AI Insights

University Hospitals studying use of Artificial Intelligence to improve lung cancer outcomes

Published

5 days ago

July 2, 2025

CLEVELAND, Ohio (WOIO) – There are more lung cancer deaths in the United States than breast cancer, colon cancer, and prostate cancer combined.

The problem is that most lung cancers are caught so late, in stage three or four, because it can be so difficult for radiologists to detect.

But University Hospitals is conducting a study to see if artificial intelligence can help patients catch it much earlier.

“We needed a way to find lung cancer early. It’s like finding a needle in a haystack. And that’s where A.I. comes in,” said Dr. Samir Shah, Chief Medical Officer at Qure.ai.

Lung cancer nodules in their early stages can be nearly impossible for radiologists to see. Usually, lung cancer goes undiagnosed until patients start feeling symptoms.

“When they are having cough, chest pain, or blood coming out of the sputum, unfortunately, that stage is stage three or four, and at that time the survival rate is, whatever you do, in single digits,” said Radiologist, Dr. Amit Gupta.

He and his team at University Hospitals are now studying use of A.I. to see if they can get to a diagnosis sooner.

“In my initial experience, it can find some of the nodules which are super hidden. And on a busy day, even a trained cardiothoracic radiologist may overlook them,” he said.

Qure.ai acts as another set of eyes in the room for radiologists.

Dr. Shah, says their algorithm was trained on large amounts of data gathered over nine years studying tuberculosis x-rays.

“Those x-rays could be used not only to look at TB, but we started looking at lung nodules as well. And we looked at 5 million of those.

That’s more than I would ever read, and maybe 10-fold more than I would ever read in my entire lifetime,” said Dr. Shah.

Through this vast amount of data, it learned what was and wasn’t a nodule.

Dr. Shah says they’re hopeful this application could result in a stage shift, catching lung cancer in stage one or two, and boosting survival rates to 60-70 percent.

“When it starts small and has not spread, and it can be removed, you’re talking about curative situation, which makes patients happy. But you know, that’s what the goal is for every oncologist. That’s what the goal is for every thoracic surgeon who’s involved, every pulmonologist. That’s what the aim is,” said Dr. Shah.

Qure.AI tackled lung cancer first because of the difficulty of detection. They say this technology is also incredibly positive for attacking other equally hard illnesses like breast cancer.

The University Hospitals radiology team on this study expects the data collection to go on another 9-10 months. If U.H. does move forward, they estimate implementing it a little more than a year from now.

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Ascendion Wins Gold as the Artificial Intelligence Service Provider of the Year in 2025 Globee® Awards

Published

28 minutes ago

July 7, 2025

The Editors

Awarded Gold for excellence in real-world AI implementation and measurable enterprise outcomes
Recognized for agentic AI innovation through ASCENDION AAVA platform, accelerating software delivery and unlocking business value at scale
Validated as a category leader in operationalizing AI across enterprise ecosystems—from generative and ethical AI to machine learning and NLP—delivering productivity, transparency, and transformation

BASKING RIDGE, N.J., July 7, 2025 /PRNewswire/ — Ascendion, a leader in AI-powered software engineering, has been awarded Gold as the Artificial Intelligence Service Provider of the Year in the 2025 Globee® Awards for Artificial Intelligence. This prestigious honor recognizes Ascendion’s bold leadership in delivering practical, enterprise-grade AI solutions that drive measurable business outcomes across industries.

Ascendion Wins Gold as the Artificial Intelligence Service Provider of the year in 2025 Globee® Awards

The Globee® Awards for Artificial Intelligence celebrate breakthrough achievements across the full spectrum of AI technologies including machine learning, natural language processing, generative AI, and ethical AI. Winners are recognized for setting new standards in transforming industries, enhancing user experiences, and solving real-world problems with artificial intelligence (AI).

“This recognition validates more than our AI capabilities. It confirms the bold vision that drives Ascendion,” said Karthik Krishnamurthy, Chief Executive Officer, Ascendion. “We’ve been engineering the future with AI long before it became a buzzword. Today, our clients aren’t chasing trends; they’re building what’s next with us. This award proves that when you combine powerful AI platforms, cutting-edge technology, and the relentless pursuit of meaningful outcomes, transformation moves from promise to fact. That’s Engineering to the Power of AI in action.”

Ascendion earned this recognition by driving real-world impact with its ASCENDION AAVA platform and agentic AI capabilities, transforming enterprise software development and delivery. This strategic approach enables clients to modernize engineering workflows, reduce technical debt, increase transparency, and rapidly turn AI innovation into scalable, market-ready solutions. Across industries like banking and financial services, healthcare and life sciences, retail and consumer goods, high-tech, and more, Ascendion is committed to helping clients move beyond experimentation to build AI-first systems that deliver real results.

“The 2025 winners reflect the innovation and forward-thinking mindset needed to lead in AI today,” said San Madan, President of the Globee® Awards. “With organizations across the globe engaging in data-driven evaluations, this recognition truly reflects broad industry endorsement and validation.”

About Ascendion

Ascendion is a leading provider of AI-powered software engineering solutions that help businesses innovate faster, smarter, and with greater impact. We partner with over 400 Global 2000 clients across North America, APAC, and Europe to tackle complex challenges in applied AI, cloud, data, experience design, and workforce transformation. Powered by +11,000 experts, a bold culture, and our proprietary Engineering to the Power of AI (EngineeringAI) approach, we deliver outcomes that build trust, unlock value, and accelerate growth. Headquartered in New Jersey, with 40+ global offices, Ascendion combines scale, agility, and ingenuity to engineer what’s next. Learn more at https://ascendion.com.

Engineering to the Power of AI™, AAVA™, EngineeringAI, Engineering to Elevate Life™, DataAI, ExperienceAI, Platform EngineeringAI, Product EngineeringAI, and Quality EngineeringAI are trademarks or service marks of Ascendion®. AAVA™ is pending registration. Unauthorized use is strictly prohibited.

About the Globee® Awards
The Globee® Awards present recognition in ten programs and competitions, including the Globee® Awards for Achievement, Globee® Awards for Artificial Intelligence, Globee® Awards for Business, Globee® Awards for Excellence, Globee® Awards for Cybersecurity, Globee® Awards for Disruptors, Globee® Awards for Impact. Globee® Awards for Innovation (also known as Golden Bridge Awards®), Globee® Awards for Leadership, and the Globee® Awards for Technology. To learn more about the Globee Awards, please visit the website: https://globeeawards.com.

SOURCE Ascendion

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AI Insights

Overcoming the Traps that Prevent Growth in Uncertain Times

Published

55 minutes ago

July 7, 2025

Rachel DuRose

An executive’s guide on developing a momentum-building game plan when the future is foggy. by Rachel DuRose

July 7, 2025

Today, with uncertainty a seemingly permanent condition, executives need to weave adaptability, resilience, and clarity into their operating plans. The best executives will implement strategies that don’t just sustain their businesses; they enable growth.

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AI Insights

AI-driven CDR: The shield against modern cloud threats

Published

2 hours ago

July 7, 2025

The Editors

Cloud computing is the backbone of modern enterprise innovation, but with speed and scalability comes a growing storm of cyber threats. Cloud adoption continues to skyrocket. In fact, by 2028, cloud-native platforms will serve as the foundation for more than 95% of new digital initiatives. The traditional perimeter has all but disappeared. The result? A significantly expanded attack surface and a growing volume of threats targeting cloud workloads.

Studies tell us that 80% of security exposures now originate in the cloud, and threats targeting cloud environments have recently increased by 66%, underscoring the urgency for security strategies purpose-built for this environment. The reality for organizations is stark. Legacy tools designed for static, on-premises architectures can’t keep up. What’s needed is a new approach—one that’s intelligent, automated, and cloud-native. Enter AI-driven cloud detection and response (CDR).

Why legacy tools fall short

Traditional security approaches leave organizations exposed. Posture management has been the foundation of cloud security, helping teams identify misconfigurations and enforce compliance. Security risks, however, don’t stop at misconfigurations or vulnerabilities.

Limited visibility: Cloud assets are ephemeral, spinning up and down in seconds. Legacy tools lack the telemetry and agility to provide continuous, real-time visibility.
Operational silos: Disconnected cloud and SOC operations create blind spots and slow incident response.
Manual burden: Analysts are drowning in alerts. Manual triage can’t scale with the velocity and complexity of cloud-native threats.
Delayed response: In today’s landscape, every second counts. 60% of organizations take longer than four days to resolve cloud security issues.

The AI-powered CDR advantage

AI-powered CDR solves these challenges by combining the speed of automation with the intelligence of machine learning—offering CISOs a modern, proactive defense. Organizations need more than static posture security. They need real-time prevention.

Real-time threat prevention detection: AI engines analyze vast volumes of telemetry in real time—logs, flow data, behavior analytics. The full context this provides enables the detection and prevention of threats as they unfold. Organizations with AI-enhanced detection reduced breach lifecycle times by more than 100 days.

Unified security operations: CDR solutions bridge the gap between cloud and SOC teams by centralizing detection and response across environments, which eliminates redundant tooling and fosters collaboration, both essential when dealing with fast-moving incidents.

Context-rich insights: Modern CDR solutions deliver actionable insights enriched with context—identifying not just the issue, but why the issue matters. It empowers teams to prioritize effectively, slashing false positives and accelerating triage.

Intelligent automation: From context enrichment to auto-containment of compromised workloads, AI-enabled automation reduces the manual load on analysts and improves response rates.

The path forward

Organizations face unprecedented pressure to secure fast-changing cloud environments without slowing innovation. Relying on outdated security stacks is no longer viable. Cortex Cloud CDR from Palo Alto Networks delivers the speed, context, and intelligence required to defend against the evolving threat landscape. With over 10,000 detectors and 2,600+ machine learning models, Cortex Cloud CDR identifies and prevents high-risk threats with precision.

It’s time to shift from reactive defense to proactive protection. AI-driven CDR isn’t just another tool—it’s the cornerstone of modern cloud security strategy. And for CISOs, it’s the shield your organization needs to stay resilient in the face of tomorrow’s threats.

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