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AI Transforms Memory Care: 270 Additional Resident Days and 78K USD Saved in Medicaid Costs

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Fellowship Square Mesa demonstrates how AI-enabled proactive care in Memory Care can significantly improve resident stability while delivering measurable financial impact for the public healthcare system. Over the course of one year, the implementation of Helpany’s privacy-preserving, AI-powered, radar-based fall prevention solution resulted in approximately 270 additional resident days spent within the community and an estimated $78,000+ in Medicaid cost savings, driven by reduced hospitalizations and fewer medical leave.

ra 1 AI Transforms Memory Care: 270 Additional Resident Days and 78K USD Saved in Medicaid Costs

In senior living communities, resident stability is directly tied to both clinical outcomes and financial sustainability. When residents experience falls or health decline, they are often transferred to hospitals or skilled nursing facilities—leading to higher system-wide costs and disruptions in care. Under ALTCS/Medicaid (Arizona Long Term Care System), communities are reimbursed only for days when residents are physically present. Even short absences can accumulate, impacting both the operational sustainability of the senior living community and public healthcare costs.

In January 2025, Fellowship Square Mesa expanded its use of Helpany’s AI-powered platform into Independent Living and Memory Care, following a successful rollout in Assisted Living. Helpany’s technology continuously analyzes resident motion patterns—without the use of cameras—enabling care teams to detect early signs of decline in well-being and intervene earlier. As a result, in Memory Care alone, this translated into approximately 270 additional resident days in the building and $78K+ in Medicaid cost savings.

“When residents stay healthier and in their home longer, everything improves,” says Jon Scott Williams, Executive Director of Fellowship Square Mesa. “From quality of care to the overall strength of our community, Helpany has been instrumental in enabling this shift.”

A six-year, community-internal analysis (2020–2025) revealed a clear shift following implementation:

  • Resident presence increased from 92.9% to 97.0%
  • +4.1 percentage-point improvement in stability
  • ~270 additional resident days in the building annually
  • Significantly reduced variability in monthly presence (26% → 11%)
  • Shorter, less disruptive absences with faster returns

 

These improvements reflect fewer hospitalizations, more consistent care delivery, and a more stable resident population. This represents a true win-win-win: residents stay healthier for longer, communities experience fewer crises and greater operational stability, and Medicaid benefits from reduced costs. Based on historical absence patterns and conservative Medicaid benchmarks (~$300/day for skilled nursing and ~$2,000/day for hospital care), the increase in resident presence translated into $78,000+ in annual Medicaid cost savings. These savings are driven by avoided high-cost care settings.

“What has been most impactful for us is seeing our residents stay longer in their home,” says Tawnya Christensen. Instead of responding after an event, caregivers are now able to act in advance, thanks to Helpany’s AI — stabilizing residents, preventing avoidable incidents, and reducing the likelihood of hospitalizations or transfers to higher levels of care. “When you look at the data — 270 additional days in the building over the course of a year—that’s incredibly powerful. For us, this is about quality of life, dignity, and helping residents stay where they feel safest—at home,” concludes Tawnya.

Delivering both better quality of life for residents and measurable cost savings for the public system is a powerful step forward for the future of senior care.

About Fellowship Square Mesa: Fellowship Square Mesa is a senior living community in Arizona operated by Christian Care, a faith-based nonprofit organization and one of the state’s largest providers of senior housing and services. The community offers Independent Living, Assisted Living, and Memory Care, delivering mission-driven care focused on long-term resident well-being. https://www.fellowshipsquareseniorliving.org/campus/az/mesa/

About Helpany: Helpany is transforming resident care and fall prevention in long-term care communities with its AI-powered motion monitoring device, “Paul”. Designed for all levels of care Paul monitors resident behavior and movement patterns without cameras. It detects early signs of health decline and rising fall risk, enabling caregivers to act proactively and reduce preventable incidents. In addition, Helpany continuously analyzes care delivery patterns to uncover discrepancies between planned and actual care—supporting more accurate care planning and resource allocation. www.helpany.com

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Holly Morgan

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Tradeify Launches Limited-Time 40% Discount Across All Funded Account Programs as Demand for Futures Prop Trading Surges

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Tradeify, a U.S.-based proprietary trading firm specializing in futures markets, today announced the return of its flagship 40% discount across all funded account programs. The promotion, available with code FUTURE, is live through May 31, 2026 at 11:59 PM EST and applies to the firm’s Lightning Funded instant-funding accounts, Select Plan evaluations, and Growth Challenge accounts.

The launch comes amid record interest in retail futures trading, as more individual traders seek alternatives to deploying personal capital in volatile markets. Tradeify’s model gives qualified traders access to simulated capital ranging from $25,000 to $750,000, with profit splits and payout structures designed to align trader and firm incentives.

tradify Tradeify Launches Limited-Time 40% Discount Across All Funded Account Programs as Demand for Futures Prop Trading Surges

 

A Model Built Around Speed and Flexibility

Tradeify’s platform is structured around three primary account paths. The Lightning Funded program provides instant access to a simulated funded account with no multi-step evaluation. The Select Plan, the firm’s newest offering, combines a unified evaluation process with the ability to choose between day-one or five-day payout structures. The Growth Challenge offers a traditional evaluation pathway for traders who prefer a more conventional model.

Across all programs, qualifying traders can manage up to five funded accounts simultaneously and request payouts that, according to the firm, are typically processed within 24 hours.

Trustpilot Rating and Industry Position

Tradeify currently holds a 4.6-star “Excellent” rating on Trustpilot from more than 2,600 reviews, with traders frequently citing payout speed, support responsiveness, and rule transparency. The firm is positioned within the broader futures prop trading category alongside established names such as Topstep, Apex Trader Funding, and TakeProfitTrader.

The firm restricts certain jurisdictions in line with U.S. compliance standards and emphasizes a clearly published rule set covering drawdown limits, position sizing, and consistency requirements.

Promotion Details

  • Code: FUTURE
  • Discount: 40% off all account programs
  • Limit: First 5 uses per customer (30% applies thereafter)
  • Eligible Accounts: Lightning Funded, Select Plan, Growth Challenge ($25K–$750K)
  • Expires: May 31, 2026 at 11:59 PM EST
  • Where to Redeem: tradeify.co

 

About Tradeify

Tradeify is a U.S.-based proprietary trading firm providing simulated funded accounts to futures traders worldwide. The firm specializes exclusively in regulated CME-listed futures products, including equity index, energy, metals, and agricultural contracts. With funding programs ranging from $25,000 to $750,000, Tradeify combines instant-funding options, flexible payout structures, and a published rule set designed to support disciplined, consistent traders.

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PropTraderHub

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Protego Systems Launches 500 Series TAA-Compliant USB Desk Phone for Secure Softphone Environments

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Protego Systems announced the release of the Protego Systems 500 Series TAA-compliant USB desk phone with an optional push-to-talk handset, a communication device designed to support secure and compliant use in modern softphone environments.

ProtegoInstrument 1 Protego Systems Launches 500 Series TAA-Compliant USB Desk Phone for Secure Softphone Environments

As organizations increasingly adopt platforms such as Microsoft Teams and other software-based calling systems, some users—particularly within government and regulated sectors—have limited access to TAA-compliant, USB-connected desk phone alternatives. In many cases, this results in reliance on headsets, which may present usability and operational challenges. The Protego 500 Series is designed to provide a desk phone-style interface adapted for digital communication systems.

“Organizations often evaluate trade-offs between usability, comfort, and security in communication tools,” said a spokesperson for Protego Systems. “The 500 Series is designed to provide an alternative that aligns with secure environment requirements while supporting familiar communication workflows.”

Secure and Controlled Communication

The Protego 500 Series includes an optional push-to-talk handset, allowing users to control when the microphone is active. This feature is intended to support environments where managing audio transmission is important.

The device also includes a physical speakerphone disable switch, enabling organizations to manage audio functionality at the hardware level in accordance with internal policies and operational requirements.

Protego red 1 Protego Systems Launches 500 Series TAA-Compliant USB Desk Phone for Secure Softphone Environments

Visibility and Workspace Awareness

An easily visible, built-in 360-degree ready light provides a visual indication of call status from multiple angles. This feature is designed to support awareness in shared or monitored workspaces.

Designed for Simplicity and Usability

The Protego 500 Series is designed to reduce reliance on headsets by offering a handset-based communication option. Its ergonomic design is intended to support extended use while minimizing the need for additional accessories.

With plug-and-play USB connectivity, the device supports integration with widely used softphone platforms and can be deployed without additional configuration.
Use Cases Across Secure and Hybrid Environments

The Protego 500 Series is designed for organizations where compliance, usability, and communication control are key considerations, including:

  • Federal agencies and government offices
  • Defense and intelligence environments
  • Sensitive Compartmented Information Facilities (SCIFs)
  • Government contractors handling regulated data
  • Hybrid work environments requiring standardized communication tools

 

Key Features

  • TAA-compliant design for government procurement
  • USB connectivity for softphone integration
  • Optional push-to-talk handset
  • 360-degree ready light for call status visibility
  • Physical speakerphone disable switch
  • Ergonomic handset design
  • Plug-and-play deployment

 

Availability

The Protego Systems 500 Series USB desk phone is currently available. Additional information is available through Protego Systems.

About Protego Systems

Protego Systems provides communication solutions designed for enterprise, government, and hybrid work environments. The company focuses on delivering systems that support compliance, usability, and operational control across modern communication platforms.

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David Scott

Protego Systems

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Fardeen NB: The 23 Year Old AI Scientist Breaking Big Tech’s Monopoly with a Self-Built 7B LLM

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The artificial intelligence landscape is currently dominated by a handful of “walled gardens” trillion-dollar corporations that exert a near monopoly over Large Language Model (LLM) development. However, a new voice is rising to challenge this status quo. Fardeen NB [Fardeen Noor Basha], a 23-year-old visionary and Master of Engineering in Artificial Intelligence graduate from the University of Cincinnati, has achieved what many thought impossible for a single individual: the successful pre-training and post-training of a 7-billion parameter LLM from scratch.

Fardeen cropped Fardeen NB: The 23 Year Old AI Scientist Breaking Big Tech’s Monopoly with a Self-Built 7B LLM

This model, known as Neutrino-Instruct, represents more than just a technical milestone; it is a manifesto for the democratization of high-level technology. By releasing the model on Hugging Face under the neuralcrew banner with Apache 2.0 license, Fardeen is proving that the tools to build the future of AI are within reach of the “common man,” provided they have the expertise, the data, and the will to bypass the corporate gatekeepers.

A Pedigree of Academic and Technical Excellence

The journey of Fardeen NB [Fardeen Noor Basha] is defined by a relentless pursuit of knowledge that began long before his graduate studies. A self-taught polymath, Fardeen developed a keen interest in computer science during his formative years, a passion that eventually led him to the University of Cincinnati. There, he specialized in Artificial Intelligence, earning his Master’s degree and solidifying his foundation in neural architectures and machine learning theory.

His credentials extend far beyond the classroom. Fardeen holds the prestigious Certified Artificial Intelligence Scientist (CAIS) designation from the United States Artificial Intelligence Institute (USAII), a certification reserved for those who demonstrate mastery over the entire AI lifecycle. Furthermore, his technical proficiency is validated by the industry leader in AI hardware, holding dual certifications as an NVIDIA-Certified Associate in Generative AI LLMs and Generative AI Multimodal.

Fardeen’s contribution to the scientific community is well-documented. He has authored numerous research papers published in Scopus-indexed journals, contributed to several patents, and serves as a formal reviewer for the Power System Protection and Control journal, a prestigious Scopus Q1 publication. This level of peer recognition at such a young age underscores his deep understanding of the mathematical rigors that govern modern software.

The Architecture of Independence: Building Neutrino-Instruct

The creation of Neutrino-Instruct serves as a direct rebuttal to the idea that LLM development requires the infinite resources of a “Big Tech” firm. While the industry often focuses on the sheer scale of compute, Fardeen argues that the true “moat” in AI is not hardware, but data integrity.

“The industry has been led to believe that only the giants can play this game,” Fardeen NB [Fardeen Noor Basha] remarked during a recent discussion on the model’s release. “But the reality is that LLMs are only as good as the training data they consume. The cleanliness, diversity, and curation of that data dictate the success of a training run far more than the complexity of the architecture itself. By focusing on data quality, I was able to train a 7B model that rivals those produced by massive organizations.”

His interest in market prediction and algorithmic logic dates back to 2019, when he launched FX Pattern Pro. This desktop-based software utilized AI-driven algorithms to assist traders in identifying market patterns—a precursor to his later work in large-scale linguistic prediction. This early success in the fintech sector provided the practical foundation for his current mission: promoting open-source growth and the free exchange of knowledge.

A Realist’s View: AI is Math, Not Magic

In an era of hyperbole where media outlets often characterize AI as a sentient “black box,” Fardeen NB remains grounded in the mechanical reality of the technology. His views are heavily influenced by AI pioneers Andrej Karpathy and Yann LeCun, the Chief AI Scientist at Meta.

Fardeen aligns closely with LeCun’s controversial yet mathematically sound stance: that current Large Language Model architectures are fundamentally incapable of reaching Artificial General Intelligence (AGI).

“We need to be realistic about what we are building,” Fardeen stated. “There is no ‘intelligence’ in the biological sense involved in AI. It is highly sophisticated software that relies on complex mathematics to predict the most statistically probable next word in a sequence. Many people write against this view because the idea of a ‘thinking machine’ sells more news, but as a person with a Master’s degree in this specific field, I can say that Yann LeCun is correct. We cannot progress to AGI without entirely new architectures that go beyond simple next-token prediction.”

The Mission: Data Sovereignty and Anti-Monopoly 

One of the primary drivers behind Fardeen’s work is the protection of enterprise data. He warns that the current reliance on “monopoly companies” or foreign entities poses a significant risk to global data privacy. When an enterprise uses a closed-source model hosted by a massive corporation, they lose control over how their proprietary data is used, stored, or processed.

“Enterprises should not depend on big monopoly companies—or companies from nations like China because there is zero transparency regarding what happens to your data behind their firewalls,” Fardeen NB explained. “To ensure security and get the most accurate, specialized outputs, the best path forward is for organizations to train their own models using their specific data and deploy them on their own local infrastructure. This is why I built Neutrino-Instruct: to prove that the ‘common man’ and the independent enterprise can maintain their sovereignty.”

Author, Reviewer, and Innovator

Beyond the code, Fardeen is an educator. He has authored books in the field of Artificial Intelligence, aimed at demystifying the technology for those who wish to follow in his footsteps. His role as a reviewer for a Scopus Q1 journal ensures that he stays at the absolute cutting edge of new research, allowing him to filter out the “hype” and focus on the mathematical breakthroughs that actually move the needle.

Fardeen’s philosophy is rooted in the belief that knowledge should be shared, not constrained. By releasing his findings and his models to the public, he is contributing to a global movement of developers who believe that AI should be a transparent, open-source utility rather than a proprietary weapon of a few wealthy elites.

The Future of Neutrino-Instruct

As Fardeen NB continues to refine his models under his Huggingface repository, his eyes are set on the next frontier of multimodal AI. His journey serves as a powerful reminder that in the age of information, specialized knowledge and a commitment to data quality are the ultimate equalizers. Whether it is through his research papers, his patents, or his 7-billion parameter models, Fardeen is ensuring that the future of AI belongs to everyone.

About Fardeen NB

Fardeen NB [Fardeen Noor Basha] is a 23-year-old AI Scientist and researcher. He holds an Masters in Artificial Intelligence from the University of Cincinnati and is certified by USAII and NVIDIA. He is a published author, patent holder, and the lead developer behind the Neutrino-Instruct LLM.

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Full Name: Fardeen NB (Fardeen Noor Basha)

LinkedIn: linkedin.com/in/fardeennb/

GitHub/Hugging Face: huggingface.co/neuralcrew

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