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Emerging role of deep learning‐based artificial intelligence in tumor pathology
The development of digital pathology and progression of state‐of‐the‐art algorithms for
computer vision have led to increasing interest in the use of artificial intelligence (AI) …
computer vision have led to increasing interest in the use of artificial intelligence (AI) …
[HTML][HTML] Artificial intelligence in digital breast pathology: techniques and applications
Breast cancer is the most common cancer and second leading cause of cancer-related
death worldwide. The mainstay of breast cancer workup is histopathological diagnosis …
death worldwide. The mainstay of breast cancer workup is histopathological diagnosis …
TranSynergy: Mechanism-driven interpretable deep neural network for the synergistic prediction and pathway deconvolution of drug combinations
Q Liu, L ** a predictive model for early-age-onset colorectal neoplasia using electronic health records
Background and aims The incidence of colorectal cancer (CRC) is increasing in adults
younger than 50, and early screening remains challenging due to cost and under-utilization …
younger than 50, and early screening remains challenging due to cost and under-utilization …
Designing combination therapies with modeling chaperoned machine learning
Chemotherapy resistance is a major challenge to the effective treatment of cancer. Thus, a
systematic pipeline for the efficient identification of effective combination treatments could …
systematic pipeline for the efficient identification of effective combination treatments could …