Found: 11
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Potential Contribution of Pulmonary Thromboembolic Disease in Pulmonary Hypertension in Sickle Cell Disease.
- Published in:
- 2020
- By:
- Publication type:
- letter
Deep learning generates synthetic cancer histology for explainability and education.
- Published in:
- NPJ Precision Oncology, 2023, v. 7, n. 1, p. 1, doi. 10.1038/s41698-023-00399-4
- By:
- Publication type:
- Article
Equivalent thrombotic risk with Warfarin, Dabigatran, or Enoxaparin after failure of initial direct oral anticoagulation (DOAC) therapy.
- Published in:
- Journal of Thrombosis & Thrombolysis, 2024, v. 57, n. 5, p. 871, doi. 10.1007/s11239-024-02978-z
- By:
- Publication type:
- Article
Reduced skeletal muscle function is associated with decreased fiber cross-sectional area in the Cy/+ rat model of progressive kidney disease.
- Published in:
- Nephrology Dialysis Transplantation, 2016, v. 31, n. 2, p. 223, doi. 10.1093/ndt/gfv352
- By:
- Publication type:
- Article
Predictors and clinical complications associated with antiphospholipid antibodies in sickle cell disease.
- Published in:
- EJHaem, 2023, v. 4, n. 1, p. 211, doi. 10.1002/jha2.643
- By:
- Publication type:
- Article
Effects of renin‐angiotensin blockade and APOL1 on kidney function in sickle cell disease.
- Published in:
- EJHaem, 2021, v. 2, n. 3, p. 483, doi. 10.1002/jha2.259
- By:
- Publication type:
- Article
Type 2 diabetes mellitus burdens among adults with sickle cell disease: A 12‐year single health system‐based cohort analysis.
- Published in:
- EJHaem, 2021, v. 2, n. 1, p. 97, doi. 10.1002/jha2.161
- By:
- Publication type:
- Article
Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology.
- Published in:
- Nature Communications, 2022, v. 13, n. 1, p. 1, doi. 10.1038/s41467-022-34025-x
- By:
- Publication type:
- Article
How to customize common data models for rare diseases: an OMOP-based implementation and lessons learned.
- Published in:
- Orphanet Journal of Rare Diseases, 2024, v. 19, n. 1, p. 1, doi. 10.1186/s13023-024-03312-9
- By:
- Publication type:
- Article
Integration of clinical features and deep learning on pathology for the prediction of breast cancer recurrence assays and risk of recurrence.
- Published in:
- NPJ Breast Cancer, 2023, v. 9, n. 1, p. 1, doi. 10.1038/s41523-023-00530-5
- By:
- Publication type:
- Article
Slideflow: deep learning for digital histopathology with real-time whole-slide visualization.
- Published in:
- BMC Bioinformatics, 2024, v. 25, n. 1, p. 1, doi. 10.1186/s12859-024-05758-x
- By:
- Publication type:
- Article