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337 results on '"De Carvalho, Mamede"'

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2. iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge

5. Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023

6. iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge

13. Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review

16. Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022

17. Whole genome sequencing analysis reveals post-zygotic mutation variability in monozygotic twins discordant for amyotrophic lateral sclerosis

25. Structural variation analysis of 6,500 whole genome sequences in amyotrophic lateral sclerosis

27. An extensible and unifying approach to retrospective clinical data modeling: the BrainTeaser Ontology.

28. Temporal stratification of amyotrophic lateral sclerosis patients using disease progression patterns.

29. Mutations in the tail and rod domains of the neurofilament heavy‐chain gene increase the risk of ALS.

30. Creatine Kinase and Respiratory Decline in Amyotrophic Lateral Sclerosis.

32. Common and rare variant association analyses in amyotrophic lateral sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology

34. European Academy of Neurology (EAN) guideline on the management of amyotrophic lateral sclerosis in collaboration with European Reference Network for Neuromuscular Diseases (ERNEURO‐NMD)

36. The Incidence of Guillain-Barré Syndrome during COVID-19 Pandemic: A Portuguese Multicentric Retrospective Study

40. Profiling tofersen as a treatment of superoxide dismutase 1 amyotrophic lateral sclerosis.

41. Erythrocytes' surface properties and stiffness predict survival and functional decline in ALS patients.

48. Segmental motor neuron dysfunction in amyotrophic lateral sclerosis: Insights from H reflex paradigms.

49. Impact of diabetes mellitus on the respiratory function of amyotrophic lateral sclerosis patients.

50. Current challenges in primary lateral sclerosis diagnosis.

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