Joined February 2022
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209 Photos and videos
14 Nov 2025
How can we use AI to develop precision biomarkers by Gabriele Campanella
• Computational biomarker : less exhaustive (tissue) and shorter turn around time ⏩️ an ideal test indeed
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14 Nov 2025
✅️Potential Impact:
• faster TAT
• avoid a portion of rapid tests
• inc tissue availability fot NGS
• dec need for re biopsies
Ultimately leads to ➡️ improve cancer care
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14 Nov 2025
Role of AI in predicting drug activity by Marina Garassino
✅️ 80-90% Phase I success rates for AI designed drugs
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14 Nov 2025
•Clinical trials are moving so fast, but knowledge cannot keep up
• another challenge : less no. Of patients eligible for targeted therapy trials
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14 Nov 2025
• role of AI in drug development is huge ➡️ high potential esp in different phases of clinical trial implementation (but might still be far to date)
"The future is in science of science"
@marinagarassino
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14 Nov 2025
Use of generative AI for teaching: How are we educationg doctors of the future? By Ramona Woitek
Utility of AI in medical education:
• generation of clinical vignettes ➡️ but it is not perfect, still need to check for errors (spelling, etc)
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14 Nov 2025
AI literacy for Oncologists by Anita Grigoriadis
Initial concerns of clinicians re: AI
• trust issues that include privacy concerns and AI being a "black box"
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14 Nov 2025
Goal: convert black box to "glass box" ➡️ unmasking the uncertainties of AI for clinicians
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14 Nov 2025
What medical doctors should know about AI by Joost Huiskens
Challenge: more than 95% of health data is unstructured multimodal data
Microsoft is now working of tapping multiple agents in AI
Ex #MedImageParse
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14 Nov 2025
Clear indication in automization of molecular tumor boards ➡️ further democratization of health care
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14 Nov 2025
In summary:
What doctors should know about AI:
• apps & agents
• data and AI platform
• infrastructure
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13 Nov 2025
Identification of a very low risk subgroup in breast cancer using a combination of spatial representation and AI-derived prognostic markers by Constance Boissin
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13 Nov 2025
• tumor heterogeneity is known to be involved in increased proliferation of the tumors
• intermediate risk pts: ER /HER2- (training set)- 12 year survival:
❗️ high risk patients: 93%
✅️ low risk patients: 97.2% (p <0.001)
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13 Nov 2025
Conclusion:
• absence of DeepGrade high clusters constitutes an independent prognostic marker ➡️ identifying low-risk patients
• study highlights that spatial distribution of AI-markers requires stronger attention (prospective studies underway)
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13 Nov 2025
How to use AI to balance patient and physician perspectives by Suzette Delaloge
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13 Nov 2025
❗️The downside of AI in HCP-Patient Interactions
- shift attention away from the patient
- undermines clinical intuition and trust
- create a 'data power imbalance'
- could accelerate burnout instead of relieving it
- erodes moral dimension of medicine
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13 Nov 2025
In conclusion
- little experience so far in oncology beyond image-based AI
- AI has the potential to facilitate and amplify human interactions
- help & guide patients and communicate on recommendations
- follow the recently published ELCAP guidelines
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