Toward explainable artificial intelligence for precision pathology
The rapid development of precision medicine in recent years has started to challenge
diagnostic pathology with respect to its ability to analyze histological images and …
diagnostic pathology with respect to its ability to analyze histological images and …
International consensus statement on allergy and rhinology: sinonasal tumors
EC Kuan, EW Wang, ND Adappa… - International forum of …, 2024 - Wiley Online Library
Background Sinonasal neoplasms, whether benign and malignant, pose a significant
challenge to clinicians and represent a model area for multidisciplinary collaboration in …
challenge to clinicians and represent a model area for multidisciplinary collaboration in …
Precision cancer medicine: Concepts, current practice, and future developments
A Edsjö, L Holmquist, B Geoerger… - Journal of Internal …, 2023 - Wiley Online Library
Precision cancer medicine is a multidisciplinary team effort that requires involvement and
commitment of many stakeholders including the society at large. Building on the success of …
commitment of many stakeholders including the society at large. Building on the success of …
[HTML][HTML] Targeting isocitrate dehydrogenase (IDH) in solid tumors: Current evidence and future perspectives
F Carosi, E Broseghini, L Fabbri, G Corradi, R Gili… - Cancers, 2024 - mdpi.com
Simple Summary Isocitrate dehydrogenase 1 and 2 (IDH1 and IDH2) are essential
metabolic enzymes involved in the tricarboxylic acid (TCA) cycle. Several mutations in IDH …
metabolic enzymes involved in the tricarboxylic acid (TCA) cycle. Several mutations in IDH …
DNA methylation-based classifier differentiates intrahepatic pancreato-biliary tumours
MP Dragomir, TG Calina, E Perez, S Schallenberg… - …, 2023 - thelancet.com
Background Differentiating intrahepatic cholangiocarcinomas (iCCA) from hepatic
metastases of pancreatic ductal adenocarcinoma (PAAD) is challenging. Both tumours have …
metastases of pancreatic ductal adenocarcinoma (PAAD) is challenging. Both tumours have …
Proceedings of the 2023 North American Society of Head and Neck Pathology Companion Meeting, New Orleans, LA, March 12, 2023: navigating new developments …
LM Rooper - Head and Neck Pathology, 2023 - Springer
Although the definitions of sinonasal neuroendocrine and neuroectodermal neoplasms did
not change substantially in the 5th edition WHO Classification of Head and Neck Tumours …
not change substantially in the 5th edition WHO Classification of Head and Neck Tumours …
Prediction of DNA methylation-based tumor types from histopathology in central nervous system tumors with deep learning
Precision in the diagnosis of diverse central nervous system (CNS) tumor types is crucial for
optimal treatment. DNA methylation profiles, which capture the methylation status of …
optimal treatment. DNA methylation profiles, which capture the methylation status of …
Recent advances in epigenetic anticancer therapeutics and future perspectives
L Ren, Y Yang, W Li, H Yang, Y Zhang, B Ge… - Frontiers in …, 2023 - frontiersin.org
Tumor development is frequently accompanied by abnormal expression of multiple genomic
genes, which can be broadly viewed as decreased expression of tumor suppressor genes …
genes, which can be broadly viewed as decreased expression of tumor suppressor genes …
EpiDiP/NanoDiP: a versatile unsupervised machine learning edge computing platform for epigenomic tumour diagnostics
J Hench, C Hultschig, J Brugger, L Mariani… - Acta Neuropathologica …, 2024 - Springer
DNA methylation analysis based on supervised machine learning algorithms with static
reference data, allowing diagnostic tumour typing with unprecedented precision, has quickly …
reference data, allowing diagnostic tumour typing with unprecedented precision, has quickly …
[HTML][HTML] Preemptively pruning Clever-Hans strategies in deep neural networks
Robustness has become an important consideration in deep learning. With the help of
explainable AI, mismatches between an explained model's decision strategy and the user's …
explainable AI, mismatches between an explained model's decision strategy and the user's …