Douglas Flora: Starting the Volume 2 of AI in Precision Oncology
Douglas Flora, Executive Medical Director of Oncology Services at St. Elizabeth Healthcare, shared a post on LinkedIn by Mary Ann Liebert, adding:
“AI in Precision Oncology call for papers!
I’m excited to announce the start of Volume 2, bringing a new year of advancements and compelling topics to our young publication. We are now seeking strong manuscripts for our June issue. I’d love to see your original research, reviews or mini-reviews, or any interesting front matter on AIPO topics of your choosing.
Thank you to all who have supported this young title. This enthusiastic audience of ‘early adopters’ has now surpassed 27k full downloads and continue to gain momentum each week!
Subscriptions rolling in from all over the globe, including from many of our most respected academic NCI designates. If you haven’t already, consider an individual subscription, or petition your institutional librarian to subscribe.
And finally, if your company is interested in:
- Advertising
- Webinars
- Special issues
- Other collaborations
Please DM me for questions or if you’d like introductions to our exceptional sales team at Mary Ann Liebert.”
Quoting Mary Ann Liebert’s post about a paper by Aaron Cohen et al. published in AI in Precision Oncology:
“AI is revolutionizing cancer care! Imagine an oncologist sorting through handwritten lab reports to find a single test result that could change a patient’s treatment. Now, imagine AI doing that across millions of patients – in seconds—with expert-level accuracy.
A new study in AI in Precision Oncology showcases how fine-tuned large language models (LLMs) extract PD-L1 biomarker details from electronic health records with unprecedented accuracy and efficiency – a game-changer for oncologists and researchers.
Unlike traditional deep learning, these AI systems adapt to real-world medical documentation, transforming scattered data into immediate, actionable insights for precision medicine.
Led by Aaron Cohen, Blythe Adamson, Jonathan Larch, and Guy Amster, with Flatiron Health, this research has the power to accelerate clinical trial enrollment and enhance patient care. Special recognition to Blythe Adamson, one of our esteemed AIPO editors, for her continued contributions to AI-driven oncology advancements!
Explore the full study in our latest issue.”
“Large Language Model Extraction of PD-L1 Biomarker Testing Details From Electronic Health Records”
Authors: Aaron Cohen, Blythe Adamson, Jonathan Kelly Larch, and Guy Amster.
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