0000000001147590

AUTHOR

Luca Neri

showing 4 related works from this author

Enhanced prediction of hemoglobin concentration in a very large cohort of hemodialysis patients by means of deep recurrent neural networks.

2019

Erythropoiesis Stimulating Agents (ESAs) have become a standard anemia management tool for End Stage Renal Disease (ESRD) patients. However, dose optimization constitutes an extremely challenging task due to huge inter and intra-patient variability in the responses to ESA administration. Current data-based approaches to anemia control focus on learning accurate hemoglobin prediction models, which can be later utilized for testing competing treatment choices and choosing the optimal one. These methods, despite being proven effective in practice, present several shortcomings which this paper intends to tackle. Namely, they are limited to a small cohort of patients and, even then, they fail to…

medicine.medical_specialtyComputer scienceAnemiamedicine.medical_treatmentMedicine (miscellaneous)End stage renal diseaseTask (project management)03 medical and health sciencesHemoglobins0302 clinical medicineArtificial IntelligenceRenal DialysismedicineHumansProspective StudiesIntensive care medicine030304 developmental biology0303 health sciencesbusiness.industryDeep learningmedicine.diseaseRecurrent neural networkCohortHematinicsKidney Failure ChronicArtificial intelligenceHemodialysisNeural Networks Computerbusiness030217 neurology & neurosurgeryPredictive modellingArtificial intelligence in medicine
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Constipation severity is associated with productivity losses and healthcare utilization in patients with chronic constipation

2014

OBJECTIVE: We sought to evaluate the association between constipation severity, productivity losses and healthcare utilization in a national sample of Italian patients with chronic non-organic constipation (CC). METHODS: We enrolled 878 outpatients with CC. Clinical and demographic data were collected by physicians during clinical examinations. Patients completed a self-administered questionnaire (Patient Assessment of Constipation-Symptoms, PAC-SYM; Work Productivity and Activity Impairment; healthcare utilization, and Symptoms Checklist 90 Revised - Somatization Scale, SCL-90 R). RESULTS: Mean PAC-SYM score was 1.62 ± 0.69. Mean weekly sick time due to constipation was 2.7 ± 8.6 h and pro…

medicine.medical_specialtyConstipationChronic constipation; Cost-of-illness study; Direct cost; Functional constipation; Healthcare utilization; Indirect cost; Irritable bowel syndrome; Productivity loss; Oncology; Gastroenterologymacromolecular substancesIndirect costsdirect costMedicineIn patientIntensive care medicineProductivitycost-of-illness studyIrritable bowel syndromeirritable bowel syndromeChronic constipation; cost-of-illness study; direct cost; functional constipation; healthcare utilization; indirect cost; irritable bowel syndrome; productivity lossChronic constipationChronic constipationbusiness.industryGastroenterologyhealthcare utilizationfunctional constipationOriginal Articlesmedicine.diseaseproductivity lossOncologyHealthcare utilizationindirect costPhysical therapyFunctional constipationmedicine.symptombusinessUnited European Gastroenterology Journal
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How to assess the risks associated with the usage of a medical device based on predictive modeling: the case of an anemia control model certified as …

2021

Background The successful application of Machine Learning (ML) to many clinical problems can lead to its implementation as medical devices (MD), being important to assess the associated risks. Methods An anemia control model (ACM), certified as MD may face adverse events as the result of wrong predictions that are translated into suggestions of doses of erythropoietic stimulating agents to dialysis patients. Risks are assessed as the combination of severity and probability of a given hazard. While severities are typically assessed by clinicians, probabilities are tightly related to the performance of the predictive model. Results A post-marketing dataset formed by all adult patients registe…

Adultmedicine.medical_specialtyAnemiabusiness.industryControl (management)Biomedical EngineeringAnemiaGeneral MedicineCertificationmedicine.diseaseHazardCohort StudiesMachine LearningRenal DialysisTest setCohortmedicineHematinicsHumansSurgeryIntensive care medicineAdverse effectRisk assessmentbusinessExpert review of medical devices
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Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1

2021

Contains fulltext : 232759.pdf (Publisher’s version ) (Closed access) In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to…

0301 basic medicineProgrammed cell deathSettore BIO/06AutophagosomeAutolysosome[SDV]Life Sciences [q-bio]lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4]Autophagy-Related ProteinsReviewComputational biology[SDV.BC]Life Sciences [q-bio]/Cellular BiologyBiologySettore MED/0403 medical and health sciencesstressChaperone-mediated autophagyddc:570AutophagyLC3AnimalsHumanscancerSettore BIO/10Autophagosome; cancer; flux; LC3; lysosome; macroautophagy; neurodegeneration; phagophore; stress; vacuoleSet (psychology)Molecular Biologyvacuole.phagophore030102 biochemistry & molecular biologyvacuolebusiness.industryInterpretation (philosophy)AutophagyAutophagosomesneurodegenerationCell BiologyfluxMulticellular organismmacroautophagy030104 developmental biologyKnowledge baselysosomeAutophagosome; LC3; cancer; flux; lysosome; macroautophagy; neurodegeneration; phagophore; stress; vacuoleBiological AssayLysosomesbusinessBiomarkers[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
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