This is one of the key challenges the I3LUNG project is addressing.

By combining clinical, molecular and imaging data with advanced AI technologies, I3LUNG aims to improve the prediction of immunotherapy responses and support more personalized treatment decisions for patients with lung cancer.

We are proud to see our work in this recent article, featured by CORDIS, the European Commission‘s platform for showcasing the results of EU-funded research and innovation projects:

📖 𝐋𝐞𝐯𝐞𝐫𝐚𝐠𝐢𝐧𝐠 𝐀𝐈 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧𝐬 𝐨𝐟 𝐢𝐦𝐦𝐮𝐧𝐨𝐭𝐡𝐞𝐫𝐚𝐩𝐲 𝐢𝐧 𝐥𝐮𝐧𝐠 𝐜𝐚𝐧𝐜𝐞𝐫: link here

A big thank you to all partners contributing to this ambitious effort to bring AI closer to clinical practice and improve outcomes for patients.

#I3LUNG #LungCancer #AI #ArtificialIntelligence #Immunotherapy #PrecisionMedicine #CancerResearch #HorizonEurope #EuresearchResults #CordisEU

The post CORDIS: Leveraging AI for more reliable predictions of immunotherapy in lung cancer appeared first on I³LUNG.

Bringing together leading oncology experts, the session explored how artificial intelligence is transforming clinical trial design, real-world data analysis, and clinical decision-making, while addressing key challenges around ethics, equity, and responsible implementation.

We are proud to see Dr. Prelaj contributing to these important scientific discussions and helping shape the dialogue on the future of AI in oncology.

#I3LUNG #ArtificialIntelligence #AIinOncology #LungCancer #PrecisionOncology #ESMO2026 #CancerResearch

The post MEDTalk: AI in Oncology (ESMO26) appeared first on I³LUNG.

The study brings together clinical, imaging, pathology, genomic and AI data to investigate whether multimodal AI can help predict outcomes for patients with NSCLC receiving immunotherapy.

But perhaps the most interesting question was not simply: “Can AI predict?”
It was: “Can AI actually help clinicians make better predictions?”

In our clinical usability study, both lung cancer experts and non-expert physicians improved their predictions when supported by an explainable #AI tool.

For I3LUNG, this is an important distinction: the goal is not AI replacing clinical expertise, but AI becoming a useful, explainable partner in clinical decision-making.

And the story doesn’t end with this publication: Prospective validation of the I3LUNG decision-support system is already ongoing in more than 2,000 patients. 🚀

𝗔 𝗵𝘂𝗴𝗲 𝘁𝗵𝗮𝗻𝗸 𝘆𝗼𝘂 to all the patients, clinicians, researchers, institutions and collaborators who made this work possible, and to the entire #I3LUNG community for turning a very ambitious idea into a great project and framework for future research in multimodal AI!

Read paper here.

The post I3LUNG has been published in Nature Medicine appeared first on I³LUNG.

In few days, the I3LUNG consortium comes together for our Annual Meeting, a key milestone as we enter the final sprint of our project.

Over the past years, our partners have worked collaboratively to advance AI-driven decision support for lung cancer screening and care. Now, we are ready to focus our energy on the last phase: consolidating results, strengthening our impact, and maximising the project’s legacy.

One more sprint, let’s make it count!

Go team! 💙🫁🇪🇺💪🏻

The post Countdown for our 5th Annual Meeting is ON appeared first on I³LUNG.

This was an excellent opportunity to illustrate the different advancements the project is making to strengthen individualized treatment decision-making, from AI-supported diagnosis to decision support solutions for clinicians, in front of a packed room of more than 200 engaged professionals.

AI is increasingly present in oncology workflows and we’re happy to interface with fellow experts and this many high-level initiatives. 🙌🏻🤖👨🏻‍⚕️👩🏼‍⚕️

The post Treatment prediction: from Predictive to Generative AI Tools appeared first on I³LUNG.

We had an engaged group of 8 participants, and while we couldn’t cover everything planned, the discussion naturally focused on:

🇪🇺 Patient consent, GDPR, and medical research
🇪🇺 When the AI Act and MDR apply to AI-based tools in healthcare
🇪🇺 International data transfers under GDPR

What stood out most was the strong interest in the real-world application of these regulations in medical AI research.

Many thanks to the participants that showed up and to our #I3LUNG team for the work 💪🏻🫁💙

The post Workshop: navigating the EU regulatory framework for international AI-driven medical research appeared first on I³LUNG.

🗣️ Workshop title: Navigating the EU Regulatory Maze to Conduct International Medical Research Developing AI
📍 Location: Maison de la Poste
🕒 Date & time: Friday, 22 May | 14:15–15:30 CET
🌍 Conference: CPDP 2026 – Computers, Privacy and Data Protection

The session will explore the regulatory and data protection challenges surrounding international AI-driven medical research across Europe.

➡️ More information here:
https://lnkd.in/d2FCHYMA

➡️ Check video on Linkedin

The post Workshop at Computers, Privacy and Data Protection Conference (CPDP) appeared first on I³LUNG.

The #I3LUNG partners are involved in these sessions:

➡️ Bias at the source: understanging and mitigating data imbalances in NSCLC and immunotherapy (Vanja Mišković)
➡️ AI-driven pathology in clinical practice: head and neck and other cancrs example use case (Alexander Pearson)
➡️ LLMs for target and drug discovery: a personalized therapy for every single patient (Matteo Sacco)
➡️ Transforming oncology patient journey with agentic AI (Francesco Trovò)

Of course Arsela Prelaj as co-president of the conference.
And Helena Linardou and Alessandra Pedrocchi as part of the scientific committee.

Find the program and more information here: https://lnkd.in/dReRmhz4

The post ESAC: First Annual Meeting (AI for oncology) appeared first on I³LUNG.

As cancer care shifts toward biomarker-driven, AI-supported treatment decisions, many existing NSCLC models still overlook diagnostic performance and misclassification, despite their critical impact on patient outcomes.

Based on a review of 237 published models, this work calls for a shift toward modelling treatment strategies, linking decision rules, treatment assignment, and patient pathways over time.

It also highlights the role of open-source platforms in improving transparency, validation, and collaboration in increasingly complex decision-making.

🔗 https://lnkd.in/dqUjSp7Z

#HealthEconomics #EuropeanFundedProject

The post 2026 Swedish Health Economics Conference (SHEA) appeared first on I³LUNG.

An achievement that recognizes the transformative potential (and initial successes) of #AI for cancer care and research!

What a meaningful milestone that inspires us to continue pushing innovation forward for patients, researchers, and the future of oncology and AI. 🤖💙

#GoTeamI3LUNG

The post We gained the first prize in the “Innovators Category” appeared first on I³LUNG.