基本信息
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Bio
Research activity is focused on the development of Machine learning and AI-aided imaging and spectroscopic techniques for the study of metabolism and metabolic networks, with application on diagnostic and decision support system for diabetes Care. Machine Learning assisted methods to investigate glucose metabolism, lipid metabolism, redox homeostasis and autophagic processes with submicrometric resolution were developed to improve the treatment of metabolical disorders by optimizing the pre-clinical and clinical tests of new medication.
Research Interests
Papers共 151 篇Author StatisticsCo-AuthorSimilar Experts
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Current Research in Pharmacology and Drug Discovery (2024): 100186-100186
Alessio Abeltino,Alessia Riente,Giada Bianchetti,Cassandra Serantoni,Marco De Spirito, Stefano Capezzone, Rosita Esposito,Giuseppe Maulucci
Nutrition reviews (2024)
Alessia Riente,Alessio Abeltino,Giada Bianchetti,Cassandra Serantoni, Marco DeSpirito,Dario Pitocco, Stefano Capezzone, Rosita Esposito,Giuseppe Maulucci
Nutrition (2024): 112481-112481
F. Mancini,F. Di Nicuolo,E. Teveroni,E. Vergani,G. Bianchetti, C. Bruno,G. Grande, F. Iavarone,G. Maulucci,M. De Spirito, A. Urbani,A. Pontecorvi,
Journal of Endocrinological Investigationno. 2 (2024): 455-468
Alessia Riente,Alessio Abeltino,Cassandra Serantoni,Giada Bianchetti,Marco De Spirito, Stefano Capezzone, Rosita Esposito,Giuseppe Maulucci
BIOSENSORS-BASELno. 7 (2023)
Endocrine Abstracts (2023)
Nutrientsno. 18 (2023): 3931-3931
CELLULAR AND MOLECULAR LIFE SCIENCESno. 4 (2023): 1-15
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