Results 191 to 200 of about 295,552 (260)
Deep learning interpretability in neuroimaging: A comprehensive survey and methodological recommendations. [PDF]
Rahman MM, Calhoun V, Plis S.
europepmc +1 more source
Chemotherapy side effects significantly impact cancer survivors' quality of life. Using protein levels in blood samples from breast cancer patients before and after 12 weeks of taxane treatment, we detected treatment‐dependent changes in calcium signaling and aging pathways associated with cancer recurrence.
Saira Munshani +6 more
wiley +1 more source
Adaptive example selection for prototype based explainable mitosis detection in digital pathology. [PDF]
Banik M +4 more
europepmc +1 more source
A novel signature integrating genome‐wide analysis with clinical factors predicts recurrence in stage II colorectal cancer and enables a new risk stratification to guide postoperative adjuvant chemotherapy. Clinical risk stratification for postoperative recurrence in patients with pathological stage II (pStage II) colorectal cancer (CRC) is essential ...
Mayuko Otomo +7 more
wiley +1 more source
Interpreting artificial neural network-based modeling of 4 H-SiC mosfets using explainable AI. [PDF]
Hsiao YS +8 more
europepmc +1 more source
This study aimed to evaluate the prognostic value of ELN2017 in predicting survival outcomes and to assess the impact of clinical and molecular factors such as age, FLT3 and NPM1 mutations, and allogeneic hematopoietic stem cell transplantation (allo‐HSCT).
Mobina Shrestha +4 more
wiley +1 more source
Research on cross-dataset cardiac signal domain generalization and feature interpretability. [PDF]
Li R, Aierken Y, Xu Y, Liu J, Tang Y.
europepmc +1 more source
Long‐Term Follow‐Up of Chemotherapy‐Associated Biological Aging in Women With Early Breast Cancer
Women threated with adjuvant chemotherapy for early breast cancer have sustained long‐term increase in p16INK4a,, a robust marker of cell senescence, suggesting a chemotherapy‐associated age acceleration. p16INK4a as well as other biomarkers may identify patients at greatest risk for senescence‐related diseases of aging.
Hyman B. Muss +12 more
wiley +1 more source

