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NETRAMARK UNVEILS AI DRIVEN INSIGHTS FOR MAJOR DEPRESSIVE DISORDER AND SCHIZOPHRENIA AT ISCTM CONFERENCE

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TORONTO, March 5, 2025 /CNW/ – NetraMark Holdings Inc. (the “Company” or “NetraMark”) (CSE: AIAI) (OTCQB: AINMF) (Frankfurt: 8TV) a generative AI software leader in clinical trial analytics, presented two significant studies at the International Society for CNS Clinical Trials and Methodology (ISCTM) conference, showcasing the power of advanced machine learning in major depressive disorder (MDD) and schizophrenia clinical trials.

Mathematically Augmented Machine Learning Redefines MDD Clinical Trial Insights

NetraMark’s first presentation, “Novel Machine Learning Approach Outperforms Traditional Approaches in Major Depressive Disorder Clinical Trials”, demonstrated how NetraAI Sub-Insight Learning enhances patient stratification in MDD clinical trials over traditional methods.

NetraAI was designed to address the challenges of modeling clinical trial data, where traditional Machine Learning (ML), including deep learning, often falls short. Built to identify optimal patient cohorts for future trials, NetraAI enhances established ML methods by uncovering key variable combinations. In this presentation, NetraMark applied NetraAI to the CAN-BIND trial on escitalopram response, demonstrating its ability to significantly improve industry-standard ML models, the study revealed:

NetraAI-driven patient subpopulation analysis led to a 28% increase in model accuracy compared to traditional ML approaches.Sensitivity improved by 31%, while specificity increased by 51%, reducing false-positive rates.NetraAI successfully identified key combinations of variables that refine inclusion/exclusion criteria for more efficient trial design.This is made possible through NetraAI’s ability to discover which patients can be explained and those that cannot.

NetraAI identifies and explains key variable combinations, offering deeper insights into drug and placebo response. When NetraAI-derived variables were fed to traditional ML methods, the resulting performance was significantly enhanced, as shown in the table below.

Traditional
Method

Accuracy of Traditional
Method Alone (%)

Accuracy of Traditional
Method using NetraAI
derived variables (%)

Improvement (%)

Logistic Regression

54.29

77.14

+22.85

XGBoost

65.71

91.43

+25.72

Random Forest

62.86

82.86

+20.00

SVM

60.00

100.00

+40.00

Neural Network

60.00

77.14

+17.14

“This advancement validates NetraAI’s ability to learn about complex clinical trial patient populations in a way that modern ML methods cannot, and this can translate to significantly improving clinical trial outcomes,” said Dr. Joseph Geraci, Chief Technology Officer and Chief Scientific Officer of NetraMark.

Advancing Schizophrenia Clinical Trials with AI-Driven Biomarker Discovery

NetraMark’s second presentation, “Predictive Biomarker Discovery in Schizophrenia Using Advanced Machine Learning to Decode Heterogeneity”, demonstrated NetraAI’s ability to learn from heterogeneous patient populations in schizophrenia trials. Using data from the CATIE schizophrenia trial, NetraAI identified clinically meaningful subpopulations that respond preferentially to olanzapine or perphenazine. Key findings include:

Patients with moderate to severe symptom burden and mild behavioral disturbances responded better to olanzapine.Patients with moderate negative symptoms, mild to moderate hallucinations, and paranoia showed improved response to perphenazine.This innovative Sub-Insight Learning approach overcomes traditional ML limitations by discovering high-effect size subpopulations that replicate across datasets, enabling better trial enrichment strategies.

“These findings represent a significant step toward precision psychiatry, as it allows us to demonstrate that our technology can produce robust models that replicate. Further, these models reduce trial failures and increase treatment efficacy by seeking to identify the right patients for the right therapies,” said Dr. Joseph Geraci.

Transforming the Future of CNS Clinical Trials

NetraMark’s AI-driven methodologies have the potential to transform the landscape of CNS clinical research by: Enhancing patient stratification for more targeted trials. Reducing placebo response and trial failures. Accelerating drug development by improving predictive modeling.

As the field moves toward precision medicine, NetraMark’s innovations offer pharmaceutical companies and researchers a powerful toolset to unlock deeper insights into psychiatric disorders and treatment responses.

About NetraAI
In contrast with other AI-based methods, NetraAI is uniquely engineered to include focus mechanisms that separate small datasets into explainable and unexplainable subsets. Unexplainable subsets are collections of patients that can lead to suboptimal overfit models and inaccurate insights due to poor correlations with the variables involved. The NetraAI uses the explainable subsets to derive insights and hypotheses (including factors that influence treatment and placebo responses, as well as adverse events) that can significantly increase the chances of a clinical trial success. Other AI methods lack these focus mechanisms and assign every patient to a class, even when this leads to “overfitting” which drowns out critical information that could have been used to improve a trial’s chance of success.

About NetraMark

NetraMark is a company focused on being a leader in the development of Generative Artificial Intelligence (Gen AI)/Machine Learning (ML) solutions targeted at the Pharmaceutical industry. Its product offering uses a novel topology-based algorithm that has the ability to parse patient data sets into subsets of people that are strongly related according to several variables simultaneously. This allows NetraMark to use a variety of ML methods, depending on the character and size of the data, to transform the data into powerfully intelligent data that activates traditional AI/ML methods. The result is that NetraMark can work with much smaller datasets and accurately segment diseases into different types, as well as accurately classify patients for sensitivity to drugs and/or efficacy of treatment.

For further details on the Company please see the Company’s publicly available documents filed on the System for Electronic Document Analysis and Retrieval (SEDAR).

Forward-Looking Statements

This press release contains “forward-looking information” within the meaning of applicable Canadian securities legislation including statements regarding the potential improvements and success arising from NetraAI and its ability to improve patient outcomes, the identification of effective treatments, operational results and the design clinical trials, which are based upon NetraMark’s current internal expectations, estimates, projections, assumptions and beliefs, and views of future events. Forward-looking information can be identified by the use of forward-looking terminology such as “expect”, “likely”, “may”, “will”, “should”, “intend”, “anticipate”, “potential”, “proposed”, “estimate” and other similar words, including negative and grammatical variations thereof, or statements that certain events or conditions “may”, “would” or “will” happen, or by discussions of strategy. Forward-looking information includes estimates, plans, expectations, opinions, forecasts, projections, targets, guidance, or other statements that are not statements of fact. The forward-looking statements are expectations only and are subject to known and unknown risks, uncertainties and other important factors that could cause actual results of the Company or industry results to differ materially from future results, performance or achievements. Any forward-looking information speaks only as of the date on which it is made, and, except as required by law, NetraMark does not undertake any obligation to update or revise any forward-looking information, whether as a result of new information, future events, or otherwise. New factors emerge from time to time, and it is not possible for NetraMark to predict all such factors.

When considering these forward-looking statements, readers should keep in mind the risk factors and other cautionary statements as set out in the materials we file with applicable Canadian securities regulatory authorities on SEDAR at www.sedarplus.ca including our Management’s Discussion and Analysis for the year ended September 30, 2024. These risk factors and other factors could cause actual events or results to differ materially from those described in any forward-looking information.

The CSE does not accept responsibility for the adequacy or accuracy of this release.

SOURCE NetraMark Holdings Inc.

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EA Automatic Announces Next Generation Intelligent Trading Solutions Built for Performance, Precision, and Long-Term Growth

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Redefining algorithmic trading through personalized strategies, AI-enhanced systems, and expert human oversight

LONDON, April 29, 2026 /PRNewswire/ — In today’s fast-moving financial landscape, where market conditions shift in seconds and opportunities are often measured in milliseconds, traders and investors are increasingly turning to technology to stay competitive. EA Automatic has officially announced the launch and expansion of its intelligent automated trading solutions, designed to deliver precision, adaptability, and performance without sacrificing strategic control.

Positioned at the intersection of advanced technology and real-world trading expertise, EA Automatic is setting a new standard in algorithmic trading. The company offers more than just trading bots. It delivers fully integrated trading systems built around the individual goals, risk tolerance, and long-term ambitions of each client.

At its core, EA Automatic is driven by a simple but powerful philosophy. Automation alone is not enough. True success in trading comes from combining intelligent systems with informed human decision-making. This belief has shaped every aspect of the company’s platform, resulting in solutions that go beyond execution to deliver meaningful, consistent performance.

A Personalized Approach to Automated Trading

One of the defining features of EA Automatic is its commitment to customization. In an industry where many platforms rely on rigid, one-size-fits-all models, EA Automatic takes a fundamentally different approach.

Every investor is unique. Financial goals, risk appetite, and investment timelines vary widely from one individual to another. Recognizing this, EA Automatic designs and deploys trading strategies that are tailored specifically to each client’s profile.

Whether the objective is steady monthly income, capital preservation, or aggressive growth through higher risk strategies, the platform adapts accordingly. By aligning each system with clearly defined goals, EA Automatic ensures that clients are not simply participating in the market but doing so with purpose and direction.

This level of personalization is further enhanced through smart diversification. Rather than relying on a single strategy or market condition, EA Automatic spreads risk intelligently across multiple approaches. This creates a more stable trading environment and helps protect capital even during periods of volatility.

Advanced Technology Built on Real Trading Insight

The EA Automatic platform is the result of more than two and a half years of focused development. During this time, the company has worked to integrate cutting-edge artificial intelligence with practical trading knowledge gained from real market experience.

The result is a system that does not rely solely on algorithms but uses AI to enhance decision-making. Automation handles the speed and efficiency required for modern trading, executing trades with precision and consistency. At the same time, human expertise remains a critical component of the process.

A dedicated team of professional traders continuously monitors performance, evaluates market conditions, and adjusts strategies as needed. This dynamic approach allows the platform to respond to changes in real time while maintaining a structured and disciplined trading framework.

By combining machine efficiency with human oversight, EA Automatic delivers a balanced solution that minimizes emotional decision-making while retaining the flexibility needed to adapt in unpredictable markets.

A Strong Focus on Risk Management and Stability

In an environment where many trading services focus on rapid gains and unrealistic promises, EA Automatic takes a more disciplined and transparent approach. The company places risk management at the center of its strategy development process.

Rather than promising overnight success, EA Automatic emphasizes consistency, structure, and long-term sustainability. Every system is built on proven methodologies designed to reduce unnecessary exposure and protect client capital.

Key risk management principles are embedded into each strategy, including controlled position sizing, diversified asset allocation, and continuous performance monitoring. These elements work together to create a trading experience that prioritizes stability without sacrificing growth potential.

By removing emotional bias and guesswork from the equation, EA Automatic enables clients to engage with the market in a more rational and controlled manner. This structured approach is particularly valuable in volatile conditions, where impulsive decisions can lead to significant losses.

Ongoing Support and a Clear Path to Growth

EA Automatic understands that successful trading is not just about technology. It is also about support, guidance, and transparency. Clients are not left to navigate the platform on their own. Instead, they gain access to a complete trading ecosystem designed to support long-term success.

From initial onboarding to ongoing strategy adjustments, the EA Automatic team works closely with clients to ensure that their systems remain aligned with their evolving goals. This continuous support helps build confidence and allows investors to focus on growth rather than day-to-day market fluctuations.

The company’s commitment to clarity and communication further strengthens this relationship. Clients receive insights into how their strategies operate, what factors influence performance, and how adjustments are made in response to changing conditions.

This level of engagement transforms the trading experience from a passive process into a guided journey, where clients are empowered with both tools and understanding.

Redefining What Automated Trading Means

As automation becomes increasingly common in the financial world, the distinction between basic tools and intelligent systems is becoming more important. EA Automatic is leading this shift by redefining what automated trading can and should be.

Instead of offering standalone bots, the company delivers comprehensive solutions that integrate strategy, technology, and expertise. This approach ensures that clients are not simply executing trades but participating in a structured and well-managed investment process.

By focusing on personalization, advanced technology, and disciplined risk management, EA Automatic is creating a model that is both scalable and sustainable. It is a model designed not for short term speculation but for long term financial growth.

About EA Automatic

EA Automatic is a London-based financial technology company specializing in intelligent automated trading solutions. With a focus on combining artificial intelligence with real trader expertise, the company develops customized algorithmic strategies tailored to individual investment goals and risk profiles.

Built over more than two and a half years of development, the EA Automatic platform emphasizes precision, adaptability, and risk management. Clients benefit from continuous monitoring, expert oversight, and a structured approach designed to deliver consistent results over time.

EA Automatic is committed to helping investors navigate the complexities of modern financial markets with confidence, clarity, and control.

Contact:
EA Automatic
Website https://ea-automatic.com
Email support@ea-automatic.com

Watch the video: Clinton & David Interview [EA Automatic Review]

Photo – https://mma.prnewswire.com/media/2969575/EA_Automatic.jpg

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SOURCE EA Automatic

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New Blog Series from Commercial Credit Group (CCG) Helps Businesses Make Smarter Equipment Financing Decisions for Long-Term Growth

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CHARLOTTE, N.C., Apr. 29, 2026 /PRNewswire/ — Drawing on more than two decades of working alongside equipment owners across industries and economic cycles, Commercial Credit Group (CCG) has launched a new thought leadership series focused on the real‑world lessons that shape resilient, growth‑oriented businesses.

The five‑part blog series, Lessons From Over 20 Years of Equipment Financing, draws from the experiences of CCG’s leadership team as they’ve partnered with equipment owners across industries and economic cycles. Rather than focusing on short-term market trends, the series delivers real-world insights that help companies evaluate financing strategies, avoid common pitfalls, and align equipment investments with long-term business goals.

For companies considering equipment purchases, expansion, or refinancing, the series provides perspective on:

How successful equipment owners structure financing decisions to support cash flow and growth

Common mistakes that can limit flexibility or create risk over time

Proven principles that hold up across changing markets, interest rate environments, and business cycles

“After more than 20 years of financing equipment through multiple market cycles, we’ve seen firsthand that while the market evolves, the fundamentals of lending and responsible growth haven’t changed,” said CEO and founder, Dan McDonough. “This series is designed to help equipment-focused businesses make smarter decisions today that still serve them years down the road.”

The series is particularly relevant for owners, executives, and finance leaders in construction, transportation, manufacturing, and waste industries who want to better understand how financing choices impact operational flexibility and long-term performance.

The Lessons From Over 20 Years of Equipment Financing series is now available on the CCG website. Readers are encouraged to explore the full series to gain practical insights drawn directly from decades of real-world financing experience.

About Commercial Credit Group Inc.:

Commercial Credit Group Inc., a wholly owned subsidiary of Commercial Credit, Inc., is an independent commercial finance company that provides equipment loans and leases to small and mid-sized businesses in the construction, fleet transportation, machine tool, manufacturing, and waste industries. The company’s sales force is located throughout North America. Since its inception in 2004, CCG has originated over $8 billion in equipment loans and leases. CCG is headquartered in Charlotte, NC. For more information, please visit www.commercialcreditgroup.com.

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SOURCE Commercial Credit Group Inc.

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Frost & Sullivan Institute Announces Visionary Leadership Best Practices Recognition and This Year’s Honorees

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SAN ANTONIO, April 29, 2026 /PRNewswire/ — The Frost & Sullivan Institute (FSI) is pleased to unveil this year’s recipients of the Visionary Leadership Best Practices Recognition. These individuals exemplify purpose-driven leadership, bold innovation, and measurable impact aligned with FSI’s mission to inspire solutions that advance Education, Environment, Healthcare, Human Rights, Infrastructure, Security, and Economic Progress.

These distinguished leaders have demonstrated exceptional commitment to creating long-term, systemic impact, whether through pioneering environmental solutions, transforming access to education or healthcare, improving social infrastructure, or advancing community well-being.

“At the Frost & Sullivan Institute, we believe change accelerates when we recognize and celebrate those who lead with courage and clarity. This year’s honorees remind us that visionary leadership is not just about bold ideas but about creating meaningful outcomes that uplift people and communities,” said David Frigstad, Executive Director, Frost & Sullivan Institute.  

Our evaluation process is grounded in a best practices framework, assessing nominees across three parameters namely Impact, Innovation, and Implementation. A panel of experts conducts a structured review, followed by benchmarking and consensus-building to ensure fairness, credibility, and alignment with FSI’s seven global priority areas. The final honorees represent leaders whose work shows clear, sustained, and scalable impact.

The list of visionary leaders for 2026 includes:

Aadith Moorthy

Ai-jen Poo

Aki Ra

Akshay Saxena

Alex Kelly

Alex Stephany

Aline Sara

Amira Yahyaoui

Ana Bella Estévez Jiménez de los Galanes

Andrew Bastawrous

Anna Luísa Beserra Santos

Anna‑Lena von Hodenberg

Anshu Gupta

Anshu Sharma

Asma Mansour

Atul Gawande

Barbara Mutabazi

Barbarita Lara

Blaise Judja-Sato

Boyan Slat

Brigitha Faustin

Bruce Schneier

Catalina Escobar

Colette Pichon Battle

Connor Schoen

Diana Johanna Willemina Theresia Nijboer

Dr Mihai Ranete

Dr. Abhay Bang

Dr. Alex Dehgan

Dr. Devi Shetty

Dr. Katrin Schuhen

Dr. Peter Rohloff

Dr. Rebecca Onie

Dr. Rebecca Richards-Kortum

Dr. Tan See Leng

Dr. Tererai Trent

Esra’a Al Shafei

Esther Kimani

Esther Olalude

Fábio Luiz de Oliveira Rosa

Faith Kuya

Fatemah (Fatema) Alzelzela

Feliciano Reyna

Gillian Henker

Harish Hande

Hasina Kharbhih

HH Sheikha Intisar AlSaba

Irene Mbari‑Kirika

Jairo Trad

Jason Ballard

Javier Goyeneche

Jay Chaudhry

Jayshree Satpute

About Frost & Sullivan Institute

The Frost & Sullivan Institute (FSI) is a non-profit organization dedicated to utilizing business practices to address global priorities. The genesis of the institute goes back to the vision of either creating or becoming part of a solution that addresses threats to humanity. The Institute has identified strategic imperatives for transformation and believes that we can truly accelerate innovation to zero. To learn more about FSI, visit www.frostandsullivaninstitute.org

About Frost & Sullivan

For six decades, Frost & Sullivan has been world-renowned for its role in helping investors, corporate leaders, and governments navigate economic changes and identify disruptive technologies, Mega Trends, new business models, and companies to action, resulting in a continuous flow of growth opportunities to drive future success. Contact us: Start the discussion.

Media Contact:

Bivechana Gautam
Email: Bivechana.gautam@frost.com

Related Links:
www.frost.com
www.frostandsullivaninstitute.org

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SOURCE Frost & Sullivan

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