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Mobile-health Network Solutions Advances AI-Powered Lab Data Analysis to Transform Clinical Decision-Making

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Mobile-health Network Solutions (NASDAQ: MNDR) announced a next-generation AI-powered lab data analysis solution designed to help clinicians interpret complex longitudinal laboratory data and support clinical decision-making at scale. The tool was developed by subsidiary Skylink Innovations under Singapore’s national AI Cloud Takeoff (AI CTO) program, part of the Enterprise Compute Initiative administered by Digital Industry Singapore, leveraging Google Cloud AI technologies.

The platform aggregates a patient’s complete lab history and generates an intelligent analysis including an executive summary, key abnormalities, automated trend detection, AI-assisted correlations to potential diagnoses, evidence-based references, and a summarized potential diagnosis list. Positioned as a clinical decision-support tool rather than a replacement for medical judgment, it aims to reduce manual record review, speed decisions, and highlight subtle patterns. Built on Google Cloud’s infrastructure, it is intended to offer scalable, secure deployment across diverse healthcare environments with implementation support from a certified technology partner.

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Positive

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Negative

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Market Context

The prior AI-tagged record showed an average 24-hour move of -2.89% across five events. For this lab...
Analysis

The prior AI-tagged record showed an average 24-hour move of -2.89% across five events. For this lab-analysis announcement, that history adds context while the absence of quantified outcomes remains a risk to assess.

Previous AI Reports

5 past events · Latest: Jul 22 (Positive)
Same Type Pattern 5 events
Date Event Sentiment 24h Move Catalyst
Jul 22 AI award Positive -4.0% Technology for Good award highlighted Aiko and PhiGPT clinical AI engine
May 13 AI funding memorandum Positive -1.9% Non-binding memorandum outlined up to US$100 million in potential private equity funding
Apr 28 AI data center investment Positive -3.4% Definitive agreement described MYR 500 million injection for a 60 MW AI campus
Mar 06 AI partnership memorandum Positive -0.1% Memorandum targeted integration of MNDR's AI platform with Medpod telediagnostics infrastructure
Feb 10 AI platform launch Positive -5.0% Launch introduced Otter.SG clinic operating system with pricing beginning at US$50/month

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

All 5 prior AI-tagged announcements were followed by negative 24-hour reactions, with an average move of -2.89%.

Key Terms

longitudinal laboratory data, clinical decision-support tool
2 terms
longitudinal laboratory data medical
"interpret complex longitudinal laboratory data and improve patient care outcomes"
Longitudinal laboratory data are laboratory test results collected from the same patients or study subjects at multiple time points, showing how biological measurements change over days, weeks, or months. For investors, these data matter because they reveal trends and patterns—similar to watching a movie rather than looking at a single photograph—helping assess whether a treatment consistently affects biomarkers, signals safety issues over time, or supports the credibility and stability of clinical or product claims used in regulatory and commercial decisions.
clinical decision-support tool technical
"the solution functions as a clinical decision-support tool"
A clinical decision-support tool is software or a system that analyzes patient data and medical knowledge to provide doctors and care teams with diagnostic suggestions, treatment options, alerts, or workflow guidance—much like a GPS offers route suggestions based on current traffic. It matters to investors because these tools can affect how widely a healthcare product is adopted, regulatory and liability exposure, potential cost savings or revenue streams for providers, and the scale and pace at which a company can grow in healthcare markets.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Singapore, Singapore--(Newsfile Corp. - August 10, 2026) - Mobile-health Network Solutions (NASDAQ: MNDR) ("MNDR" or the "Company"), a leading AI-powered digital health ecosystem headquartered in Singapore, today announced the development of a next-generation AI-powered lab data analysis solution designed to help clinicians rapidly interpret complex longitudinal laboratory data and improve patient care outcomes at scale.

Developed through its subsidiary Skylink Innovations, the solution was successfully built and brought to completion under the national AI Cloud Takeoff (AI CTO) program, a pioneering initiative under the Singapore Government's Enterprise Compute Initiative (ECI) administered by Digital Industry Singapore (DISG), which leverages advanced Google Cloud AI technologies to address a growing challenge in modern healthcare: clinical data overload. As patients accumulate years of laboratory results across multiple encounters, clinicians are often required to manually review extensive historical records, an inefficient process that can delay care and obscure clinically meaningful patterns.

Turning Longitudinal Lab Data into Actionable Clinical Insights

The AI-driven platform enables clinicians to review a patient's complete laboratory history across time, automatically generating an intelligent clinical analysis that includes:

  • Executive Summary and Key Abnormalities
  • Automated Trend Detection across longitudinal lab results
  • AI-assisted correlations between lab abnormalities, trends, and potential diagnoses
  • Evidence-based clinical references integrated from external medical literature
  • A summarized potential diagnosis list to support clinician review

Rather than replacing medical judgment, the solution functions as a clinical decision-support tool, helping doctors focus on the most relevant insights while significantly reducing manual data review.

Driving Measurable Clinical Impact

By automating the interpretation of longitudinal lab data, the platform delivers meaningful benefits to healthcare providers:

  • Improved diagnostic accuracy by minimizing overlooked trends and subtle correlations
  • Faster clinical decision-making, reducing time spent on administrative review
  • More proactive care, identifying early health shifts before they escalate
  • Stronger clinician support, offering a structured, high-quality starting point for diagnosis

Leadership Perspective

"Healthcare systems today are rich in data but poor in usable insight," said Dr. Siaw Tung Yeng, Co-CEO of Mobile-health Network Solutions.

"This initiative reflects our mission to make healthcare accessible, intelligent, and human. By applying AI to longitudinal lab data, we help clinicians see the full picture faster-supporting better decisions, earlier interventions, and improved patient outcomes, while keeping clinicians firmly in control. Completing this project as part of the AI Cloud Takeoff program under the ECI framework has allowed us to accelerate our AI product roadmap effectively."

Built on a Scalable, Secure Cloud Foundation

The solution is built on Google Cloud's AI and data infrastructure, providing enterprise-grade scalability, security, and reliability to support deployment across diverse healthcare environments. Specialized implementation support is provided by a certified technology partner, utilizing their deep engineering expertise in Google Cloud architectures to deploy a robust product tailored for clinical environments.

About Mobile-health Network Solutions

Mobile-health Network Solutions is a leading AI-powered digital health ecosystem headquartered in Singapore, with operations across Southeast Asia and expanding into the US. The company provides telemedicine, AI-driven health tools, and virtual clinic infrastructure to empower patients and doctors worldwide. Its mission is to make healthcare accessible, intelligent, and human-through technology. For more information, please visit our website.

Forward-Looking Statements

Certain statements contained in this press release about future expectations, plans and prospects, as well as any other statements regarding matters that are not historical facts, may constitute "forward-looking statements" within the meaning of the Private Securities Litigation Reform Act of 1995. These statements include, but are not limited to, statements relating to financial and business prospects, anticipated benefits of the Company's transition to an asset-light platform, the Company's goals and future activity, including continued development of proprietary technologies, strategic partnerships, and its capital initiatives. The words "anticipate," "believe," "continue," "could," "estimate," "expect," "intend," "may," "plan," "potential," "predict," "project," "should," "target," "will," "would" and similar expressions are intended to identify forward-looking statements, although not all forward-looking statements contain these identifying words. Forward-looking statements are not guarantees of future performance and involve risks and uncertainties that may cause the actual results to differ materially from the Company's expectations discussed in the forward-looking statements. These statements are subject to uncertainties and risks including, but not limited to, the following: the Company's ability to execute our strategies, manage growth and maintain our corporate culture; the Company's future business development, financial conditions and results of operations; expectations regarding demand for and market acceptance of our products and services; changes in technology; economic conditions; the growth of the telehealth solutions industry in Singapore and the other international markets the Company plans to serve; reputation and brand; the impact of competition and pricing; government regulations; fluctuations in general economic and business conditions in Singapore and the international markets the Company plans to serve and assumptions underlying or related to any of the foregoing and other risks contained in reports filed by the Company with the SEC. For these reasons, among others, investors are cautioned not to place undue reliance upon any forward-looking statements in this press release. Any forward-looking statements contained in this press release speak only as of the date hereof, and Mobile-health Network Solutions specifically disclaims any obligation to update any forward-looking statement, whether because of new information, future events or otherwise, except as required by law.

For media inquiries, please contact:

Mobile-health Network Solutions Investor Relations Contact:

2 Venture Drive, #07-08 Vision Exchange
Singapore 608526
(+65) 6222 5223
Email: investors@manadr.com

Investor Relations Inquiries:

Skyline Corporate Communications Group, LLC
Scott Powell, President
1177 Avenue of the Americas, 5th Floor
New York, New York 10036
Office: (646) 893-5835
Email: ir@skylineccg.com

To view the source version of this press release, please visit https://www.newsfilecorp.com/release/308821

FAQ

What did Mobile-health Network Solutions (NASDAQ: MNDR) announce on August 10, 2026?

Mobile-health Network Solutions announced a new AI-powered lab data analysis solution to help clinicians interpret longitudinal laboratory data. According to the company, it was developed by subsidiary Skylink Innovations under Singapore’s AI Cloud Takeoff program, using Google Cloud AI to generate structured clinical decision-support summaries.

How does MNDR’s new AI lab data analysis platform support clinical decision-making?

The platform analyzes a patient’s complete lab history and produces an executive summary, key abnormalities, and automated trend detection. According to Mobile-health Network Solutions, it also offers AI-assisted correlations to potential diagnoses and evidence-based references, creating a structured starting point for clinician review and decisions.

Does Mobile-health Network Solutions’ AI lab tool replace doctors in making diagnoses?

The AI lab tool is described as a clinical decision-support system, not a replacement for medical judgment. According to Mobile-health Network Solutions, it highlights relevant trends, abnormalities, and literature-based insights so clinicians can focus on interpretation and maintain full control over diagnosis and treatment decisions.

What role does Google Cloud play in MNDR’s AI-powered lab data solution?

The solution is built on Google Cloud’s AI and data infrastructure, providing scalability, security, and reliability. According to Mobile-health Network Solutions, a certified technology partner uses deep expertise in Google Cloud architectures to implement a robust product tailored for clinical environments and diverse healthcare deployments.

What is the AI Cloud Takeoff program and how is MNDR involved?

The AI Cloud Takeoff (AI CTO) program is a national initiative under Singapore’s Enterprise Compute Initiative administered by Digital Industry Singapore. According to Mobile-health Network Solutions, its subsidiary Skylink Innovations completed development of the AI lab data analysis solution within this program, leveraging advanced Google Cloud AI technologies.

What clinical benefits does Mobile-health Network Solutions expect from its AI lab platform?

The company expects improved diagnostic accuracy, faster decision-making, more proactive care, and stronger clinician support. According to Mobile-health Network Solutions, automating interpretation of longitudinal lab data helps minimize overlooked trends, reduce administrative review time, and identify early health shifts before they escalate.