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50 results on '"Jha, Alokkumar"'

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1. Assessment of Clonal Hematopoiesis of Indeterminate Potential from Cardiac Magnetic Resonance Imaging using Deep Learning in a Cardio-oncology Population

3. A community challenge to evaluate RNA-seq, fusion detection, and isoform quantification methods for cancer discovery

5. Abstract 17610: A Novel Approach Using Deep Neural Networks on Clinical Cardiac MRIs Can Identify Patients With Clonal Hematopoiesis of Indeterminate Potential With High Accuracy

11. Somatic Variants Acquired Later in Life Associated with Thoracic Aortic Aneurysms: JAK2 V617F.

13. Ranked MSD: A New Feature Ranking and Feature Selection Approach for Biomarker Identification

14. Using Machine Learning to Distinguish Infected from Non-infected Subjects at an Early Stage Based on Viral Inoculation

15. Linked Data Based Multi-omics Integration and Visualization for Cancer Decision Networks

16. FedS: Towards Traversing Federated RDF Graphs

18. Drug Dosage Balancing Using Large Scale Multi-omics Datasets

28. 249-LB: PAX4 Loss of Function Alters Human Endocrine Cell Development and Influences Diabetes Risk

29. PAX4 loss of function alters human endocrine cell development and influences diabetes risk

32. Evolution of Cytomegalovirus-Responsive T Cell Clonality following Solid Organ Transplantation

33. A community challenge to evaluate RNA-seq, fusion detection, and isoform quantification methods for cancer discovery

34. Severity of Sars-Cov-2 Infection in Patients with Hematologic Malignancies: A COVID-19 and Cancer Consortium (CCC19) Registry Analysis

35. A Systematic Framework to Rapidly Obtain Data on Patients with Cancer and COVID-19: CCC19 Governance, Protocol, and Quality Assurance

38. Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study

40. GenomicsKG: A Knowledge Graph to Visualize Poly-Omics Data

43. Querying web polystores

48. Single cell multiome profiling of pancreatic islets reveals physiological changes in cell type-specific regulation associated with diabetes risk.

49. Predicting Type 2 Diabetes Metabolic Phenotypes Using Continuous Glucose Monitoring and a Machine Learning Framework.

50. Cloud-Based Machine Learning Platform to Predict Clinical Outcomes at Home for Patients With Cardiovascular Conditions Discharged From Hospital: Clinical Trial.

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