Nature

Deviation-support based fuzzy ensemble of multi-modal deep learning classifiers for breast cancer prognosis prediction

Breast cancer, the most commonly diagnosed cancer globally, has exceeded lung cancer in diagnoses, with 2,261,419 cases reported in women in 2020 according to the ...
Nature

Deep-WET: a deep learning-based approach for predicting DNA-binding proteins using word embedding techniques with weighted features

DNA-binding proteins (DBPs) play a significant role in all phases of genetic processes, including DNA recombination, repair, and modification. They are often utilized in drug discovery as fundamental ...
ascopubs.org

Comparison of whole slide image–based deep learning algorithms and genomic classifiers for assessing the risk of prostate cancer metastasis in surgically treated patients.

Utilization of genetic counseling and testing for patients with prostate cancer following integration of a genetic counselor into a genitourinary cancer clinic. This is an ASCO Meeting Abstract from ...
ascopubs.org

Utility of deep versatile classifier for accurate subtyping of lung adenocarcinoma using hematoxylin-eosin images.

Adaptive AI-driven clinical decision-making in oncology through digital twins and large-scale imaging biomarkers. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract ...