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Soogyeong Shin

As seen in: Nature
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Predicting response to neoadjuvant therapy using artificial intelligence on digitized histopathology slides: a systematic review

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By Koen Kwakkenbos, Denise E. Hilling, Andrew P. Stubbs, Jifke F. Veenland, Michail Doukas, Cornelis Verhoef, Carolien H. M. van Deurzen, Farhan Akram, Soogyeong Shin, Jan H. von der Thüsen
| Nature Verified
Abstract Neoadjuvant therapy (NAT) is an important treatment strategy in surgical oncology, but not all patients benefit equally from it. This systematic review is the first to evaluate artificial intelligence (AI) models predicting NAT response from hematoxylin and eosin (H&E)-stained biopsies slides of solid tumors.
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