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2. Contributors

15. 145 Machine learning for prediction of incident heart failure and heart failure hospitalisation: developlment, validation and assocation with clinical phenotypes

16. 204 Machine learning for incident cardio-renal-metabolic disease and cardiovascular death: the optimise study

22. Machine learning to identify community-dwelling individuals at higher risk of incident cardio-renal-metabolic diseases and death

35. Ordered magnetic fields around the 3C 84 central black hole

36. European Society of Cardiology Quality indicators for the care and outcomes of adults undergoing transcatheter aortic valve implantation

37. Early management of adult traumatic spinal cord injury in patients with polytrauma: a consensus and clinical recommendations jointly developed by the World Society of Emergency Surgery (WSES) & the European Association of Neurosurgical Societies (EANS)

43. Accreting Black Hole Binaries

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