Mario Merone

Assistant Professor (RTDA)

Università Campus Bio-Medico

Italy

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About

Mario Merone is an Assistant Professor (RTDA) at Università Campus Bio-Medico in Italy. His research areas encompass artificial intelligence applications in biomedical contexts, including rotator cuff tear detection and noninvasive breast tumor identification. He has also focused on biomedical natural language processing and physiologically based pharmacokinetic modeling. His work explores advancements in healthcare data management and the efficient detection of environmental pollutants.

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2022

Collaborators (15)

Leandro Pecchia

Professor of Biomedical Engineering

Università Campus Bio-Medico di Roma

ITALY

Mario Merone

Research Interests

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About

Articles (28)

A Prediction of Drug Transport, Distribution, and Absorption Through a Multicompartmental Physiologically Based Pharmacokinetic Model

Artificial Intelligence in Rotator Cuff Tear Detection: A Systematic Review of MRI-Based Models

Efficient multi-task learning with instance selection for biomedical NLP

Feature-based knowledge distillation for explainable detection of pulmonary diseases

Fiber Bragg Grating Sensors Combined With Artificial Intelligence for Noninvasive Breast Tumor Identification

A zero-knowledge proof federated learning on DLT for healthcare data

Cross-lingual distillation for domain knowledge transfer with sentence transformers

Efficient Detection of Microplastics on Edge Devices With Tailored Compiler for TinyML Applications

Quantifying Treatments as Usual and with Technologies in Neurorehabilitation of Individuals with Spinal Cord Injury

Biodistribution Assessment of a Novel <sup>68</sup>Ga-Labeled Radiopharmaceutical in a Cancer Overexpressing CCK2R Mouse Model: Conventional and Radiomics Methods for Analysis

A Benchmarking on Optofluidic Microplastic Pattern Recognition: A Systematic Comparison between Statistical Detection Models and ML-Based Algorithms

A Real-World Assessment of Stage I Lung Cancer Through Electronic Nose Technology

Combining Fiber Bragg Grating and Artificial Intelligence Technologies for Supporting Epidural Procedures

Hazelnut mapping detection system using optical and radar remote sensing: Benchmarking machine learning algorithms

Hazelnut mapping detection system using optical and radar remote sensing: Benchmarking machine learning algorithms

Investigating Stock Prediction Using LSTM Networks and Sentiment Analysis of Tweets Under High Uncertainty: A Case Study of North American and European Banks

From pre-training to fine-tuning: An in-depth analysis of Large Language Models in the biomedical domain

A text style transfer system for reducing the physician–patient expertise gap: An analysis with automatic and human evaluations

Modeling and Validation of an Ultra-Compact Regenerative Liver Dialysis Device

A New Glycemic closed-loop control based on Dyna-Q for Type-1-Diabetes

Layered Meta-Learning Algorithm for Predicting Adverse Events in Type 1 Diabetes

dRAIN: A distributed Reliable Architecture for IoT Networks

Fully automated evaluation of paraspinal muscle morphology and composition in patients with low back pain

Machine learning for exploring neurophysiological functionality in multiple sclerosis based on trigeminal and hand blink reflexes.

A new hybrid AI optimal management method for renewable energy communities

IoT architecture for continuous long term monitoring: Parkinson’s Disease case study

A Practical Approach to the Analysis and Optimization of Neural Networks on Embedded Systems

Artificial Intelligence and Computer Aided Diagnosis in Chronic Low Back Pain: A Systematic Review

Collaborators (15)

Leandro Pecchia

Rosalba Parenti

Letizia Mancini

vincenzo piemonte

Matteo Lorusso

Daniela Lo Presti

Paolo Giaccone

Gianluca Natrella

Paolo Pozzilli

Huiyuan Lai

Federica Tamburella

giovanni marzaro

Gianluca Vadalà

Antonino Tuttolomondo

MARCO TRAMONTANO

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