Andrew Srisuwananukorn

Dec 10, 2023 | newsbreak.com | Andrew Srisuwananukorn

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Dec 10, 2023 | targetedonc.com | Andrew Srisuwananukorn

Andrew Srisuwananukorn, MD, assistant professor at The Ohio State University Comprehensive Cancer Center, discusses the main findings from research of an artificial intelligence (AI)-powered machine learning algorithm which evaluated digital whole-slide images of diagnostic bone marrow biopsies and accurately differentiated prefibrotic primary myelofibrosis (pre-PMF) from essential thrombocythemia (ET).

Dec 10, 2023 | bpno.dk | Andrew Srisuwananukorn

december 2023 In this MEDtalk, Dr. Andrew Srisuwananukorn, Assistant Professor at The Ohio State University, introduces an innovative AI designed to differentiate between pre-fibrotic primary myelofibrosis and essential thrombocythemia, two rare and often confusable blood cancers.

Dec 9, 2023 | healio.com | Drew Amorosi |Mindy Valcarcel |Andrew Srisuwananukorn

You've successfully added Hematology Oncology: Myeloproliferative Neoplasms to your alerts. You will receive an email when new content is published. Click Here to Manage Email Alerts We were unable to process your request. Please try again later. If you continue to have this issue please contact [email protected]. Key takeaways: The AI-based algorithm demonstrated better than 90% accuracy for differentiating between diagnoses.

May 29, 2023 | nature.com | Andrew Srisuwananukorn |Jefree J. Schulte |Galina Khramtsova |Robert Grossman

Dataset descriptionThe Lung cGAN was trained on 941 whole-slide images (WSI) from The Cancer Genome Atlas (TCGA), including 467 slides from the lung adenocarcinoma project (TCGA-LUAD) and 474 slides from the lung squamous cell carcinoma project (TCGA-LUSC) (https://portal.gdc.cancer.gov/).