these plasmids are applied for in vitro screening to choose the pegRNA and nsgRNA with the best performance. These well-performed RNAs are then constructed into a dual-AAV system. After being injected into the mouse model, the editing efficiency and off-target events of prime editing are finally evaluated.The flowchart of PE design and utility. Prime modifying is used to deal with genetic ailments with particular pathogenic mutations. Some web sites could assist to design a wide range of candidate pegRNAs and nsgRNAs, that are then constructed by the use of the golden gate meeting method. Subsequently, these plasmids are utilized for in vitro screening to decide on the pegRNA and nsgRNA with the very best efficiency. These well-performed RNAs are then constructed right into a dual-AAV system. After being injected into the mouse mannequin, the modifying effectivity and off-target occasions of prime modifying are lastly evaluated.

Potential Purposes in Well being and Medication

Prime modifying is presently being explored as a novel method for the remedy of genetic ailments, most cancers, and infectious ailments.

This environment friendly device can right as much as 89% of beforehand found genetic variants which might be related to human ailments.”

Monogenic Illnesses

Prime modifying has been broadly studied in each in vitro and in vivo preclinical fashions to right genetic mutations accountable for Duchenne muscular dystrophy, Leber congenital amaurosis, tyrosinemia, α1-Antitrypsin deficiency (AATD), and phenylketonuria. Though quite a few prime editors (PEs) have been investigated and offered promising outcomes, further research utilizing greater animal fashions are warranted earlier than this know-how will be evaluated in human topics.3

Most cancers analysis 

Chemotherapy, radiation, and surgical procedure are the first therapies used for the remedy of most cancers, along with hormonal and focused immunotherapies when relevant. Nonetheless, these approaches are related to quite a few undesirable and significant unwanted effects, which warrant the event of secure and extra focused methods.

Numerous genetic mutations have been implicated in most cancers because the driving reason behind non-cancerous cells reworking into most cancers cells attributable to altered protein expression. Gene modifying applied sciences like CRISPR Cas9 and prime modifying have been broadly studied for his or her potential to right these malignant mutations, in addition to induce cancer-related mutations in preclinical fashions used to research novel therapeutics.

Infectious ailments

There may be rising curiosity in utilizing prime modifying to supply resistance to viral infections or take away built-in viral genomes from host DNA, thereby stopping the virus from being reactivated. This might present everlasting immunity or viral elimination.4

Preventive genomics

Making exact adjustments within the genome raises the potential of utilizing prime modifying in germ cells or embryos to create adjustments that may very well be inherited. Nonetheless, these functions stay ethically contentious and tightly regulated.10

Present Standing of Medical Analysis

Most prime modifying functions are preclinical and, consequently, have been restricted to in vitro and in vivo fashions. Nonetheless, ex vivo modifying of affected person cells adopted by transplantation has offered substantial hope for profitable future scientific translation.8

Challenges and Moral Concerns

A number of scientific, technical, and moral considerations should be addressed earlier than prime modifying turns into normal follow. The big dimension of PEs makes supply by way of viral vectors tough, which has led researchers to research the potential utility of non-viral platforms and optimized vectors for prime modifying functions.5

Modifying effectivity additionally varies considerably relying on the situation of the gene and the kind of cell. To beat these challenges, researchers are actively creating methods to enhance pegRNA design, reverse transcriptase exercise, and the mobile restore atmosphere.1

The misuse of genome modifying for non-therapeutic functions and the enhancement of designer traits is a main moral concern. To handle these points, regulatory our bodies comparable to the US Meals and Drug Administration (FDA) are creating frameworks for the accountable use of prime modifying know-how.10

Conclusions

Prime modifying represents a strong device for genetic engineering.

Additional analysis is required to proceed advancing gene modifying applied sciences, specializing in growing effectivity, enhancing DNA supply, and enhancing security. An interdisciplinary method and continued public engagement are additionally essential to make sure that prime modifying is used safely and ethically.

References

  1. Zhao, Z., Shang, P., Mohanraju, P., & Geijsen, N. (2023). Prime modifying: advances and therapeutic functions. Developments in Biotechnology, 41(8), 1000–1012. DOI:10.1016/j.tibtech.2023.03.004, https://www.sciencedirect.com/science/article/pii/S0167779923000859
  2. Anzalone, A. V., Randolph, P. B., Davis, J. R., Sousa, A. A., Koblan, L. W., Levy, J. M., Chen, P. J., Wilson, C., Newby, G. A., Raguram, A., & Liu, D. R. (2019). Search-and-replace genome modifying with out double-strand breaks or donor DNA. Nature, 576(7785), 149–157. DOI:10.1038/s41586-019-1711-4, https://www.nature.com/articles/s41586-019-1711-4
  3. Fu, Y., He, X., Gao, X. D., Li, F., Ge, S., Yang, Z., & Fan, X. (2023). Prime modifying: present advances and therapeutic alternatives in human ailments. Science Bulletin, 68(24), 3278–3291. DOI:10.1016/j.scib.2023.11.015, https://www.sciencedirect.com/science/article/pii/S2095927323007697
  4. Hosseini, S. Y., Mallick, R., Mäkinen, P., & Ylä-Herttuala, S. (2024). Insights into Prime Modifying Expertise: A Deep Dive into Fundamentals, Potentials, and Challenges. Human Gene Remedy, 35(17-18), 649–668. DOI:10.1089/hum.2024.043, https://www.liebertpub.com/doi/10.1089/hum.2024.043
  5. Li, M., Lin, Y., Cheng, Q., & Wei, T. (2025). Prime Modifying: A Revolutionary Expertise for Exact Remedy of Genetic Issues. Cell Proliferation, 58(4), e13808. DOI:10.1111/cpr.13808, https://onlinelibrary.wiley.com/doi/full/10.1111/cpr.13808
  6. Scholefield, J., & Harrison, P. T. (2021). Prime Modifying – An Replace on the Discipline. Gene Remedy, 28(7-8), 396–401. DOI:10.1038/s41434-021-00263-9, https://www.nature.com/articles/s41434-021-00263-9
  7. Gao, P., Lyu, Q., Ghanam, A. R., Lazzarotto, C. R., Newby, G. A., Zhang, W., Choi, M., Slivano, O. J., Holden, Okay., Walker, J. A., 2nd, Kadina, A. P., Munroe, R. J., Abratte, C. M., Schimenti, J. C., Liu, D. R., Tsai, S. Q., Lengthy, X., & Miano, J. M. (2021). Prime modifying in mice reveals the essentiality of a single base in driving tissue-specific gene expression. Genome Biology, 22(1), 83. DOI:10.1186/s13059-021-02304-3, https://genomebiology.biomedcentral.com/articles/10.1186/s13059-021-02304-3
  8. Everette, Okay.A., Newby, G.A., Levine, R.M. et al. Ex vivo prime modifying of affected person haematopoietic stem cells rescues sickle-cell illness phenotypes after engraftment in mice. Nature Biomedical Engineering 7, 616–628 (2023). DOI:10.1038/s41551-023-01026-0, https://www.nature.com/articles/s41551-023-01026-0
  9. Sousa, A. A., Hemez, C., Lei, L., Traore, S., Kulhankova, Okay., Newby, G. A., Doman, J. L., Oye, Okay., Pandey, S., Karp, P. H., McCray, P. B., Jr, & Liu, D. R. (2025). Systematic optimization of prime modifying for the environment friendly practical correction of CFTR F508del in human airway epithelial cells. Nature Biomedical Engineering, 9(1), 7–21. DOI:10.1038/s41551-024-01233-3, https://www.nature.com/articles/s41551-024-01233-3
  10. Rothschild J. (2020). Moral concerns of gene modifying and genetic choice. Journal of Common and Household Medication, 21(3), 37–47. DOI:10.1002/jgf2.321, https://onlinelibrary.wiley.com/doi/full/10.1002/jgf2.321

Micron joins HBM4 race with 36GB 12-high stack, eyes AI and information heart dominance

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Micron joins HBM4 race with 36GB 12-high stack, eyes AI and information heart dominance



Rawat added that these enhancements allow sooner mannequin coaching, assist bigger batch sizes, and ship extra environment friendly inference, essential for superior fashions like GPT-5, Gemini, and Claude. HBM4 additionally facilitates tighter integration between AI accelerators and reminiscence, lowering latency and boosting throughput, permitting system architects to construct extra optimized compute stacks, particularly necessary for real-time and multimodal AI functions.

Race to energy the following technology of AI

By transport samples of the HMB4 to the important thing prospects, Micron has joined SK hynix within the HBM4 race. In March this yr, SK hynix shipped the 12-layer HBM4 samples to prospects. SK hynix’s HBM4 has carried out bandwidth able to processing greater than 2TB of information per second, processing information equal to greater than 400 full-HD motion pictures (5GB every) in a second, mentioned the corporate.

12-layer (or 12-high) HBM4 refers to a particular configuration of that commonplace. Whereas Micron calls its HBM4 providing as 12-high stack reminiscence, SK hynix calls it 12-layer HBM4 – each discuss with the variety of stacked DRAM chips inside a single HBM4 reminiscence module.

“HBM aggressive panorama, SK hynix has already sampled and secured approval of HBM4 12-high stack reminiscence early Q1’2025 to NVIDIA for its subsequent technology Rubin product line and plans to mass produce HBM4 in 2H 2025,” mentioned Danish Faruqui, CEO, Fab Economics.

“Carefully following, Micron is pending Nvidia’s checks for its newest HBM4 samples, and Micron plans to mass produce HBM4 in 1H 2026. Alternatively, the final contender, Samsung is battling yield ramp on HBM4 know-how growth stage, and so has to delay the shopper samples milestones to Nvidia and different gamers whereas it earlier shared an finish of 2025 milestone for mass producing HBM4.”

Faruqui famous one other key differentiator amongst SK hynix, Micron, and Samsung: the bottom die that anchors the 12-high DRAM stack. For the primary time, each SK hynix and Samsung have launched a logic-enabled base die on 3nm and 4nm course of know-how to allow HBM4 product for environment friendly and sooner product efficiency through base logic-driven reminiscence administration.

Knowledgeable Swift | Kodeco

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Knowledgeable Swift | Kodeco


This e book is for intermediate Swift builders who already know the fundamentals of Swift and need to deepen their data and understanding of the language.

  • Protocols & Generics
  • Numerics & Ranges
  • Sequences & Collections
  • Unsafe
  • Useful Reactive Programming
  • Goal-C Interoperability
  • Library & API Design

Grasp the Swift language with the Knowledgeable Swift e book!

Swift is a wealthy language with a plethora of options to supply. Studying the official documentation or entry-level books is necessary, nevertheless it’s not sufficient to understand the true energy of the language.

Knowledgeable Swift is right here to assist, by exhibiting…


extra

This part tells you a number of issues it’s essential know earlier than you get began, resembling what you’ll want for {hardware} and software program, the place to seek out the mission recordsdata for this e book, and extra.

The primary part of this e book covers the essential constructing blocks of the Swift language: The sort system (enums, structs and courses), Protocols and Generics. We’ll begin with a short refresher of every subject after which soar proper into the behind-the-scenes implementations.

The content material of this part will expose the interior workings of the sort system, in addition to get you intimately accustomed to protocols and generics.

Welcome to Knowledgeable Swift. On this chapter, you’ll study a few of the motivations behind creating the Swift language, take a brief however deep dive into the Swift toolchain movement and have a look at Swift. You’ll develop a easy language characteristic, ifelse, to discover a few of the services Swift presents for creating highly effective, expressive abstractions.

Varieties are important to constructing Swift applications. The Swift compiler kind checks your code to confirm correctness, guarantee security and allow larger optimization. You’ll achieve expertise concerning the completely different nominal varieties and mutation with a number of small examples. You’ll additionally implement mutable worth semantics for a QuadTree kind utilizing copy-on-write dynamic storage.

On this chapter you may undergo a short refresher on the fundamentals of protocols in addition to a few of their extra hardly ever used options.
You’ll additionally study widespread patterns that use protocols in addition to some helpful gotchas and edge circumstances to remember.

On this chapter, you may get intimately accustomed to generics by persevering with to work on the networking library you began within the earlier chapter. You may discover ways to write generic capabilities, courses and structs; the right way to use protocols with related varieties; what kind erasure is and the right way to put all that collectively to make a coherent API.

This sections covers the bottom layer of writing Swift applications: Numerics, Ranges, Strings, Sequences, Collections, Codable and the much less apparent, however crucial subject – Unsafe.

As you’d count on from a complicated e book, we don’t solely clarify these subjects, but in addition examine how they’re constructed, how they’re represented, and the right way to use them successfully.

Swift is a platform-agnostic, general-purpose programming language that helps varied numeric varieties with differing house, vary, accuracy and efficiency traits. Constructing two apps (BitViewer and Mandlebrot), you’ll see how Swift simplifies programming with protocols and generics. You’ll additionally have a look at vary varieties and the way operators and generics as soon as once more come to the rescue in implementing these language options.

Sequence, Assortment and associated protocols type the spine of the usual library for varieties like Array, Dictionary and Set. You’ll see how these protocols let you write generic algorithms that function throughout households of collections. The usual library presents some ways to shortly construct customized sequences and collections. You’ll use these to construct a number of examples together with a customized mutable assortment to implement Conway’s Sport of Life. You’ll additionally create a chunking algorithm that can be utilized with any assortment kind.

The right implementation of a string kind in Swift has been a controversial subject for fairly a while. The design is a fragile stability between Unicode correctness, encoding agnosticism, ease-of-use and high-performance. Nearly each main launch of Swift has refined the String kind to the superior design we have now in the present day. You’ll study how one can most successfully use strings, what they are surely, how they work and the way they’re represented.

When creating your app, you’ll typically cope with a myriad of information fashions and varied exterior items of information that you simply’ll wish to characterize as knowledge fashions in your app.
On this chapter, you’ll shortly flick through the fundamentals of Codable, after which give attention to the superior supplies down the darkish corners of codable varieties.

Swift is a memory-safe and type-safe language. In some circumstances, you would possibly want your code to be extraordinarily optimized, by which case the tiny overhead added by the protection checks from Swift is likely to be too costly. You is likely to be coping with an enormous stream of real-time knowledge, manipulating giant recordsdata or different giant operations that cope with giant knowledge.
On this chapter you may discover ways to use unsafe Swift to immediately entry reminiscence by means of a wide range of pointer varieties and the right way to work together with the reminiscence system immediately.

The ultimate part of this e book covers superior methods to super-charge your Swift powers, and use all of what Swift has to supply.

We’ll cowl subjects like Increased order capabilities, Useful reactive programming, Goal-C interoperability, utilizing Instrumentation, and API design.

Increased-order capabilities can simplify your code considerably by making it extra readable, lots shorter and simpler to reuse. You may study what are increased order capabilities, what’s currying and look at examples of how they’re utilized in the usual library.

On this chapter you may study an important and refined ideas of useful reactive programming and how one can apply these ideas to your apps.

Prefer it or not, Goal-C continues to be a closely used language in legacy codebases and apps which were in manufacturing for a few years. In your individual apps, you’ll typically have a large Goal-C codebase that simply doesn’t really feel at house inside your Swift code or wish to use a few of your shiny new Swift code in your Goal-C code.
On this chapter, you may discover ways to create a healthful expertise for shoppers of each the Goal-C and Swift parts of your codebase in a method that feels as if it have been designed for both.

Being an ideal iOS software program engineer is not solely about being a grandmaster of the Swift language. It is also about understanding which instruments the platform places at your disposal, the right way to use them to sharpen your abilities and the right way to establish areas of enchancment in your code.
On this chapter you may study superior options of the Devices app, and the right way to use it to enhance your code.

Discover a number of subjects to reinforce your skillset and instinct for designing nice APIs.
Subjects like Documentation, Encapsulation, versioning, and a number of other highly effective language options.

Is ChatGPT Secure? An Evaluation of the AI’s Android App

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Is ChatGPT Secure? An Evaluation of the AI’s Android App


Good AI, damaged defenses?

AI-powered apps are revolutionizing how we search, be taught, and talk, however the fast tempo of innovation has come at a price: safety is commonly an afterthought.

As a part of our AI App Safety Evaluation Collection, we’ve been scrutinizing a few of the hottest AI instruments on Android for hidden vulnerabilities that would put hundreds of thousands of customers in danger.

Continue

Making Agentic AI Work within the Actual World

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Making Agentic AI Work within the Actual World


Two years in the past, ChatGPT couldn’t even let you know what day it was. These early fashions had been frozen at their coaching cutoff—sensible conversationalists who may focus on Shakespeare however not yesterday’s information.

Then got here internet search. Language fashions may immediately fact-check themselves and pull present info. However they remained observers, not individuals. They might let you know in regards to the world however couldn’t contact it.

Right now’s agentic AI represents a elementary shift: we’ve given these techniques instruments. Take this situation: you’re planning a household trip to Tokyo. A contemporary AI agent doesn’t simply recommend an itinerary. It watches journey vlogs, cross-references museum hours together with your children’ nap schedules, books that hidden ramen store, coordinates calendars, and handles deposits. It’s not simply considering. It’s doing.

For enterprise organizations, the stakes multiply exponentially. Past private knowledge, we’re speaking about mental property, buyer info, and firm status. Once you deploy an agent to barter vendor contracts, it shouldn’t have entry to your M&A plans. When it’s analyzing competitor pricing, it shouldn’t be capable to share your inside roadmap. When processing worker advantages, it should shield well being info. When analyzing buyer conduct, it should safeguard personally identifiable info from being uncovered in summaries or stories.

The problem compounds with emergent behaviors—AI brokers discovering artistic methods to finish duties that we by no means anticipated. An agent instructed to “scale back buyer assist prices” may begin auto-rejecting legitimate claims. One tasked with “enhancing assembly effectivity” may start declining vital stakeholder invitations.

So how will we leverage the unparalleled potential of Agentic AI, safely? This calls for a brand new safety paradigm. Authentication turns into: “Is that this AI actually performing on my behalf?” Authorization turns into: “What ought to my AI be allowed to do?” The precept of least privilege turns into important when the actor is an AI working at machine pace with its personal problem-solving creativity. The stakes have essentially modified. The largest hurdle to adoption shall be how brokers are given secure and safe entry to enterprise assets.

Securing Agentic AI With Cisco’s Common Zero Belief Community Entry Structure

Enterprise adoption of AI brokers requires fixing a important new problem: easy methods to grant brokers entry to company assets like Google Workspace or Slack APIs with out over-privileging them past their supposed scope. Conventional OAuth implementations present solely coarse-grained permissions—sometimes learn or read-write entry on the utility degree—creating an all-or-nothing safety mannequin that doesn’t align with agent-specific use instances.

We’re constructing the power for an enterprise to implement dynamic, context-aware permission administration that evaluates agent requests towards each express coverage guidelines and semantic evaluation of the agent’s acknowledged goal. The system permits workers to delegate granular permissions—say permitting an agent to learn emails for summarization whereas stopping it from deleting emails—by way of a consent-driven workflow that tracks and manages slim permission lifecycles. By combining OAuth 2.1 compliance with semantic inspection, we are able to detect and block prohibited actions routinely, thereby conserving the person expertise fluent. Important actions would require a person’s express authorization to keep away from mishaps.

We’re doing this by extending the identical rules of zero belief to Agentic AI. Whether or not brokers are constructed in-house or outsourced, working on laptops, within the cloud, or in your individual knowledge facilities, and whether or not they want entry to SaaS, cloud, or on-prem purposes, Cisco’s Common Zero Belief Community (UZTNA) structure provides you the instruments you could undertake Agentic AI in your group.

On the coronary heart of our UZTNA is one easy fact: we should take an identity-first strategy to safety. Id transcends conventional know-how boundaries, supplying you with the power to determine insurance policies at a person degree for people, machines, companies—and now, Agentic AI. With this basis, the system can constantly monitor behaviors to differentiate ‘regular’ from ‘irregular’ in close to actual time, updating insurance policies accordingly.

Placing our UZTNA structure in motion, this implies Duo Id & Entry Administration (IAM) offers the authorization, Safe Entry does semantic inspection in order that the tip person doesn’t need to be prompted repeatedly for entry permission, AI Protection is invoked to guage that agent actions align with its goal, and Cisco Id Intelligence screens the actions and offers visibility. Collectively, they supply highly effective safety with out compromising Agentic AI adoption or expertise.

Increasingly, we’re going to see Agentic AI develop into an on a regular basis actuality—built-in into workstreams with the identical autonomy as a human however with the pace and scale of a machine. Whereas it represents boundless alternatives, the authorization and entry challenges need to be solved. With Cisco’s UZTNA structure, irrespective of who builds these brokers, the place they run, or what they should get the job completed, we are able to guarantee enterprise organizations have visibility and management throughout identification, authentication, authorization, entry, and analytics.

The way forward for AI is agentic—and with the proper safeguards in place, it will also be safe.

We’d love to listen to what you suppose! Ask a query and keep related with Cisco Safety on social media.

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