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Transforming Healthcare with AI Chatbot Development Services

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Metaverse Digital Real Estate From Virtual Land to Revenue Generating Assets

Key Takeaways:

  • Virtual health assistants enable 24/7 patient engagement, improving accessibility and response times across healthcare services.
  • AI chatbots in healthcare streamline administrative workflows, reducing staff workload and operational costs.
  • AI chatbots for patient support enhance triage accuracy, appointment management, and follow-up care.
  • AI-powered healthcare assistants help healthcare providers achieve measurable cost reduction while improving care quality.
  • Partnering with a trusted AI Chatbot development Company ensures secure, compliant, and scalable deployments.

Investing in professional AI Chatbot Development Services positions healthcare organizations for long-term efficiency, patient satisfaction, and digital transformation.

In a healthcare environment that struggles with rising costs, stretched clinical resources, and demanding patient expectations, technology has never been more crucial. Among these, virtual health assistants powered by AI chatbots in healthcare are revolutionizing how care is delivered, experienced, and managed. Their rapid growth reflects a broader shift toward AI-powered healthcare assistants that enhance clinical workflows, improve patient engagement, and provide real-time support 24/7. As healthcare providers and administrators seek scalable, efficient solutions, AI Chatbot Development Services are emerging as strategic investments for modern health systems.

Understanding Virtual Health Assistants and Healthcare AI Chatbots

At their core, virtual health assistants are intelligent software applications designed to interact with users in natural language, typically through text or voice interfaces. These systems leverage advanced technologies such as natural language processing, machine learning, and cognitive computing to simulate human-like conversations and perform specific healthcare-related tasks with speed and precision.

In the healthcare domain, healthcare AI chatbots go far beyond simple FAQ responses. They are designed to support clinical workflows, enhance patient engagement, and automate routine processes.

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Key capabilities include:

  • Symptom evaluation and intelligent triage recommendations
  • Appointment scheduling, confirmations, and automated reminders
  • Personalized health guidance and medication follow-ups
  • Patient education and chronic condition monitoring
  • Seamless integration with Electronic Health Records (EHRs) for contextual interactions

As AI capabilities continue to evolve, these solutions increasingly function as AI healthcare assistants for cost reduction, enabling healthcare providers to scale patient interactions efficiently while maintaining quality, personalization, and compliance.

Why Healthcare Needs AI Chatbots

To understand the urgency behind this shift, it is essential to examine the structural challenges facing healthcare organizations today, beginning with the most pressing issue: rising operational and administrative costs.

2.1 Addressing Rising Healthcare Costs

Healthcare spending continues to escalate globally. Traditional models struggle to balance patient demand with resource constraints. AI chatbots for patient support help lower operating expenditures by automating repetitive tasks such as scheduling, triage, billing queries, and patient education. According to recent industry analyses, integrating AI automation can significantly reduce administrative costs while freeing staff to focus on high-value clinical work.

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For example, administrative burdens such as appointment confirmations and registration can siphon significant clinical time. Automating these through AI contributes to both cost reduction and operational efficiency; a top priority for providers facing workforce shortages and burnout.

2.2 Enhancing Access and Patient Experience

One of the greatest advantages of AI chatbots in healthcare is accessibility. Unlike human staff who work limited hours, AI virtual assistants are available 24/7, delivering instant responses. This constant availability enhances patient experiences and fosters trust, particularly in underserved or remote populations where access to healthcare providers is limited.

Patients increasingly expect digital responsiveness and convenience; trends amplified by mobile health, telemedicine, and consumer preferences for self-service options. Virtual assistants deliver on this expectation, offering personalized interactions that adapt to each patient’s needs.

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High-Impact Use Cases of AI Chatbots in Healthcare

While the strategic need for AI is clear, its true value becomes evident when examining how these intelligent systems function in real-world healthcare environments. From patient-facing interactions to backend clinical workflows, AI chatbots are delivering measurable outcomes across multiple touchpoints.

3.1 Patient Support and Self-Service Triage

One of the most direct applications of AI chatbots for patient support is symptom assessment and initial triage. Patients can enter symptoms in natural language, and virtual assistants provide guidance on urgency, suggested actions, or recommended care paths. Research shows that advanced AI systems can outperform traditional symptom checkers by significant margins, accurately suggesting specialist referrals and reducing unnecessary clinical visits.

Patient-facing bots also help:

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  • Reduce emergency room congestion for non-urgent cases
  • Educate patients on symptom management
  • Provide follow-up check-ins after discharge

These functions significantly elevate patient empowerment and reduce unnecessary clinical workload.

3.2 Appointment Management and Patient Engagement

AI bots revolutionize the traditionally clerical task of appointment scheduling. From booking to confirmation, cancellation, and reminders, chatbots reduce no-show rates and improve clinic flow. Connected with EHR systems, they can adjust schedules in real time, notify patients of delays, and handle changes seamlessly.

This automated scheduling capability improves clinic efficiency and patient satisfaction – leading to revenue improvements and smoother operations.

3.3 Remote Monitoring and Chronic Care Support

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Virtual health assistants increasingly integrate with remote monitoring technologies and wearables. Patients with chronic conditions such as diabetes, hypertension, or heart disease benefit from continuous monitoring and timely follow-ups. AI bots can alert care teams when vital signs trend dangerously, ensuring timely intervention and reducing hospital readmissions.

This ongoing engagement supports improved adherence to care plans, medication compliance, and lifestyle modifications; all critical for long-term health outcomes.

3.4 Behavioral Health and Wellness Guidance

While regulated clinical diagnosis and treatment remain the purview of licensed practitioners, AI systems provide supplemental support for emotional wellness and mental health education. They offer stigma-free, immediate responses, mood tracking, and wellness tips. However, recent regulatory scrutiny in some regions warns against relying exclusively on AI for therapeutic care without licensed oversight.

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This highlights the need for an AI Chatbot development Company to implement guardrails, ethical guidelines, and escalation pathways to human professionals when needed.

The Business Case for Healthcare AI Chatbots: ROI and Cost Reduction

While innovation and patient experience matter, healthcare leaders evaluate technology based on measurable ROI and operational efficiency. AI-driven automation is not just an upgrade; it is a strategic investment in financial sustainability.

4.1 Measurable Cost Savings

Experts estimate that AI-driven automation will save healthcare systems billions annually by 2025 through reductions in administrative overhead and improved operational efficiency. Automating frontline interactions reduces reliance on call centers and manual scheduling, minimizing labor costs and human error.

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Real financial impacts include:

  • Lower staffing requirements for routine inquiries
  • Reduced emergency room congestion
  • Fewer missed appointments
  • Better resource utilization

These efficiencies directly support improved margins and the ability to reallocate investment toward patient-centric care.

4.2 Reducing Diagnostic and Clinical Delays

Through continuous engagement and data collection, AI tools augment early detection and proactive interventions. Some studies demonstrate that intelligent systems maintain high accuracy rates in symptom assessment thus improving triage accuracy and timely referrals.

By reducing diagnostic delays and unnecessary escalations, virtual assistants contribute to better patient outcomes, fewer complications, and lower long-term care costs.

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How to Successfully Build and Deploy Healthcare AI Chatbots

Implementing AI chatbots in healthcare is not just a technology upgrade; it is a strategic transformation initiative. From regulatory compliance to clinical validation, healthcare organizations must ensure that their virtual health assistants are secure, accurate, and aligned with operational workflows. A structured, phased approach minimizes risk, ensures stakeholder buy-in, and maximizes return on investment.

5.1 Partnering with an AI Chatbot Development Company

Choosing the right AI Chatbot development Company is one of the most critical decisions in your AI journey. Healthcare is a highly regulated, data-sensitive industry; generic chatbot vendors often lack the compliance, interoperability, and domain expertise required for safe deployment.

An experienced partner offering specialized AI Chatbot Development Services should provide:

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1. Healthcare Domain Expertise

Healthcare AI systems must understand:

  • Clinical terminology and workflows
  • Patient journey mapping
  • Care coordination processes
  • Regulatory constraints

A qualified partner ensures that healthcare AI chatbots are clinically contextual, not just conversational.

2. Seamless EHR & System Integration

A chatbot that cannot integrate with your existing systems becomes a silo.

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Your development partner must support:

  • Integration with legacy EHR platforms (Epic, Cerner, etc.)
  • Secure API connectivity
  • Interoperability standards like HL7 and FHIR
  • Real-time data synchronization

This enables AI chatbots for patient support to access appointment schedules, patient histories, and care plans securely.

3. Compliance-First Architecture

Healthcare AI must meet strict regulatory standards such as:

  • HIPAA (US)
  • GDPR (EU)
  • Local health data protection regulations

A trusted AI Chatbot development Company builds:

  • End-to-end encryption
  • Role-based access controls
  • Audit logs and traceability
  • Secure cloud or on-premises deployment models

Security is not an add-on; it must be foundational.

4. Customization for Clinical Workflows

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Every healthcare organization operates differently. Your chatbot should support:

  • Custom triage protocols
  • Specialty-specific logic (cardiology, oncology, pediatrics, etc.)
  • Automated escalation rules
  • Multilingual patient engagement

This level of customization ensures your AI-powered healthcare assistants align with real-world operations.

5. Ongoing Optimization & Analytics

Deployment is just the beginning.

A strategic partner should provide:

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  • Usage analytics dashboards
  • Performance monitoring
  • Continuous model improvement
  • Bias detection and accuracy validation

AI systems must evolve with patient behavior and regulatory changes.

5.2 Best Practices for Development and Deployment

Building effective AI chatbots in healthcare requires more than technical implementation; it demands clinical validation, operational alignment, and structured rollout strategies.

Here are proven best practices:

1. Conduct Clinical Validation and Pilot Testing

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Before full-scale deployment:

  • Run controlled pilot programs
  • Validate triage accuracy with medical professionals
  • Test escalation pathways
  • Simulate edge-case scenarios

This ensures patient safety and builds clinician confidence in the system.

2. Involve Stakeholders Early

Successful adoption depends on collaboration between:

  • Clinicians
  • IT teams
  • Compliance officers
  • Administrative staff
  • Patient representatives

Early involvement prevents resistance and ensures the chatbot supports real operational needs rather than theoretical workflows.

3. Implement Phased Rollouts

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Instead of launching across the entire organization at once:

  • Start with a single department
  • Measure engagement and accuracy
  • Collect clinician feedback
  • Optimize before expansion

Phased deployment reduces risk and improves long-term adoption rates.

4. Design for Multi-Channel Accessibility

Modern patients interact across platforms. Your virtual health assistants should support:

  • Mobile apps
  • Web portals
  • SMS integration
  • Voice interfaces
  • Patient portals

Multi-channel deployment improves accessibility and increases engagement.

5. Build Human-in-the-Loop Escalation

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AI should augment, not replace clinical expertise.

Effective systems include:

  • Clear escalation to live agents
  • Emergency redirection protocols
  • Transparent AI disclaimers
  • Real-time clinician override options

This hybrid model ensures patient safety while maintaining automation efficiency.

6. Measure ROI and Patient Impact

To justify investment in AI healthcare assistants for cost reduction, organizations should track:

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  • Reduction in call center volume
  • Decrease in appointment no-shows
  • Patient satisfaction scores
  • Average response time improvements
  • Reduction in administrative workload

Quantifiable metrics strengthen the business case and support future AI expansion initiatives. Partnering with an experienced provider of AI Chatbot Development Services ensures your organization moves beyond experimentation and toward secure, compliant, and scalable digital transformation.

Start Your AI Chatbot Development Project!

The Future of Virtual Health Assistants and AI Chatbots

Looking ahead, the evolution of AI chatbots in healthcare is poised to bring even more sophisticated capabilities:

  • Emotionally intelligent conversations with sentiment and affect interpretation
  • Multilingual support to serve diverse populations
  • Predictive analytics for preventative care planning
  • Integration with advanced wearables and AI diagnostics tools

Industry forecasts anticipate accelerated adoption as healthcare systems seek smarter, scalable solutions to meet patient expectations and operational demands.

Shaping the Next Era of Patient-Centric Healthcare with AI

As healthcare transforms rapidly, virtual health assistants and AI healthcare chatbots are fundamental to modern care delivery. They drive cost reduction, improve patient access and satisfaction, support clinical staff, and build efficiencies that traditional systems struggle to achieve. Whether you’re a hospital system, clinic, insurer, or health tech provider, investing in AI Chatbot Development Services supported by a trusted AI Chatbot development Company can unlock substantial value and future-proof your patient engagement strategies.

Antier is a leading AI Chatbot development Company delivering secure, scalable, and compliance-ready services tailored for the healthcare ecosystem. We empower providers with intelligent virtual health assistants that enhance patient engagement, streamline operations, and drive measurable cost efficiency.

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KuCoin Ordered to Block US Traders and Pay $500,000 CFTC Penalty

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KuCoin Ordered to Block US Traders and Pay $500,000 CFTC Penalty

The CFTC has fined Peken Global Limited – the KuCoin operating entity – $500,000 and issued a permanent injunction barring the exchange from serving U.S. traders, closing a civil enforcement loop that began with a March 2024 complaint against the platform for running an unregistered futures commission merchant and swap execution facility.

The order mandates active blocking of U.S. user access, not merely a policy update – KuCoin must implement technical controls to prevent American traders from opening accounts or accessing derivatives products.

That requirement, paired with the $297 million the exchange already forfeited under a January 2025 DOJ guilty plea, makes this one of the most consequential offshore exchange enforcement sequences in CFTC history.

Key Takeaways:
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  • Penalty Amount: $500,000 civil fine levied against Peken Global Limited by the CFTC
  • Restriction Scope: Permanent injunction barring KuCoin from onboarding or serving U.S. traders across spot and derivatives products
  • Prior Resolution: $297 million in penalties and forfeitures under January 2025 DOJ guilty plea; 1.5 million registered U.S. users generated at least $184.5 million in fees
  • Precedent Signal: CFTC isolated liability to Peken Global; claims against Mek Global, PhoenixFin, and Flashdot were dismissed in the final order

What the CFTC Order Actually Requires – and What the $500K Kucoin Charge Covers

The CFTC’s civil complaint, filed March 26, 2024, in the U.S. District Court for the Southern District of New York, charged KuCoin’s operators with violating the Commodity Exchange Act across a four-year window – July 2019 to June 2023 – by operating as an unregistered futures commission merchant and swap execution facility without the required CFTC registration.

The complaint also alleged sham KYC procedures: KuCoin publicly claimed U.S. users couldn’t access the platform while simultaneously allowing them through via VPN with no IP-level restrictions in place.

The final order isolates the $500,000 civil monetary penalty to Peken Global Limited – the entity the CFTC determined held primary operational liability. Claims against affiliated entities Mek Global Limited, PhoenixFin PTE Ltd., and Flashdot Limited were dismissed.

Source: CFTC

That distinction matters: the CFTC is not pursuing a blanket penalty across the corporate structure but targeting the specific operator responsible for U.S.-facing derivatives access.

CFTC Enforcement Director Ian McGinley framed the issue directly: “For too long, some offshore crypto exchanges have followed a now-familiar playbook by offering derivative products and falsely claiming people in the United States cannot use their platforms.” The $500,000 fine covers the civil derivatives violations – it is separate from, and much smaller than, the $297 million resolved through the parallel DOJ criminal track.

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Discover: Best Crypto Exchanges for Active Traders in 2026

What U.S. Traders Actually Lose – and How This Compares

The injunction covers the full scope of KuCoin’s U.S.-facing access – derivatives trading, account creation, and ongoing service to existing American accounts.

KuCoin had roughly 1.5 million registered U.S. users before its partial July 2023 KYC rollout, which itself was triggered by knowledge of the federal probe and excluded millions of existing users. Those accounts are now subject to forced exit under the permanent bar.

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Top 5 traded crypto by volume on Kucoin

The products at stake are not marginal. KuCoin offered leveraged perpetual futures and margin trading – the same derivatives categories that put BitMEX and, later, Binance in the CFTC’s crosshairs.

For active traders who relied on KuCoin for offshore derivatives access, the injunction closes that channel permanently, not provisionally. There is no compliance pathway back to U.S. market access under this order.

The practical consequence is straightforward: U.S. traders holding open positions or balances on KuCoin need to treat this as a wind-down event, not a temporary disruption.

The broader question – whether centralized exchange platforms serving U.S. users can sustain their market share amid accelerating enforcement – is now sharper than ever.

Discover: Top Crypto Presales to Watch Before They Launch

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The post KuCoin Ordered to Block US Traders and Pay $500,000 CFTC Penalty appeared first on Cryptonews.

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Trump’s ‘Stone Ages’ Threat Sends Bitcoin Below $67K

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President Donald Trump delivered his first prime-time address on the Iran war on Wednesday night. He told the nation that “core strategic objectives are nearing completion.” He then promised to escalate.

Oil was falling when Trump started talking. It was up 5% by the time he stopped — and that tells the whole story.

Markets Expected Peace. They Got ‘Stone Ages.’

“We are going to hit them extremely hard over the next two to three weeks,” Trump said. “We’re going to bring them back to the Stone Ages, where they belong.”

The speech lasted 19 minutes. It contained no new information, no timeline to end the war, and no plan to reopen the Strait of Hormuz. Markets had spent two days rallying on hopes that Trump would announce an off-ramp. Instead, he promised more bombs.

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Brent crude surged 5% to above $106 per barrel. West Texas Intermediate jumped 4.1% to $104. The S&P 500 futures fell 1.1%. European futures dropped 1.5%. Gold lost 1.4% to $4,691 per ounce. Silver fell 3%. The 10-year Treasury yield climbed to 4.36%.

Bitcoin dropped from an intraday high of $69,135 to $66,818, a 3.3% decline. Ethereum fell 2.8% to $2,084. The entire two-day relief rally in crypto evaporated in a single evening.

Asia took the hardest hit. South Korea’s KOSPI fell 3.5%, the worst performer in the region. Japan’s Nikkei lost 1.8%. Hong Kong’s Hang Seng dropped about 1%.

‘Just Take It’ — Trump Tells Allies to Secure Hormuz

Trump said the Strait of Hormuz would “open up naturally” once the war ends. He urged oil-importing nations to “build some delayed courage” and secure the waterway themselves. He did not explain how or when that might happen.

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Hours earlier, at a White House Easter lunch, Trump was more blunt. He said the US could “just take their oil,” but added that Americans lack “the patience” for it. He also named South Korea, Japan, and China directly, telling each to step up on Hormuz.

That message landed hard in Seoul. The KOSPI’s 3.5% decline reflected both energy import vulnerability and the shock of being singled out by the US president.

Trump also dropped his April 6 deadline threat to bomb Iran’s power grid. He made no mention of NATO, ground troops, or ongoing negotiations. The absence of specifics was itself a signal. Investors had hoped for clarity. They received ambiguity.

Iran Holds Firm, Toll Booth Stays Open

Iran showed no interest in backing down. Foreign Minister Abbas Araghchi said there are no direct negotiations with Washington and that Tehran’s trust in the US stands at zero. President Masoud Pezeshkian posted an open letter in English asking Americans which of their interests this war truly serves.

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Meanwhile, Iran’s parliament continues working on legislation to make its Hormuz toll system permanent. The IRGC already charges vessels up to $2 million per transit, settled in stablecoins or Chinese yuan. If codified into law, this regime would outlast any ceasefire.

That is the gap the market is now pricing in. Trump says the strait will open naturally. Iran is building a toll booth designed to last forever. Oil traders, bond traders, and crypto traders all reached the same conclusion Wednesday night: this war is not ending soon.

The post Trump’s ‘Stone Ages’ Threat Sends Bitcoin Below $67K appeared first on BeInCrypto.

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Hyperliquid price forms a bullish flag as golden cross looms, will it breakout?

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Hyperliquid price has formed a bullish flag pattern on the daily chart.

Hyperliquid price is close to confirming multiple bullish patterns as futures traders show increased interest in the token.

Summary

  • Hyperliquid price has risen up 22% over the past month, supported by rising open interest and increased futures market activity.
  • Growth in commodity perpetuals and event-based contracts, alongside rising trading volumes, has boosted token demand through increased burn mechanisms.
  • Technical setup shows a bullish flag and a potential golden cross, with upside targets near $44, while a drop below $34.8 could invalidate the bullish outlook.

According to data from crypto.news, Hyperliquid (HYPE) price was trading at $36.9, up 22% over the past month and 78% higher than its year-to-date low.

Hyperliquid price rallied as it witnessed a massive surge in real-world asset trading volumes.

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Notably, following the implementation of HIP-3, which expanded the protocol capabilities, investors can now trade decentralized perpetual contracts on commodities like gold, silver, and crude oil.

Amidst escalating tensions in the Middle East, a massive jump in volume was observed in Hyperliquid’s 24/7 crude oil perpetuals, which topped $1 billion in a single day in March.

Unlike traditional markets, Hyperliquid provides round-the-clock access to its commodity markets, making it a pressure valve for macro traders amidst geopolitical events that often unfold over the weekend.

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Furthermore, the project’s expansion into prediction markets from its introduction of event-based contracts has added another layer of utility and attracted fresh participants who can now trade on the outcome of real-world events natively alongside their futures positions.

In the last 24 hours, open interest on Hyperliquid hit over $1.61 billion. A surge in open interest suggests more active participation from traders and is a sign that the current trend has significant backing.

The HYPE token has also benefited from increased trading volumes. Trading volumes on the platform have hit a record high of over $2.4 billion.

As Hyperliquid’s Assistance Fund uses up to 97% of protocol fees to buy back and burn HYPE tokens, the latest surge has significantly increased the burn rate of tokens and hence has helped drive the asset price higher through deflationary pressure.

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On the daily chart, Hyperliquid price has formed a bullish flag pattern after a steep vertical move known as a pole, followed by a brief period of consolidation. A bullish flag is one of the most well-known bullish continuation patterns in technical analysis.

Hyperliquid price has formed a bullish flag pattern on the daily chart.
Hyperliquid price has formed a bullish flag pattern on the daily chart — April 1 | Source: crypto.news

It is also close to confirming a golden cross, which occurs when the 50-day SMA crosses over the 200-day SMA. Traders view such pattern confirmations as a major signal of long-term trend reversal and sustained buying momentum.

Hence, if a golden cross is confirmed, Hyperliquid price would likely confirm the bullish flag pattern, which would propel it toward the upside of $44, the highest point of the flag formation. A breakout above it could set the stage for a push toward new all-time highs.

On the contrary, if Hyperliquid price drops below the 200-day SMA at $34.8, the bullish thesis would be invalidated and could lead to further downside.

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Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

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Crypto Scam Leader Extradited to China to Face Charges

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Crypto Scam Leader Extradited to China to Face Charges

Li Xiong, a key member of a group that allegedly helped crypto scam rings in Asia to move money, has been extradited from Cambodia to China, where he will face fraud and money laundering charges, according to Hong Kong-based news outlet Ta Kung Wen Wei.

On April 1, with strong support from the relevant authorities in Cambodia, a task force sent by China’s Ministry of Public Security successfully escorted Li Xiong, a core key member of the Chen Zhi criminal syndicate, back to China from Phnom Penh, Cambodia,” it said on Wednesday, citing a statement from China’s Ministry of Public Security on WeChat.

Xiong previously served as chairman of Huione Group, an alleged criminal organization that served scam centers in Cambodia that carried out “pig butchering” scams and other investment schemes to steal crypto from victims around the world. 

Huione Group was responsible for one of the largest illicit online marketplaces in the world, handling over $89 billion in cryptoassets.

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Source: Jacob in Cambodia

His extradition comes three months after the arrest of Chen Zhi, the head of Prince Group, which operates Huione Group. In October, it was reported that the US Department of Justice seized 127,271 Bitcoin (BTC) worth more than $15 billion from Zhi.

Related: Hong Kong retiree loses $840K in triple ‘crypto expert’ scam

The US Treasury Department’s Financial Crimes Enforcement Network directed US banks to cut payments and accounts tied to the Huione Group in October.

Authorities ask other Huione members to surrender

Ta Kung Wen Wei noted that several other members of Zhi’s criminal syndicate have been brought to justice “one after another,” citing comments from Chinese public officials.

“Public security authorities will continue to intensify efforts to capture fugitives,” it said, adding:

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“At the same time, they once again warn criminals to recognize the situation, stop before it is too late, surrender as soon as possible, and strive for lenient treatment.”

Magazine: Banks want to run Vietnam’s crypto exchanges, Boyaa’s $70M BTC plan