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Flatiron Health Research on AI-Driven Cancer Progression Extraction Presented at AACR Special Conference in Cancer Research: Artificial Intelligence and Machine Learning 2025

Published

3 days ago

July 15, 2025

Admin 5

Flatiron Health presents two new pieces of research demonstrating the potential of AI to advance oncology research across multiple tumor types

NEW YORK–(BUSINESS WIRE)–Flatiron Health today announced that the novel findings from its research, “Using large language models for scalable extraction of real-world progression events across multiple cancer types,” have been presented at the American Association for Cancer Research (AACR) Special Conference in Cancer Research: Artificial Intelligence and Machine Learning, which took place July 10-12, 2025, in Montreal, QC, Canada.

The research, led by a multidisciplinary Flatiron team of clinicians, research scientists, and machine learning engineers, demonstrates the power of large language models (LLMs) to accurately and efficiently extract real-world cancer progression events from unstructured electronic health record (EHR) data across 14 cancer types. Study findings concluded that LLMs achieved F1 scores similar to expert human abstractors and produced nearly identical real-world progression-free survival estimates, underscoring the potential of AI to scale high-quality clinical endpoint extraction for oncology research and care. This research utilized on the recently published Validation of Accuracy for LLM/ML-Extracted Information and Data (VALID) Framework to assess the quality of LLM-extracted real-world data, uniquely evaluating both the LLM and an expert human abstractor against a duplicate expert human abstracted reference dataset to directly compare performance.

The LLM that Flatiron scientists optimized for this research was provided by Anthropic—the leading AI safety and research company that builds the Claude family of models.

“AI and machine learning are fundamentally transforming how we generate and use real-world evidence in oncology,” said Stephanie Reisinger, Senior Vice President & General Manager, Real-World Evidence at Flatiron Health. “This research exemplifies how Flatiron is harnessing AI and multimodal data to unlock new insights from oncology real-world data—accelerating clinical research, improving patient outcomes, and setting a new standard for evidence generation in cancer care.”

“We’re excited to share evidence that large language models can approach, and in some cases, may even exceed expert human performance in extracting critical and clinically nuanced cancer progression endpoints from EHRs,” said Aaron B. Cohen, MD, lead author, Head of Research Oncology, Clinical Data at Flatiron Health and practicing oncologist at Bellevue Hospital in New York City. “Scalable, high-quality extraction of such an important and complex endpoint like progression will open new doors for novel research, predictive modeling, and more personalized patient care.”

In addition to this work, Flatiron Health will also present “Fairness by design: End-to-end bias evaluation for LLM-generated data,” further highlighting the company’s leadership in applying AI and real-world data to advance oncology research. Specifically, this study demonstrates the VALID framework’s ability to evaluate both the quality and fairness of LLM-extracted data, highlighting the importance of ongoing bias assessment.

About Flatiron Health

Flatiron Health is a healthtech company expanding the possibilities for point of care solutions in oncology and using data for good to power smarter care for every person with cancer. Through machine learning and AI, real-world evidence, and breakthroughs in clinical trials, we continue to transform patients’ real-life experiences into knowledge and create a more modern, connected oncology ecosystem. Flatiron Health is an independent affiliate of the Roche Group.

Contacts

Media Contact:

Nina Toor

press@flatiron.com

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AI isn’t just for coders: 7 emerging non-tech career paths in artificial intelligence

Published

2 hours ago

July 18, 2025

Admin 5

7 emerging non-tech career paths in artificial intelligence

Artificial intelligence is no longer the future. It’s already shaping how we live, work, and learn. From smart assistants to personalised learning apps and automated hiring tools, AI is now part of everyday life. But here’s something many students still don’t realise — you don’t have to be a computer science genius to build a meaningful career in AI.In 2025, AI needs more than just coders. It needs people who understand ethics, design, communication, psychology, policy, and human behaviour. Whether you’re studying law, liberal arts, design, economics, or media, there is space for you in this fast-growing field. These emerging roles are all about making AI more responsible, more human, and more useful.Here are seven exciting non-tech career paths in artificial intelligence that you can start exploring now.

AI ethics specialist

AI systems make decisions that can affect real lives — from who gets hired to who receives a loan. That’s why companies and governments need experts who can guide them on what’s fair, what’s biased, and what crosses a line. Ethics specialists work closely with developers, legal teams, and product leaders to make sure AI is built and used responsibly.Best suited for: Students from philosophy, sociology, law, or political science backgroundsWhere to work: Tech companies, research institutes, policy think tanks, or digital rights NGOs

AI UX and UI designer

AI tools need to be easy to use, intuitive, and accessible. That’s where design comes in. AI UX and UI designers focus on creating smooth, human-centered experiences, whether it’s a chatbot, a virtual assistant, or a smart home interface. They use design thinking to make sure AI works well for real users.Best suited for: Students of psychology, graphic design, human-computer interaction, or visual communicationWhere to work: Tech startups, health-tech and ed-tech platforms, voice and interface design labs

AI policy analyst

AI raises big questions about privacy, rights, and regulation. Governments and organisations are racing to create smart policies that balance innovation with safety. AI policy analysts study laws, write guidelines, and advise decision-makers on how to manage the impact of AI in sectors like education, defense, healthcare, and finance.Best suited for: Public policy, law, international relations, or development studies studentsWhere to work: Government agencies, global institutions, research bodies, and policy units within companies

AI behavioural researcher

AI tools influence human behaviour — from how long we scroll to what we buy. Behavioural researchers look at how people respond to AI and what changes when technology gets smarter. Their insights help companies design better products and understand the social effects of automation and machine learning.Best suited for: Students of psychology, behavioural economics, sociology, or educationWhere to work: Tech companies, research labs, social impact startups, or mental health platforms

AI content strategist and explainer

AI is complex, and most people don’t fully understand it. That’s why companies need writers, educators, and content creators who can break it down. Whether it’s writing onboarding guides for AI apps or creating videos that explain how algorithms work, content strategists make AI easier to understand for everyday users.Best suited for: Students of journalism, English, media studies, marketing, or communicationWhere to work: Ed-tech and SaaS companies, AI product teams, digital agencies, or NGOs

AI program manager

This role is perfect for big-picture thinkers who love connecting people, processes, and purpose. Responsible AI program managers help companies build AI that meets ethical, legal, and user standards. They coordinate between tech, legal, and design teams and ensure that AI development stays aligned with values and global standards.Best suited for: Business, liberal arts, management, or public administration studentsWhere to work: Large tech firms, AI consultancies, corporate ethics teams, or international development agencies

AI research associate (non-technical)

Not all AI research is about coding. Many labs focus on the social, psychological, or economic impact of AI. As a research associate, you could be studying how AI affects jobs, education, privacy, or cultural behaviour. Your work might feed into policy, academic papers, or product design.Best suited for: Students from linguistics, anthropology, education, economics, or communication studiesWhere to work: Universities, research labs, global think tanks, or ethics institutesThe world of AI is expanding rapidly, and it’s no longer just about math, code, and machines. It’s also about people, systems, ethics, and storytelling. If you’re a student with curiosity, critical thinking skills, and a passion for meaningful work, there’s a place for you in AI — even if you’ve never opened a programming textbook.TOI Education is on WhatsApp now. Follow us here.

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Google AI Mode is getting a bigger AI brain from Gemini

Published

2 hours ago

July 18, 2025

Eric Hal Schwartz

Google has upgraded its AI Mode with the advanced Gemini 2.5 Pro
AI Mode has also added Deep Search, which can now run hundreds of background searches
A new calling tool built into Search lets Google call businesses on your behalf

Google is continuing to try to get you to use its AI Mode when searching online with new and enhanced AI tools. The conversational search tool has made Google’s Gemini 2.5 Pro AI model available in AI Mode, along with the long-form report writing tool Deep Search.

Google AI Pro and AI Ultra subscribers in the U.S. who are also part of the AI Mode experiment in Search Labs will now see an option to choose Gemini 2.5 Pro when asking tough questions as well.

This is the same heavyweight model behind Google’s most advanced AI tools. They’ll also have the option of using Deep Search, a feature available in the regular Gemini app that can simultaneously run hundreds of searches and will write up a report piecing together the information.

The more profound changes, though, are in how Search itself is evolving. Gemini 2.5 Pro doesn’t just fetch answers. It reasons. It explains math in full steps. It even writes code and tells you what that code is doing. And when paired with Deep Search, it can essentially conduct a research marathon on your behalf.

AI calling in

The new call feature for Search is something entirely different. It connects your search for information about a store to a phone call with AI. As Google shows in a demo, you can type “pet groomers near me” and ask for information not immediately accessible.

Instead, you can tap “Have Google call for you,” which will prompt Google to call local shops, ask about availability or rates, and then text or email the results directly to you. If that sounds like Google Duplex, that’s because Google’s Duplex technology powers it.

Of course, all this comes with a few asterisks such as having to pay for a subscription. Free users still get some limited AI call attempts, but the advanced AI Mode tools are reserved for paying customers.

Google’s advantage over other AI developers is the sheer size of its Search database, so even as OpenAI and others attempt to produce similar products, Google might have a lasting edge. Still, there’s a learning curve.

AI that does too much too fast can lead to problems. You don’t want your research assistant skipping over credible sources in favor of a Reddit thread with 38 upvotes. And you certainly don’t want your AI calling the wrong person to schedule a colonoscopy.

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Teachers gather to talk artificial intelligence in the classroom

Published

5 hours ago

July 18, 2025

Nicki Marker

HUNTSVILLE, Ala (WHNT) — Our world is constantly evolving, and lately, a lot of that evolution has been in the form of artificial intelligence.

“This is the future,” Kala Grice-Dobbins said. “It’s not going away, and we want our teachers to be informed, but also our students to be informed.”

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Grice-Dobbins is a cybersecurity teacher with the Madison County School System.

Thursday, more than 150 teachers from across North Alabama gathered to talk about AI and the use of it in the classroom.

“It’s clearly a novel technology– new for kids, new for teachers, and they’re trying to figure out how to use it,” Randy Sparkman said. “So we’re just trying to bring resources and bring these, Madison County districts, particularly, together to talk about strategies for using AI in the new school year.”

Sparkman is a part of Mayor Tommy Battle’s AI task force. They put on the AI in education event.

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Grace-Dobbins said she uses AI for help with things like lesson plans and recommendation letters.

“All of us use templates every day,” she said. “Why can’t it be our template to start with, and then we edit it because nothing’s perfect when it comes out.”

She said it’s easier than you think to spot students plagiarizing by using the tool.

“It’s not going to be your top of the line type paper,” she said. “It’s not going to be written in their kind of language. It’s not going to have their kind of thoughts involved, and so the more you know your students, you’re going to know this is not you.”

Angela Evans is also a teacher. She said she’s already been using AI in her classroom for years.

She has a message for those who may be skeptical. What she’d tell people.

“Don’t be scared because change is nature,” she said. “We are going to progress our humanity. Our intelligence is going to continue to progress.

For the latest news, weather, sports, and streaming video, head to WHNT.com.

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