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UNDRESS AI PREMIUM: The Digital Frontier of Image Manipulation

Understanding the Technology

Undress AI describes a type of tool that uses artificial intelligence to remove clothes of individuals in images.

This technology has evolved rapidly in recent years.

Undress AI, a subset of artificial intelligence, is designed for digitally manipulating images by simulating the removal of clothing from individuals.

The technical implementation involves sophisticated algorithms.

The Undress AI Tool employs advanced segmentation algorithms to precisely delineate the contours of the user’s body, identifying areas such as clothing and skin.

Developers have created various platforms to deliver this technology.

RichestSoft has developed Undress.AI, one of the most advanced and user-friendly web applications for undressing any picture using an AI algorithm.

These systems operate on complex neural networks.

Undress AI refers to image-generation tools that simulate clothing removal using diffusion models and synthetic body prediction. These systems do not reveal actual anatomy but generate synthetic representations.

The Rise of Premium Services

In recent years, there has been an increase in AI Undress apps – Undress AI is a genre of apps that uses artificial intelligence to alter videos or images.

Premium tiers have become the standard business model.

Pricing: No free plan. Paid tiers range $9.99–$299.99: credits from 1,050–15,000 (credits never expire), priority processing, and max video capabilities.

Different platforms offer various subscription structures.

Undress.App pricing structure includes: NO PLAN (4 credits for $0), BASIC (15 credits for $11.99), STANDARD (90 credits for $24.99), and PREMIUM (600 credits for $47.99).

Some services focus on monthly subscription models.

Plus Plan: $9.59/month, Premium Plan: $15.19/month, Pro Plan: $21.59/month.

Annual commitments often provide better value.

Undress Zone Premium plan offers 500 Instant Credits & 25 Daily Credits with Monthly pricing at $39.99, Quarterly at $33.33, and Yearly at $19.99.

Enterprise-level services command premium pricing.

DRT.fm takes #1 position among undress AI platforms, with pricing starting at $19.99 with flexible pricing plans.

Credit-based systems dominate the market.

Undress.vip offers a credit-based pricing structure with four distinct tiers, ranging from a free plan to a premium subscription, with transparent pricing and usage limits.

Features That Define Premium Tiers

Premium users gain access to enhanced capabilities beyond basic functionality.

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Higher resolution outputs are a key premium feature.

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Advanced processing capabilities differentiate premium services.

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Some platforms bundle additional AI features.

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Ethical Concerns and Safety Issues

The technology raises significant ethical questions that cannot be ignored.

This has raised serious concerns among ethicists, lawmakers, and privacy advocates who warn that undress AI could be used for malicious purposes.

Consent and privacy violations are primary concerns.

No. There are a lot of concerns associated with Undress AI, such as Undress AI porn, the possibility of harassment, moral and legal issues.

The impact on individuals can be devastating.

Undress AI can lead to serious issues such as cyberbullying, harassment, and even sextortion. The misuse of these images can cause significant emotional and psychological harm.

Legal frameworks are struggling to keep pace.

AI deepfake undresser tools are becoming illegal. These tools all work by using deepfake technologies to undress the victim from an uploaded image, or depict them in sexually explicit clothing.

Parents and educators face new challenges.

Undress AI and other deepfake tools are part of a worrying trend where technology, serious risks to privacy, consent, and wellbeing meet.

The debate continues to evolve.

The Viral “Undress AI” Debate is Here! What happens when generative AI crosses the boundaries of privacy and ethics? Today, “Undress AI” represents a critical test case for AI regulation.

Technical Limitations and Realities

Despite advanced marketing claims, these tools have inherent limitations.

These systems do not reveal actual anatomy but generate synthetic representations based on training data.

Accuracy varies significantly across platforms.

Undress AI aims to do just that by utilizing advanced computer vision techniques to identify clothing items within images. It categorizes them before attempting removal.

Processing requirements impact user experience.

In simple terms, undress AI refers to an application of artificial intelligence designed to create or alter images, often making it appear as though clothing has been digitally removed.

Quality depends heavily on input images and algorithms.

One such technology is Undress AI, a tool that claims to use artificial intelligence to alter images in a way that simulates clothing removal with varying degrees of accuracy.

Safety Measures and Responsible Use

Developers are implementing safeguards to prevent misuse.

Ethical Considerations and Legal Risk Mitigation are now standard components of responsible Undress AI platform development.

Age verification and consent mechanisms are being introduced.

Deepfake technology that can undress anyone in any image has existed for years but it was mostly confined to niche websites, apps, or private forums until recently.

Platform policies are evolving rapidly.

It said that it “simply turns an AI feature that allows the creation of unlawful images into a premium service.” “While it may allow X to monetize the feature, it raises serious ethical questions.”

User education is critical for responsible adoption.

Undress AI describes a type of tool that uses artificial intelligence to remove clothes of individuals in images, but users must understand the legal and ethical implications.

Market Trends and Future Outlook

The industry is experiencing rapid growth and consolidation.

Recently there has been an increase in AI Undress apps – Undress AI is a genre of apps that uses artificial intelligence to alter videos or images with improving quality.

Competition is driving innovation in features.

This Undress AI review studies the leading Undress AI tools in 2025, highlighting features like multiple style options, HD realism, and competitive pricing strategies.

Regulatory pressure is increasing globally.

Undress.cc offers various pricing plans including a free basic version with limited features, while paid options start at $12.99/month, with premium tiers available for $22.99.

The technology continues to advance despite concerns.

Undress AI operates on generative adversarial networks (GANs) that have become increasingly sophisticated in recent years.

Consumer Protection and Legal Frameworks

Laws are being updated to address these emerging technologies.

AI deepfake undresser tools are becoming illegal in many jurisdictions. Here’s what you need to know about the legal landscape and protections available.

Victims have recourse through various legal channels.

“There Are No Limits!” This phrase captures the current state of AI undressing apps and the urgent need for ethical considerations and legal risk mitigation.

Platform accountability is increasingly important.

Undress.vip offers transparent pricing and usage limits while implementing safety features to prevent misuse of their technology.

International cooperation is essential.

The misuse of these images can cause significant emotional and psychological harm, requiring coordinated global responses to protect victims.

Technical Safeguards Implementation

Developers are incorporating protective measures into their platforms.

Key features include access to a range of templates and basic editing tools. Premium Features and Subscription Options provide enhanced capabilities with built-in safety protocols.

Watermarking and traceability features are being added.

Our plans include NO PLAN (4 credits for $0), BASIC (15 credits for $11.99), STANDARD (90 credits for $24.99), and PREMIUM (600 credits for $47.99) with varying levels of output protection.

User verification systems are becoming standard.

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Content filtering algorithms are improving.

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Industry Standards and Best Practices

Professional organizations are developing guidelines for responsible development.

Undress AI: The Future of Image Recognition and Ethical Considerations – this topic requires ongoing dialogue between technologists, ethicists, and policymakers.

Transparency in training data and limitations is crucial.

Undress AI is a deepfake tool that digitally removes clothing from images using AI. Learn how it works, its real uses, and the major ethical implications before adoption.

Consent verification mechanisms are being standardized.

In keeping with ethical standards, responsible platforms implement consent verification and usage tracking to prevent unauthorized applications.

Regular audits and compliance checks are becoming industry norms.

The Undress AI Tool employs advanced segmentation algorithms with built-in ethical safeguards to prevent misuse of the technology.

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The Rise of Undress AI: From Niche Apps to Mainstream Platform Abuse

The digital age has ushered in a disturbing new form of image-based abuse, moving from shadowy corners of the internet to the feeds of mainstream social media.

What is “Undress AI”?

At its core, the technology is deceptively simple. Undress AI describes a type of tool that uses artificial intelligence to remove clothes of individuals in images. While the manipulated image isn’t actually showing the victim’s real nude body, it can imply this, and perpetrators might use the images for sexual coercion, bullying, or as a form of revenge porn.

The Soaring Popularity of “Nudify” Services

This capability is not new, but its accessibility has exploded. Apps and websites that use artificial intelligence to undress women in photos are soaring in popularity. In September 2024 alone, 24 million people visited undressing websites, with links advertising these apps increasing more than 2,400% on social media. These services are part of a worrying trend of non-consensual pornography being developed and distributed because of advances in AI.

Grok AI Lowers the Barrier to Abuse

The problem reached a tipping point when integrated into a major platform. Paid tools that “strip” clothes from photos have been available for years, but Elon Musk’s X is now removing barriers to entry—and making the results public. X’s innovation – allowing users to strip women of their clothing by uploading a photo and typing a simple command – has lowered the barrier to entry dramatically. Unlike niche “nudify” software, Grok doesn’t charge the user, produces results in seconds, and is available to millions, helping to normalize the creation of nonconsensual intimate imagery.

A Flood of Non-Consensual Imagery

The scale of output is immense and continuous. Every few seconds, Grok is continuing to create images of women in bikinis or underwear in response to user prompts on X. A Reuters review of public requests tallied 102 attempts in a single 10-minute period to use Grok to digitally edit photographs of people into bikinis. The site is filling with AI-generated nonconsensual sexualized images of women and children.

The Human Cost: Trauma and Humiliation

Behind each algorithmically generated image is a real person facing profound harm. People using Grok to undress her in images on X left lecturer Dr. Daisy Dixon feeling “shocked”, “humiliated” and fearing for her safety. Musician Julie Yukari discovered nearly naked, Grok-generated pictures of herself circulating across X after users asked the chatbot to digitally strip her down to a bikini. For her, the new year “turned out to begin with me wanting to hide from everyone’s eyes, and feeling shame for a body that is not even mine”.

Legal Scrutiny and Platform “Solutions”

The international backlash has been swift, forcing reluctant platform action. Ministers in France have reported X to prosecutors over “manifestly illegal” sexual and sexist content, while India’s IT ministry demanded answers over the platform’s failure to prevent misuse. Under pressure, X announced that Grok will no longer be able to edit photos of real people to show them in revealing clothing in jurisdictions where it is illegal. However, critics note this change comes too late to undo the harm already done, and degrading images continue to be shared despite platform pledges to suspend users who generate them.

An Ongoing Battle for Accountability

Experts argue this crisis was both predictable and preventable. AI watchdog groups had warned that xAI’s image generation was essentially a nudification tool waiting to be weaponized. “This was an entirely predictable and avoidable atrocity,” said Dani Pinter of the National Center on Sexual Exploitation. While legislation is slowly emerging, the law struggles to keep pace with the technology. The creation of images involving children with their clothes removed is already illegal, but the law surrounding deepfakes of adults is more complicated. The story of Undress AI is a stark lesson in how easily powerful technology can be harnessed for harassment, and the immense difficulty of putting the genie back in the bottle.

The Rise and Reality of Undress AI Technology

Understanding the Technology

Undress AI is an advanced tool that uses artificial intelligence and machine learning algorithms to analyze and maliciously manipulate images.

Behind the scenes, these systems operate with sophisticated precision.

Undress AI or Undresser AI is an artificial intelligence tool that simulates undressing effects using deep learning models like Generative Adversarial Networks.

The technical foundation relies on extensive training data.

The technology behind AI undress tools relies heavily on machine learning algorithms trained on vast datasets containing countless images.

These systems identify and manipulate specific body areas.

The Undress AI Tool employs advanced segmentation algorithms to precisely delineate the contours of the user’s body, identifying areas such as clothing boundaries and skin exposure.

How these tools function in practice raises immediate concerns.

These tools all work by using deepfake technologies to undress the victim from an uploaded image, or depict them in sexually explicit clothing.

Ethical Implications and Privacy Violations

The ethical landscape surrounding these technologies is deeply troubling.

One of the most concerning aspects of undress AI is that it can be used to violate someone’s privacy without their knowledge or consent.

The violation of personal autonomy is at the core of the problem.

At its core, the violation stems from a lack of consent. Ethical frameworks across philosophy, law, and human rights emphasize autonomy and bodily integrity.

The consequences for victims can be devastating and far-reaching.

Perpetrators may keep these images for themselves or share them widely, potentially leading to sexual coercion (sextortion), bullying, abuse, or revenge porn.

The psychological impact cannot be underestimated.

Severe privacy violation: Victims may suffer psychological trauma, reputational harm, and other long-term consequences from non-consensual image manipulation.

These technologies disproportionately affect vulnerable populations.

One of the most tangible and widespread negative impacts has been the proliferation of undressing (or “nudify”) apps, which enable unskilled users to create non-consensual intimate imagery.

Legal Status and Regulatory Responses

The legal framework is rapidly evolving to address these threats.

By 2025, legislative bodies in the EU (via the AI Act) and several U.S. states have banned non-consensual Undress AI applications. However, enforcement remains challenging.

The penalties for misuse are becoming increasingly severe.

Using undress AI tools carries federal prison sentences of up to 30 years and fines reaching $250,000 under multiple federal statutes.

The question of legality depends entirely on consent and context.

No, not for real people without consent. In most countries, creating or sharing AI-generated explicit images without permission violates multiple laws.

New legislation is emerging to specifically target this technology.

As the TAKE IT DOWN Act comes into force coming up in May when Congress, to back up a minute, passed this law last May, May of 2025, one of the significant measures addresses digital exploitation.

Law enforcement is actively working to identify and prosecute offenders.

As more laws against undresser bots continue to come into force, our priority has been to pre-emptively identify and label crypto wallets used for these illegal transactions.

Societal Impact and Future Considerations

The intersection of technology and human rights requires careful examination.

The use of technology for this purpose violates human rights, such as non-discrimination and the right to privacy. This chapter aims to analyse the phenomenon of deepfake exploitation.

The capabilities that make these tools appealing also create significant risks.

The very capabilities that make Undress AI appealing also pose significant risks; the potential for abuse is high. Instances of deepfake exploitation continue to rise globally.

Parents and educators need to understand these emerging threats.

Undress AI and other deepfake tools are part of a worrying trend where technology, serious risks to privacy, consent, and wellbeing meet in dangerous combinations.

The rapid development of these technologies outpaces regulatory frameworks.

AI undress tools function by utilizing machine learning algorithms to analyze and manipulate images. They use data sets to understand visual patterns and human anatomy with increasing accuracy.

Moving forward requires a multi-faceted approach to protection.

This guide explains Undress AI, risks, legal implications, how to seeks help in US & EU, legal use cases for adults, how to avoid scams and legal tools to protect victims.

Conclusion: Balancing Innovation and Protection

The future of AI must prioritize human dignity and consent.

These searches were supplemented by violation of any laws or ethical considerations related to protecting individuals from non-consensual exploitation.

Society must establish clear boundaries for technological development.

That’s literally how regulation, law, and corporate accountability work – through establishing clear boundaries and consequences for crossing them.

The path forward requires both technological solutions and human wisdom.

Medical diagnostics deep learning algorithms improve the accuracy of X-rays, MRIs, and CT scans, enabling early disease detection and better patient outcomes, showing AI’s positive potential when used ethically.

The Reality of Undress AI: Technology, Ethics, and Law

What is Undress AI?

Undress AI represents a disturbing technological development that has captured global attention. “Undress AI describes a type of tool that uses artificial intelligence to remove clothes of individuals in images.” These applications operate using sophisticated algorithms that can transform ordinary photos. “These tools all work by using deepfake technologies to undress the victim from an uploaded image, or depict them in sexually explicit clothing.”

The Technology Behind It

At its core, this technology leverages advanced AI capabilities. “Deepfake technology leverages AI models to generate convincing digital forgeries by superimposing or altering facial expressions, voices, and body movements.” The sophistication of these tools continues to evolve rapidly. “Deepfakes are images, videos, or audio that have been edited or generated using artificial intelligence, AI-based tools or audio-video editing software.”

Ethical and Privacy Concerns

The implications for personal privacy are profound and alarming. “One of the most concerning aspects of undress AI is that it can be used to violate someone’s privacy without their knowledge or consent.” The potential for harm extends far beyond simple embarrassment. “Perpetrators may keep these images for themselves or share them widely, potentially leading to sexual coercion (sextortion), bullying, abuse, or revenge porn.”

The psychological impact on victims can be devastating. “Victims may suffer psychological trauma, reputational damage.” This technology represents a fundamental breach of personal boundaries. “Undress AI represents a disturbing trend where apps generate non-consensual nude images from clothed photos, raising serious ethical issues.”

Legal Landscape and Responses

Governments worldwide are beginning to take action against this technology. “The European Commission has been urged to confirm that AI applications used to undress people without their consent are banned in the EU.” Legislation is evolving rapidly as the threat becomes clearer. “The US Senate has passed the Defiance Act, which allows victims to sue over sexualized AI images generated without consent.”

The legal status varies significantly across different regions. “Legal Risks Associated With Undress AI. Many jurisdictions classify” Many countries have already implemented restrictions. “Many countries have enacted laws restricting or banning Undress AI, especially concerning non-consensual image manipulation.”

The Path Forward

As this technology continues to evolve, so too must our protections. “Laws vary by region, but the trend is clear.” The consensus among experts is that consent must be paramount. “Use on images you own or have consent to edit.”

The battle against non-consensual AI manipulation is just beginning. “AI deepfake undresser tools are becoming illegal.” Society must grapple with the balance between technological advancement and human dignity. “The accessibility of Undress AI online has raised serious questions about digital ethics.”


References

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The Evolution and Reality of IPTV: A Digital Broadcasting Revolution

What Exactly is IPTV?

IPTV represents a fundamental shift in how we consume television content. IPTV is defined as the secure and reliable delivery of entertainment video, live streams and related services across an IP data network. Unlike traditional broadcast methods, IPTV refers to the delivery of television content over Internet Protocol (IP) networks. This modern technology lets you see television content on the Internet rather than through conventional cable or satellite formats.

The technical foundation is surprisingly sophisticated yet accessible. IPTV is just a way to deliver television or video content to viewers via the internet. An IPTV service is a capable platform for broadcasting live TV channels to people’s homes. They’re fast, reliable, and recognizable for most users seeking alternatives to traditional television.

The Technology Behind the Screens

Understanding IPTV requires examining its underlying architecture. It has four key components: a head end for receiving content, middleware for managing streams, a broadband transport network, and client equipment like set-top boxes. The technical architecture of IPTV mainly includes three parts: content acquisition and production, the content transmission network, and user terminals.

Streaming efficiency sets IPTV apart from conventional broadcasting. IPTV uses unicast or multicast streaming, transmitting only requested content instead of all channels simultaneously. This approach contrasts sharply with traditional television distribution methods. Various protocols enable this seamless delivery. Protocols such as RTSP, RTP, HTTP, and UDP play distinct roles in facilitating real-time streaming, on-demand content delivery, and live event broadcasting. In standards-based IPTV systems, the primary underlying protocols used are IGMP version 2 for connecting to multicast streams and TV channels.

Market Momentum and Growth Trajectory

The numbers reveal an industry in explosive growth. It will grow from $162.37 billion in 2024 to $189.25 billion in 2025 at a compound annual growth rate (CAGR) of 16.6%. The size of the IPTV market has seen rapid expansion in recent years, increasing from $160.44 billion in 2024 to an estimated $187.01 billion in 2025. This remarkable expansion signals a fundamental shift in consumer viewing habits.

Regional variations show global adoption patterns. Europe’s IPTV market is forecasted to reach USD 20,000 million by 2025, capturing approximately 23.1% share and growing at a CAGR of 15.2%. The global IPTV market is projected to reach between USD 60 billion and USD 80 billion in 2025, with a compound annual growth rate (CAGR) of 12% to 17% through the forecast period. This growth trajectory suggests IPTV is becoming mainstream rather than niche.

Legal Landscape and Copyright Concerns

The legal framework surrounding IPTV remains complex and evolving. This article examines a number of UK copyright law issues relevant to providers and users of IPTV services. For content to be legally distributed via IPTV, the service provider must secure explicit permission or licenses from the copyright holders. Without proper licensing, services face severe consequences.

Copyright enforcement has intensified globally. One IPTV service was sentenced to over five years in prison for copyright infringement. The platform served more than 20,000 users and generated millions in illegal revenue. Under the Digital Economy Act (2017), using, selling and providing illegal IPTV services and devices constitutes copyright infringement. Users must understand the legal implications of their streaming choices.

The distinction between legal and illegal services is crucial. The use of illegal IPTV services is a direct violation of copyright laws that protect the intellectual property of content creators and providers. Illicit streaming is the distribution and watching of content without the copyright owner’s permission. This legal clarity helps consumers make informed decisions about their entertainment options.

Benefits and User Experience

The advantages of legitimate IPTV services are compelling. One of the biggest benefits of IPTV is its ability to provide a more interactive and personalized viewing experience. Users can pause, rewind, and record their favorite shows with unprecedented flexibility. This control transforms passive viewing into active engagement.

Accessibility and device compatibility enhance user satisfaction. One of the most significant advantages of IPTV is the flexibility it offers. Users are not confined to watching TV on a specific device or location. With a strong Internet connection via Wi-Fi or mobile data, viewers can access content anywhere. This mobility represents a fundamental change from traditional television constraints.

Quality and reliability remain key differentiators. The advantage of IPTV is it is a very smooth streaming service. The viewers can record their show if they missed it by chance. IPTV is a versatile technology that offers efficient content delivery, scalability, a wide range of channels, and interactive capabilities. These features collectively create a superior viewing experience compared to conventional alternatives.

The Future of Television Delivery

IPTV represents more than just technology—it’s a paradigm shift. Its advantages, ranging from content accessibility and flexibility to cost-efficiency and interactivity, make it a formidable force in the entertainment industry. IPTV subscriptions provide a wide range of benefits, including an unlimited content material library, customization options, and high-quality streaming. As the market continues its explosive growth, IPTV is poised to redefine how we experience television content in the digital age.

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What is Figshare and How Does It Work?

Figshare’s repository solutions help researchers and organizations manage their research outputs in a discoverable, citable, reportable and transparent way. It is a place to share, showcase and manage your research outputs. You can upload all of your research outputs to Figshare. When you make your research outputs publicly available, you can choose the type of research that you are sharing. This includes, but is not limited to, tabular data, images, video, presentations, posters, code, book chapters, and more. When you publish on Figshare your data is given a Digital Object Identifier (DOI) to help you track the attention, reuse, and potential impact of your research.

The Importance of Metadata in Figshare

 

Effective use of Figshare relies on comprehensive metadata. Figshare metadata is based on the DataCite schema. In order to meet with DataCite metadata requirements, Figshare requires users to add the following information before making files public and citable: Title, author list (ordered), categories (set ontology), tags (free text) and a description with as much context as needed to interpret the files. The more information you include in your metadata, the more likely it is your research will be found by others and the more likely it is that they will be able to reuse and cite your work. Metadata for an Item, Collection, or Project is available in JSON format from the API.

Best Practices for Sharing Research Outputs

 

Following best practices enhances the visibility and reusability of your work. Sharing research data on Figshare can help promote your research and raise your profile as a researcher. It has also been reported that, ‘sharing detailed research data is associated with increased citation rate’ for published articles. Make your research outputs FAIR. Research outputs that are FAIR are Findable, Accessible, Interoperable, and Reusable. It is important to check that you have the right to publish your data openly. Ensure that any and all sensitive or private information has been anonymized / de-identified.

A key best practice is to include thorough documentation. Include a README file in your upload that contains all the necessary information to enable somebody else to understand your outputs, re-create your results, and/or reuse it ethically. Ensure that your outputs include all files, code, and anything else that is necessary in order for another person to recreate your analysis, or validate your results. Use a consistent and descriptive file naming convention.

Figshare Plus for Larger Datasets

 

For datasets exceeding standard limits, Figshare offers a specialized service. Figshare Plus was created specifically to support larger datasets (over the 20GB figshare.com limit, up to many TBs) and larger file sizes together with more metadata, license options, and expert support and review. It can help you meet research funder or publisher requirements for data sharing so that you can include dataset DOIs in articles and data availability statements.

To use Figshare Plus, researchers must meet specific criteria. For your order request form to be approved, your planned data deposit must support ONE specific scholarly publication or a specific research project, be your own scholarly research output, and be submitted for review and publication within 12 months of your order request. An ORCiD is required for the submitting author to publish on Figshare Plus.

Technical Specifications and Integration

 

Figshare is designed to handle a wide variety of research outputs. File Size Limit: System-wide limit of 5TB per file. Dataset Size Limit: 20GB of private data files. All file types are accepted. Some file types are rendered in the browser page. figshare offers preservation backed by CLOCKSS, a highly trusted, community-governed archive used by repositories around the world.

The platform integrates with publishers and editorial workflows. Figshare integrates with major editorial systems, enabling you to offer seamless open data and supplemental materials sharing as part of your submissions process. Publishers who have integrated their editorial workflow with figshare may have additional user access controls enabled to allow the journal’s editors and reviewers to have anonymous and secure access to files before they are made public.

Ensuring Discoverability of Published Content

 

A major benefit of Figshare is increasing the discoverability of research. Figshare strives to have all content of type journal contribution, conference contribution, chapter, report, monograph, thesis, book, and preprint indexed by Google Scholar. This required implementing a number of guidelines, as outlined by Google. Moreover, Figshare has been in direct contact with the Google team to ensure that all guidelines have been correctly implemented and that the records can be crawled by the Scholar.

References

 

  1. Figshare Metadata Schema Overview. https://info.figshare.com/user-guide/figshare-metadata-schema-overview/
  2. How to fill in the metadata fields (first step). https://info.figshare.com/user-guide/how-to-fill-in-the-metadata-fields-first-step/
  3. How can Figshare help my research? https://info.figshare.com/user-guide/how-can-figshare-help-my-research/
  4. figshare | Data Management. https://datamanagement.hms.harvard.edu/share-publish/data-repositories/figshare
  5. Using Figshare to Archive Supplemental Information. https://asabe.org/figshare
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Vitamin D: Clinical Evidence for Health Benefits

Bone Health and Musculoskeletal Effects

Clinical trials have shown that vitamin D and calcium supplements may increase bone mineral density in some postmenopausal women and older adults. Two meta-analyses of randomized controlled trials have shown that taking high doses of vitamin D reduced fall risk by 19% and bone fracture risk by between 15%. Vitamin D supplementation can prevent and cure nutritional rickets in infants and children. Deficient or insufficient levels of vitamin D can cause rickets in children, osteoporosis in older adults, and osteomalacia in the elderly.

Cancer Prevention and Treatment

The evidence that vitamin D can reduce the risk of cancer incidence and mortality rates is robust. The VITAL trial also found that high-dose vitamin D supplements (2,000 IUs daily) taken over 5 years reduced the risk of advanced cancer—cancer. This review emphasizes the findings from prospective cohort studies showing that higher 25(OH)D concentrations reduce the risks of major diseases and mortality.

Cardiovascular and Metabolic Health

Systematic reviews and meta-analyses of RCTs have indicated that vitamin D supplementation improves several cardiovascular risk factors, including a significant. Evidence links vitamin D deficiency to chronic health issues such as metabolic syndrome, cancer, autoimmune diseases, inflammation, and mental health disorders.

Mental Health Benefits

Overall, the evidence suggests that vitamin D supplementation is of benefit for patients with depression, in particular those with VDD.

References Used: Grant WB. Vitamin D: Evidence-Based Health Benefits and. 2025. Grant WB. Vitamin D: Evidence-Based Health Benefits and. 2024. Grant WB. Vitamin D: Evidence-Based Health Benefits and. 2025. Vitamin D – Health Professional Fact Sheet Vitamin D: A Review of Clinical Use and Efficacy. 2022. Benefits of Vitamin D Vitamin D: Evidence and Controversies Bouillon R. The health effects of vitamin D supplementation: evidence. 2022. Albasheer O. Effects of vitamin D supplementation on symptoms and clinical. 2025. Unveiling the Power of Vitamin D: Key Insights into its Role.