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

Deep Learning Artificial Intelligence Predicts Homologous Recombination Deficiency and Platinum Response From Histologic Slides

Menopausal Hormone Therapy and Ovarian and Endometrial Cancers: Long-Term Follow-Up of the Women's Health Initiative Randomized Trials Cancers with homologous recombination deficiency (HRD) can ...
eWeek

Deep Learning vs Generative AI: Understanding the Key Differences

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...