جست‌وجوی استاد و پژوهشگر

Gabriella Casalinoمشاهده پروفایل

استادیار

• Computational Intelligence
• eHealth
• Data Stream Mining
• +۵ مورد دیگر

Gabriella Casalino is an Assistant Professor at the University of Bari Aldo Moro, Department of Computer Science, and a key researcher at CILAB - Computational Intelligence Lab. Her work focuses on Computational Intelligence methods for interpretable data analysis, particularly in eHealth, Data Stream Mining, and eXplainable Artificial Intelligence (XAI) within medical and educational domains. She has contributed to innovative approaches in smartphone-based health monitoring, fuzzy logic applications, and remote vital sign detection via photoplethysmography. Education : Ph.D. in Computer Science, with advanced training at institutions like Universitat de Girona and Université de Mons. Research Trends : Recent publications highlight applications of evolving granular computing, neuro-fuzzy systems, and explainable AI in hypertension prediction, bipolar disorder monitoring, and educational data analysis. Key subfields include remote health monitoring, medical data streams, and hybrid AI models. Grants : Research funded by AIRC (Italian Cancer Research Foundation), focusing on computational methods for healthcare challenges. Labs & Collaborations : Active in CILAB, collaborating on projects involving mHealth solutions, cardiovascular risk assessment, and intelligent educational systems.

• Immunology
• Macrophage Biology
• Tumor-associated Macrophages
• +۴ مورد دیگر

Antonio SICA is a Full Professor in the Department of Pharmaceutical Sciences at the University of Eastern Piedmont 'Amedeo Avogadro'. With an extensive research career spanning over three decades, he has published 189 research outputs including articles, reviews, and conference contributions. His ORCID profile (0000-0002-8342-7442) documents his significant contributions to immunology and cancer research. Professor SICA's research primarily focuses on myeloid cells in cancer , particularly tumor-associated macrophages and myeloid-derived suppressor cells . His work explores how these cells contribute to tumor progression, immunosuppression, and response to therapy. Key research areas include immunometabolism, epigenetic regulation of myeloid cells, and the intersection of inflammation with cancer development. Analysis of his recent publications (2021-2024) reveals a strong emphasis on myeloid cell heterogeneity in cancer, immunometabolic pathways , and the role of myeloid cells in age-related diseases . His 2023-2024 work has particularly examined connections between cancer immunology and infectious diseases like COVID-19, demonstrating how immunometabolic interference affects disease outcomes. Advancing the knowledge of human neutrophils displaying polymorphonucler myeloid-derived suppressor cell (PMN-MDSC) functions (2023-2025) BioTher19: Biological bases of immune response in fragile COVID-19 patients Deciphering the molecular and functional heterogeneity of myeloid cells in cancer (2019-2023) Deciphering the epigenetic basis of Myeloid-derived immunosuppression in cancer and therapy (2018-2023) Professor SICA has supervised 5 students throughout his career and maintains active research collaborations across multiple institutions. His work contributes significantly to UN Sustainable Development Goals related to good health and well-being, particularly through advancing cancer immunology and immunotherapy approaches.

• Genomics
• Transcriptomics
• Network Biology
• +۷ مورد دیگر

Pasquale Luca Curci is a Researcher at the Institute of Biosciences and BioResources (IBBR), part of the National Research Council of Italy (CNR) in Bari. His work focuses on integrating large-scale genomic and transcriptomic datasets to uncover biological mechanisms in plants, particularly in crops like durum wheat and artichoke. His research interests span genomics, transcriptomics, and network biology, with a strong emphasis on nitrogen use efficiency, gene regulatory networks, and plant stress responses. He employs systems biology approaches to identify key genes and regulatory elements involved in plant development and adaptation. The analysis of his recent publications reveals a consistent focus on plant genomics, particularly in durum wheat and Cynara species. His work integrates omics data to understand gene function, stress responses, and evolutionary relationships. Key themes include nitrogen metabolism, microRNA regulation, chloroplast genomics, and cross-species network analysis. He has led and coordinated multiple national and international research collaborations with institutions in Belgium, Sweden, Spain, France, and Italy, focusing on gene function discovery, nitrogen efficiency, and germplasm characterization. Integrative network analysis for gene function discovery in wheat (with BASF Agricultural Solutions, Belgium) Cross-species network biology in plants (with SweTree Technologies, Sweden) Transcriptomics and regulatory networks in durum wheat (with Sequentia Biotech SL, Spain) Phenotypization and genomic analysis of durum wheat (with Alma Mater Studiorum, Bologna) Asparagine synthetase genes in durum wheat (with INRA-CNRGV, France) He has contributed to the development of genomic resources for Cynara and has published extensively on chloroplast genomics, transcriptomics under nitrogen stress, and genetic diversity in vegetable crops. His work supports crop improvement and sustainable agriculture through advanced molecular tools.

• Genomics
• Functional Genomics
• Structural Genomics
• +۳ مورد دیگر

Massimo Delledonne is a Full Professor in the Department of Biotechnology at the University of Verona. His research focuses on clinical genomics, functional genomics, structural genomics, and metagenomics. He teaches modules such as Genetics and Human Genomics across undergraduate and graduate programs, including Molecular and Medical Biotechnology and Medical Bioinformatics. Affiliations: Department of Biotechnology, University of Verona Committees: Faculty Board of PhD in Biotechnology, Biotechnology Teaching Committee Spin-offs: EDIVITE s.r.l., Microbion S.r.l., Enerzyme s.r.l. (among others) His research interests include genome assembly, single nucleotide variant analysis, and applications of next-generation sequencing technologies. Projects span plant and human genomics, with a focus on crop improvement, disease diagnostics, and microbial interactions. Recent work includes studies on lupin diversity, common bean evolution, and grapevine genetics. Key projects include IBEARAD (Bioinformatics for Agricultural Resilience) and SYMPHONY (Phaseolus vulgaris genome analysis). He leads interdisciplinary efforts in genomic medicine, plant genomics, and environmental genomics.

Francesco Iorioمشاهده پروفایل

پژوهشگر

• Computational Biology
• Pharmacogenomics
• Cancer Biology
• +۳ مورد دیگر

Francesco Iorio is a Research Group Leader in Computational Biology at Human Technopole (Milan, Italy), leading research in computational cancer pharmacogenomics and therapeutic target discovery. He holds a PhD from the University of Salerno and TIGEM (Naples), focusing on computational methods for drug discovery. Previously, he was a Senior Bioinformatician at EBI, leading CRISPR-Cas9 screen analyses across cancer cell lines to identify synthetic lethalities and therapeutic targets. He led the Cancer Dependency Map Analytics team at Wellcome Sanger Institute, developing algorithms for integrating large-scale cancer datasets. Since 2019, he serves as a Scientific Advisor to the Cancer Research Horizon–AstraZeneca Functional Genomics Centre. His research integrates computational methods with experimental data to uncover cancer dependencies, drug mechanisms, and biomarkers. Key contributions include tools like CRISPRcleanR for bias correction in CRISPR screens, and CELLector for selecting cancer cell line models. His work spans pharmacogenomics, functional genomics, and CRISPR technologies, with a focus on translating findings into clinical applications. Publications highlight advancements in CRISPR screen analysis, cancer dependency mapping, and drug repositioning. Current projects aim to advance precision medicine through computational frameworks for understanding tumor heterogeneity and therapeutic vulnerabilities.

Alfredo Bensoمشاهده پروفایل

استاد

• Bioinformatics
• Systems Biology
• Artificial Intelligence
• +۱۶ مورد دیگر

Alfredo Benso is a Full Professor in the Department of Control and Computer Science (DAUIN) at the Polytechnic University of Turin, where he is also a member of the Interdepartmental Center PolitoBIOMed Lab - Biomedical Engineering Lab. He has been continuously involved in the Doctoral College for Computer and Systems Engineering since 2008, guiding PhD education across numerous cycles. His academic roles span teaching and research leadership in bioinformatics, systems biology, and computer engineering. Research interests: Bioinformatics and computational biology Systems biology and gene regulatory networks Artificial intelligence and machine learning in biomedicine Molecular modeling and multiscale simulation Biological database systems and data integration Health informatics and public health modeling His recent publications reflect a strong trend in applying AI and machine learning to biological and medical challenges, including protein function prediction, Alzheimer’s and Multiple Sclerosis modeling, food fraud detection, and viral genome analysis. These works span journals and conferences in bioinformatics, computational biology, and biomedical engineering, demonstrating interdisciplinary innovation. Scientific Awards: BIOINFORMATICS 2014 BEST PAPER AWARD (INSTICC, United Kingdom) Advising and Grants: He supervises PhD students, including Sofia Ostellino, and leads major research initiatives such as the BIGMECH (2023–2025) and FISHUB (2016–2018) projects. He has served as Scientific Director for collaborative agreements with public administrations and as Principal Investigator on EU, national (PRIN), and regional research grants focused on bioinformatics, space systems, and reliable digital technologies. Labs and Teams: He is a key member of the SBG - System Biology Group (DAUIN) and contributes to PolitoBIOMed Lab, fostering collaborative research in biomedical engineering and computational biology.

• Human Anatomy
• Molecular Chaperones
• Heat Shock Proteins
• +۴ مورد دیگر

Francesco Cappello is a Full Professor in the Department of Biomedicine, Neuroscience and Advanced Diagnostics at the University of Palermo, Italy, where he also serves as Vice-Rector for Student Life. His office is located in the Human Anatomy and Histology Building, where he maintains regular office hours for students. Professor Cappello teaches across multiple departments including Medicine and Surgery, Biomedical Engineering, and Sciences of Motor and Sport Activities. Professor Cappello's research program centers on molecular chaperones, particularly Heat Shock Protein 60 (Hsp60), and their roles in various physiological and pathological conditions. He has developed the concept of the "muco-microbiotic layer" as a novel morphofunctional structure and investigates how probiotics and nanovesicles might target this layer in disease conditions. His work spans multiple systems including the digestive system, skeletal muscle, neuroendocrine system, and respiratory system, exploring Hsp60's potential as both a biomarker and therapeutic target. Analysis of Professor Cappello's recent publications reveals a comprehensive exploration of Hsp60 across multiple disease contexts. His 2025 publications demonstrate particular interest in the relationship between Hsp60 and skeletal muscle diseases, digestive system pathologies, and the neuroendocrine system. He is also pioneering connections between molecular chaperones and artificial intelligence applications in biomedical research, while investigating the therapeutic potential of probiotics like Lactobacillus fermentum LF31 in modulating inflammatory pathways and muscle atrophy. Professor Cappello has maintained consistent teaching responsibilities across multiple academic years, instructing Human Anatomy II in Medicine and Surgery programs, Elements of Anatomy in Biomedical Engineering specializations, and Human Morphology courses in Motor and Sport Sciences. His teaching spans both foundational anatomy and specialized applications across various health science disciplines, reflecting his broad expertise in anatomical sciences.

• Biology
• Cell Biology
• Molecular Biology
• +۷ مورد دیگر

Paolo Macchi is a Full Professor at the University of Trento, holding roles in the Department of Cellular, Computational and Integrative Biology (CIBIO) and the Centre for Medical Sciences (CISMED). He serves as Director of CIBIO and Rector's delegate for Disability Support, and is a member of the University Council. His expertise spans cell biology, molecular biology, neurobiology, and RNA biology, with a focus on RNA localization, translation regulation, and systems biology approaches. He teaches Biologia generale e molecolare , covering cellular structures, molecular mechanisms, and genomic processes. Research highlights include studies on RNA-binding proteins (e.g., RALY, HuD) and their roles in neuronal function, as well as interdisciplinary work on bio-hybrid systems (e.g., TiO2 films, memristive devices) interfacing neurons with materials. His work integrates molecular biology, genomics, and engineering to explore neural mechanisms, cancer biology, and developmental processes. Publications span RNA regulation in telomere dynamics, neuronal excitability, and artificial cell systems. He has developed cell-free systems and functionalized biomaterials for biomedical applications. Collaborative projects include memristive devices for neuromorphic modeling and lipidomics analysis under stress conditions.

• Ribonucleic acid (RNA)
• Data Analysis
• Bioinformatics
• +۱۲ مورد دیگر

Erik Dassi is an Associate Professor at the Department of Cellular, Computational and Integrative Biology (CIBIO) within the University of Trento. His research focuses on RNA biology, particularly investigating RNA structure-functional relationships, translational control mechanisms, and their implications in cancer, neurodegenerative diseases, and genetic disorders. He specializes in exploring how RNA modifications, G-quadruplex structures, and post-transcriptional regulatory networks drive disease processes and therapeutic resistance. Teaching activities include courses on Computational Biology, Cancer Genomics, Genomics Technologies, Programming, and Scientific Programming. His work emphasizes integrative approaches combining experimental and computational methods, such as polysomal profiling, allele-specific proteomics, and single-cell transcriptomics. Key research themes include: RNA G-quadruplex regulation of mitochondrial translation and energy metabolism ( n =3 articles in 2025), YTHDF proteins as tumor drivers in m6A pathways ( n =2 articles in 2024), and circular RNA roles in Huntington’s disease ( n =4 articles across 2021-2024). His work highlights translational reprogramming in cancer therapy resistance and RNA-based biomarker discovery.

Alfredo Pulvirentiمشاهده پروفایل

استاد

• Bioinformatics
• Biomedicine
• RNA Interference
• +۹ مورد دیگر

Alfredo Pulvirenti is a Full Professor of Computer Science at the University of Catania, Italy. He holds a joint appointment with the Department of Clinical and Experimental Medicine and the Department of Mathematics and Computer Science. Born in 1974, he earned his Laurea (1999, summa cum laude), PhD (2003), and post-doc (2004) in Computer Science from the University of Catania. His academic career includes roles as Assistant Professor (2005-2014), Associate Professor (2014-2023), and Full Professor since 2023. His research bridges Bioinformatics and Biomedicine , focusing on RNA interference (microRNAs, long non-coding RNAs) via stochastic and network-based inference methods. Key contributions include subgraph matching , motif finding , and multiple network alignment using Monte Carlo techniques for analyzing biological networks . He also applies time series analysis to seismic and infrasonic signals through collaborations with Italy's National Institute of Geophysics and Volcanology (INGV). Recent publications highlight advancements in graph algorithms (e.g., MultiGraphMatch, ArcMatch) and systems biology tools like MITHrIL and SPECifIC. He co-directs the Jacob T. Schawartz International School for Scientific Research and leads national/regional projects on Bioinformatics and Big Data in Cancer . His group includes 3 researchers, 1 post-doc, and 3 PhD students in Complex Systems. Awards and Leadership : Best Paper Award at CBS 2009 Guest Editor for BMC Bioinformatics, Briefings in Bioinformatics, Elsevier Program Committee Member for major international conferences International Collaborations span institutions like NYU, Ohio State University Wexner Medical Center, Brown University, Tel Aviv University, Toronto University, and Università di Ancona.

• Non-coding RNA (ncRNA)
• Molecular Biology
• Genetics
• +۴ مورد دیگر

Claudio Ventura SANTORO is a Full Professor at the Department of Health Sciences, University of Eastern Piedmont Amedeo Avogadro. His research focuses on non-coding RNAs, gene regulation mechanisms, and translational therapies for genetic disorders. He leads interdisciplinary projects on retinitis pigmentosa, cancer cell stress responses, and neurodegenerative diseases. Affiliations: Università degli Studi del Piemonte Orientale Key Projects: PERTINENT (RP11 therapy), SINEUP therapy development, Ferroptosis in Multiple Sclerosis Research interests include SINEUP RNA molecules, ferroptosis regulation, and LINE-1 elements in cortical development. His work contributes to UN SDGs related to health innovation and sustainable development. Collaborations span molecular biology, genetics, and clinical research domains. Recent projects (2023-2025) address retinitis pigmentosa therapies via AAV vectors, mutant p53 cancer cell biology, and stem cell applications. He has supervised 4 research projects and 94 publications since 1981.

Ivano Legniniمشاهده پروفایل

پژوهشگر

• Gene Regulation
• RNA Metabolism
• Post-transcriptional Regulation
• +۷ مورد دیگر

Ivano Legnini is a Research Group Leader at Human Technopole in Milan, Italy, where he leads the Legnini Group within the Genomics center. He established his independent laboratory at Human Technopole in March 2023 after completing an EMBO fellowship at the Max Delbrück Center – Berlin Institute for Medical Systems Biology. Legnini earned his degree in Genetics and Molecular Biology from Sapienza University of Rome in 2012 and completed his PhD there in 2016, working on non-coding RNA and post-transcriptional regulation in Irene Bozzoni's laboratory. His research focuses on gene regulation, particularly RNA metabolism and processing, using innovative approaches that combine optogenetics with spatial transcriptomics in organoid models. His group has developed technologies such as FLAM-seq for studying poly(A) tail regulation. Current research areas include understanding mRNA isoform selection, spatial regulation of gene expression in neurodevelopment, and viral encephalitis modeling. His recent publications reveal a strong focus on developing and applying cutting-edge genomic technologies to understand RNA regulation in three-dimensional biological systems. His work spans from fundamental RNA biology to disease modeling, with particular emphasis on neurodevelopment and cancer. EMBO fellowship recipient Legnini mentors several students and postdocs in his lab, including PhD students and postdoctoral researchers working on RNA dynamics and spatiotemporal gene regulation. His group actively develops genomic technologies for gene expression perturbation and profiling. The Legnini Group combines molecular and systems biology approaches, using synthetic biology and optogenetics to engineer cells and organoids to reproduce complex regulatory cascades, then applying integrative transcriptomics techniques to understand gene regulation principles.

• Cardiovascular Pathology
• Regenerative Medicine
• Molecular Biology
• +۷ مورد دیگر

Antonio Paolo Beltrami is an Associate Professor of Clinical Pathology at the University of Udine, Department of Medicine. He holds dual roles as a researcher and clinician, combining academic duties with clinical practice at the University Health Authority of Central Friuli. His research focuses on cardiovascular pathology, regenerative medicine, and molecular mechanisms of aging and disease. Education : Medical Doctor (110/110 cum laude, 1999), University of Udine PhD in Clinical Sciences and Technologies (2003), University of Udine and New York Medical College Residency in Hematology (70/70 cum laude, 2006), University of Udine Research Interests : Dr. Beltrami investigates cardiac stem cells, cellular senescence in heart disease, and biomarkers for cardiovascular disorders. He explores longevity-associated genes like BPIFB4, their role in aging, and applications in regenerative medicine. His work integrates molecular biology, histology, and advanced diagnostics. Recent Articles Trends : Recent work highlights amyloid-beta's role in myocardial infarction prognosis, vitamin D's cardiovascular effects, and SARS-CoV-2's impact on cardiac cells. Studies also address extracellular vesicle biomarkers and epigenetic pathways in ischemic injury. Awards & Grants : National Innovation Prize (2004) Co-founder of Tissue and Organ Replacement (TOR) spin-off Principal Investigator of regional grants on heart failure and frailty Recipient of European cross-border grants (PROTEO, EXOTHERA, TRANSGLIOMA) Teaching & Mentorship : Supervised 9 postdocs and 8 PhD students. Teaches Biotechnology, Stem Cells, and Surgical Pathology at the University of Udine and collaborates with international institutions like the University of Bristol and Krems. Labs/Teams : Leads research units in cardiac regenerative biology and collaborates with the Interdepartmental Centre for Regenerative Medicine. Engages in multidisciplinary projects with European partners on nanotechnology, glioma biomarkers, and cardiac diagnostics.

Marta Biagioliمشاهده پروفایل

پژوهشگر

• Neurodegenerative Diseases
• Genetics
• RNA Biology
• +۲ مورد دیگر

Marta Biagioli is a Researcher in Genetics at the Department of Cellular, Computational and Integrative Biology (CIBIO) , University of Trento. Her work focuses on Huntington's disease and neurodevelopmental disorders , combining molecular genetics , RNA biology , and translational research . Her research investigates RNA biogenesis defects in Huntington’s disease, including circular RNAs (circHTT) and SINEUP antisense RNAs . She explores how CAG repeat expansions alter splicing dynamics and neuronal vulnerability , with implications for biomarker development and RNA-based therapies . Key trends in her publications reveal expertise in non-coding RNA , neurogenetic mechanisms , and epigenetic regulation . Her work spans model systems , transcriptomic analysis , and therapeutic design for diseases like Huntington’s and autism. Marta’s laboratory at CIBIO integrates interdisciplinary approaches to decode complex disease phenotypes. She actively engages in science communication , bridging academic research with public understanding through platforms like #UniTrentoStories.

Giulia Fisconمشاهده پروفایل

استادیار

• Bioinformatics
• Computational Biology
• Network Medicine
• +۵ مورد دیگر

Giulia Fiscon is an Assistant Professor in Bioengineering at the Department of Computer, Automation, and Management Engineering (DIAG) of Sapienza University of Rome. She holds a summa cum laude degree in Biomedical Engineering from Campus Bio-Medico University (2012) and a PhD in Computer Science from Sapienza (2016, with top honors). Her research focuses on bioinformatics, computational biology, and network medicine, particularly in drug repurposing, cancer genomics, and systems pharmacology. She has authored 65+ publications with an h-index of 24 (Scopus). Current roles include teaching Bioinformatics courses and leading research on network-based approaches for drug discovery. Her work integrates transcriptomics, interactomics, and computational tools like SWIM and SAveRUNNER to address complex diseases. Recent projects include predicting drug responses in cancers, analyzing drug-toxicity interactions, and developing ontologies for Alzheimer’s data. Her research highlights include: Network medicine applications in oncology and neurodegenerative diseases Development of computational tools for RNA analysis and drug repurposing Investigation of microRNA-mRNA interactions in cancer progression Her articles emphasize drug repositioning strategies, precision medicine, and systems biology frameworks. She has collaborated with institutions like the National Research Council and the Foundation for Personalized Medicine.