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Lumino Secure Multi-Party Computing: A New Generation Of Data Security Sharing Solution

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The Dilemma Of Digital Economy

The most critical and cardinal element of the digital economy is data. Data is the “oil” of digital economy. Hence, utilizing the “data oil” safely and efficiently is the focal point of global economic digital transformation. On the one hand, the digital economy has entered a high-speed development age. The global digital economy has reached 36.2% of global GDP. It is necessary to open up the “data island” among enterprises and establish an open and shared digital resource environment. On the other hand, the public is paying more and more attention to personal privacy and data security, and regulators have introduced a series of regulations to ensure information security. For example, car companies buy parts back and assemble them into cars, the ownership belongs to the car companies, while parts manufacturers also make it clear that once the parts are sold to factories, the factories have ownership. But the data level is more sensitive. Personal data include the face, voice, name, height and other sensitive personal privacy specifics. How to define the ownership of the data between these parties? At present, there are no clear legal provisions, nor the industry has clear answers. In foreign practice, the EU has made very strict data protection regulations, but the entire EU data information technology industry lags behind China and the United States.

Because data protection is too strict, data from different sources do not interact, data is not open and can not interact to generate value and to improve the efficiency of the economy as a whole. The EU is not a good example, because it does not balance the relationship between data privacy protection and the development of the data industry.

Privacy protection and data security need multi-party promotion

Facing the dilemma of data security and sharing, the “available and invisible” secure multi-party computing provides us with an innovative solution.

Secure multi-party computing is a calculation process performed by multiple participants. Multi-party computing technology includes inadvertent transmission, secret sharing and confusing circuit. Multi-party computing has the advantage of high confidentiality and maneuverability, and each party has absolute control over the data it owns. Secure multi-party computing can be applied to networks where participants are not trusted. Participants can know the agreed results of collaborative computation, but they can’t get or deduce the original contents of the data. The flow of data and the collaborative analysis are of great value in all industries, and have brought about a lot of application demands. There are two main scenarios in the market:

1) Data security query

In the big data age, the data that the enterprise holds itself often cannot satisfy the demand of business analysis, many enterprises will purchase the external data to expand the data source. When an enterprise uses an external database to query, it faces the risk of divulging the query condition information. MPC technology helps enterprises to set up a secure query to obtain more external data under the condition of ensuring their own data security, thereby deepening the digital transformation and making better use of big data technology to optimize business.

2) Data joint analysis

Joint analysis often faces two headwinds. On one hand, it is illegal to trade personal privacy information. On the other hand, data sharing makes data-holding companies lose their competitive edge. MPC technology, through inadvertently querying, makes the data not public, the query object not exposed, and the results can be correctly given feedback for, which has an important application in the financial risk control business.

Lumino: new ideas for secure multi-party computing

Lumino is a large-scale activity that uses secure multi-party computing protocols to generate zero knowledge proof system public reference string (CRS) in a de-trust manner, and it is a prerequisite and an important step for deploying and using privacy-related applications in a decentralized ecosystem. The activity now focuses on the PLONK algorithm. As a practical and efficient zk-SNARK algorithm, PLONK is often used in blockchain projects and communities, which is characterized by only one-time initialization process, i. e. running once, it can be used to support a variety of underlying circuit logic and multi-class application deployment.

Lumino’s vision, from the start, was to link the world’s cryptographic geeks to become co-creators and witnesses of privacy computing infrastructure, not just an event but a ritual. We changed the method of centralizing system parameters into a distributed one. For a truly community-based and open-source blockchain ecosystem, each of which is the most critical link, and each participant who joins makes the bottom one safer, which would be a ceremonial collective wisdom.

Lumino is the cornerstone of subsequent de-centering privacy protection applications based on zero-knowledge proof, and the subsequent de-centralization applications will be safer only if the activity is safely completed.

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Medifakt Appoints Preethika Mandadi as Chief Executive Officer

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Medifakt, the health-to-earn DeSci ecosystem built on a cross-chain token economy, today announced the appointment of Preethika Mandadi as Chief Executive Officer. Preethika brings deep expertise in technology strategy, health innovation, and operations to the role, stepping in at a pivotal moment as Medifakt prepares for its global commercial launch.

About Preethika Mandadi

Preethika Mandadi is a technology strategist and health innovation leader who has driven Medifakt’s operations, product development, and go-to-market strategy. She holds a Master’s in Computer Information Technology from Purdue University, and brings enterprise experience from the State of Indiana and DXC Technology, where she led AI-driven analytics and business modernisation projects.

A certified Yoga Teacher (RYT 200), Preethika’s commitment to wellness is both professional and personal — the authentic foundation of the Medifakt mission. She is also the first author on a forthcoming peer-reviewed DeSci research paper on the Medifakt ecosystem, targeting a high-impact journal for December 2026 publication.

About Medifakt

Medifakt is a Decentralised Science (DeSci) health-to-earn ecosystem that rewards users for verified healthy behaviour through on-chain incentives. The company’s products include the FaktUp mobile application — a gamified mental wellness platform — alongside the Fakt-O-Band and Fakt-O-Ring BLE wearable devices that generate cryptographically signed, device-verified health data. Medifakt operates a dual-chain token economy: SOLFAKT on Solana serves as the earn-and-spend velocity token, while FAKT on Ethereum functions as the governance and store-of-value layer. Medifakt’s mission is to create a privacy-first, decentralised model for personal health data ownership — giving individuals full control over their wellness journey and rewarding them in real tradeable value.

Fore more information Visit: www.medifakt.com | email us at social@medifakt.com

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AI & Blockchain Startup Edubuk Secures $50M Investment from Nimbus Capital

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New Delhi, India, March 24th, 2026, ZEX PR WIRE, Edubuk, a fast-scaling AI and blockchain startup, has secured a $50 million strategic investment commitment from Nimbus Capital, marking a major milestone in its mission to redefine global hiring infrastructure, powered by its upcoming $EBUK reward token launch.

Founded by Apoorva Bajaj (CFA, IIT Dhanbad; IIM Kozhikode Gold Medallist, with work-ex in Global Financial Markets with Goldman Sachs, DE Shaw, GlobalData) and Shivani Mehrotra (MBE from Lucknow University, Topper, UGC NET Qualified ex- Professor, Education leader, Microsoft Innovative Educator, Women in AI APAC finalist), Edubuk is tackling one of the world’s largest yet overlooked problems, fake credentials and broken verification systems, impacting over 500 million profiles globally, a $50billion+ issue.

  •  $50M strategic backing from Nimbus Capital
  • 100,000+ on-chain verifications
  •  Expanding across India, South East Asia, Middle East, Europe & Africa

At the core is TruCV, a blockchain-powered, tamper-proof CV platform integrated with DigiLocker, enabling instant credential verification, and TruJobs, an AI-driven job matching platform for employers.

Backed by global recognition and awards from G20, MIT, Harvard, GITEX, CNBC, CNN, Leap-to-Unicorn, STPI, and others, Edubuk is not just building a product; it is building the trust layer for the future of work.

This isn’t just a startup, it’s the infrastructure for a transparent, skill-first global workforce.

Website: https://www.edubuk.io/

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Steve Valdiserri Identifies Three Shifts Reshaping the Back End of Healthcare Finance

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  • Traverse City executive Steve Valdiserri outlines the operational trends he sees accelerating across revenue cycle management, AI adoption, and value-based care performance in 2026 and beyond.

Healthcare Finance Is Changing Faster Than Most Organizations Are Ready For

Michigan, USA, 24th March 2026, ZEX PR WIRE — The back end of healthcare finance has historically been defined by manual processes, siloed data systems, and reporting volumes that require significant staff time to produce and interpret. Steve Valdiserri, SVP of Operations at Tally and Accurio and Founding Partner of Avanti Strategy Group, has spent the past year working at the intersection of these systems and the AI tools designed to replace or augment them. He identifies three shifts that healthcare executives and operators should be tracking closely.

Shift One: AI Adoption Is Moving from Strategy to Operationalization

The question in healthcare AI has shifted. Organizations are no longer asking whether AI belongs in revenue cycle or financial reporting. They are asking how to operationalize it within existing workflows and regulatory constraints. Valdiserri sees this as meaningful progress, though he notes that the distance between adopting a tool and realizing its financial benefit remains significant for most organizations. The gap is typically operational, not technological.

At Tally, where he leads operations, the focus is on building the infrastructure that allows AI automation to produce consistent results for organizations managing insurance verification, claims submission, AR follow-up, and financial reporting. The tool is only as effective as the operational environment it runs in.

Shift Two: Attribution Is Becoming a Recognized Strategic Priority in Value-Based Care

For years in value-based care, attribution management was treated as a technical function handled by data teams with limited connection to executive strategy or operations. Valdiserri has argued consistently that this framing understates its importance. The patient panel determines the performance baseline for every value-based care program. If attribution is broken, the downstream investment in care management, quality programs, and payer engagement produces less return than it should.

He notes a growing recognition among VBC leaders that attribution deserves a dedicated operational strategy, including systematic payer engagement and ongoing panel validation. The organizations beginning to treat it that way are seeing earlier identification of performance gaps and more accurate financial projections from their risk-based contracts.

Shift Three: Healthcare Finance Metrics Are Being Simplified, Not Expanded

Counter to the general trend toward more reporting, Valdiserri sees leading healthcare finance teams moving toward fewer, higher-quality metrics. The volume of data available to healthcare organizations has grown faster than the capacity to interpret it strategically. His view, developed across a decade of VBC operations and now applied in revenue cycle contexts, is that most organizations need a small number of metrics that describe financial health clearly rather than a comprehensive dashboard that requires significant analysis time to interpret.

For revenue cycle, his working framework focuses on AR days, write-off rate, and gross charge distribution as core indicators. Other metrics matter, but these three describe the financial condition of the business in terms that allow for direct operational response.

What These Shifts Mean for Healthcare Operators

Each of these shifts rewards organizations that prioritize operational discipline over technology adoption speed. AI tools deliver better results in organizations that have already clarified their processes. Attribution strategy produces better financial outcomes when it is connected to executive decision-making rather than siloed in analytics. Simplified metrics work when an organization has already done the harder work of understanding which numbers actually drive performance.

Valdiserri’s current work across Tally, Accurio, and Avanti Strategy Group reflects a consistent thesis: the organizations that will benefit most from the changes underway in healthcare finance are the ones that invest first in the operational foundations that make those changes productive.

About Steve Valdiserri

Steve Valdiserri is a healthcare operations executive and entrepreneur based in Traverse City, Michigan. He serves as SVP of Operations at Tally and Accurio and as Founding Partner of Avanti Strategy Group. He previously held senior operational roles at VillageMD over approximately a decade. He completed a certificate in AI in Health Care from Harvard Medical School in October 2025 and holds a Bachelor of Arts in Economics from DePauw University. Connect with him at stevevaldiserri.com.

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Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.

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