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1. Glaucoma Diagnosis Through the Integration of Optical Coherence Tomography/Angiography and Machine Learning Diagnostic Models

2. Predicting Parkinson's disease trajectory using clinical and functional MRI features: a reproduction and replication study

3. Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data

4. S201: FINAL 7‐YEAR FOLLOW UP AND RETREATMENT SUBSTUDY ANALYSIS OF MURANO: VENETOCLAX‐RITUXIMAB (VENR)‐TREATED PATIENTS WITH RELAPSED/REFRACTORY CHRONIC LYMPHOCYTIC LEUKEMIA (R/R CLL)

6. MURANO: Final 7 year follow up and retreatment analysis in venetoclax‐rituximab (VenR)‐treated patients with relapsed/refractory chronic lymphocytic leukemia (R/R CLL)

7. UQ-ARMED: Uncertainty quantification of adversarially-regularized mixed effects deep learning for clustered non-iid data

8. Longitudinal Prognosis of Parkinsons Outcomes using Causal Connectivity

9. DC and SA: Robust and Efficient Hyperparameter Optimization of Multi-subnetwork Deep Learning Models

10. Adversarially-regularized mixed effects deep learning (ARMED) models for improved interpretability, performance, and generalization on clustered data

11. Atezolizumab, venetoclax, and obinutuzumab combination in Richter transformation diffuse large B-cell lymphoma (MOLTO): a multicentre, single-arm, phase 2 trial

12. Novel Machine Learning Approaches for Improving the Reproducibility and Reliability of Functional and Effective Connectivity from Functional MRI

14. Activity of venetoclax in patients with relapsed or refractory chronic lymphocytic leukaemia: analysis of the VENICE-1 multicentre, open-label, single-arm, phase 3b trial

16. Impact of the Types and Relative Quantities of IGHV Gene Mutations in Predicting Prognosis of Patients With Chronic Lymphocytic Leukemia

19. Longitudinal prognosis of Parkinson’s outcomes using causal connectivity

20. Polarized Fock States for Polariton Photochemistry

21. Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum Disorder

22. Prediction of individual progression rate in Parkinson's disease using clinical measures and biomechanical measures of gait and postural stability

23. Improved motion correction for functional MRI using an omnibus regression model

24. Risk factors for grade 3/4 transaminase elevation in patients with chronic lymphocytic leukemia treated with idelalisib

25. Venetoclax Plus Rituximab in Relapsed Chronic Lymphocytic Leukemia: 4-Year Results and Evaluation of Impact of Genomic Complexity and Gene Mutations From the MURANO Phase III Study

28. Anatomically-Informed Data Augmentation for functional MRI with Applications to Deep Learning

29. Final analysis from RESONATE: Up to six years of follow‐up on ibrutinib in patients with previously treated chronic lymphocytic leukemia or small lymphocytic lymphoma

31. Social Innovation or Societal Change? Rethinking Innovation in Bottom-Up Transformation Processes Starting from Three Cases in Rome’s Suburbs

34. Association between resting-state functional brain connectivity and gene expression is altered in autism spectrum disorder

35. Enduring undetectable MRD and updated outcomes in relapsed/refractory CLL after fixed-duration venetoclax-rituximab

42. Reproducible neuroimaging features for diagnosis of autism spectrum disorder with machine learning

44. Extended follow-up and impact of high-risk prognostic factors from the phase 3 RESONATE study in patients with previously treated CLL/SLL

45. Do age, fitness, and concomitant medications influence management and outcomes of patients with CLL treated with ibrutinib?

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