A5009820322- Gene Regulatory Network Analysis
- Gaussian Processes and Bayesian Inference
- Cognitive and developmental aspects of mathematical skills
- Bayesian Methods and Mixture Models
- Lung Cancer Diagnosis and Treatment
- Lymphatic Disorders and Treatments
- Advanced Multi-Objective Optimization Algorithms
- Optimal Experimental Design Methods
- Intelligent Tutoring Systems and Adaptive Learning
- VLSI and Analog Circuit Testing
- Mathematics Education and Teaching Techniques
- Industrial Vision Systems and Defect Detection
- Gene expression and cancer classification
- Integrated Circuits and Semiconductor Failure Analysis
- Vascular Malformations and Hemangiomas
- Protein Structure and Dynamics
- Probabilistic and Robust Engineering Design
- Cell Image Analysis Techniques
- Fullerene Chemistry and Applications
- Ultrasound in Clinical Applications
- Immune Cell Function and Interaction
- Infectious Diseases and Mycology
- Machine Learning and Algorithms
- Multimodal Machine Learning Applications
- Radiation Dose and Imaging
University of Padua
2007-2025
University of California, Santa Barbara
2014-2017
ETH Zurich
2009-2015
Center for Pediatric Endocrinology Zurich
2013
Data61
2013
SIB Swiss Institute of Bioinformatics
2013
University of Trento
2008
Approximate Bayesian computation (ABC) constitutes a class of computational methods rooted in statistics. In all model-based statistical inference, the likelihood function is central importance, since it expresses probability observed data under particular model, and thus quantifies support lend to values parameters choices among different models. For simple models, an analytical formula for can typically be derived. However, more complex might elusive or computationally very costly...
A variant of type I interferon stimulates expression only those genes required for an antiviral response.
Chylothorax is a rare but insidious condition, characterized by the accumulation of chyle in pleural space, which particularly common after cardiothoracic surgeries. It presents significant challenges both diagnosis and treatment. In this technical report, we present our experience managing four cases postsurgical chylothorax, each one treated with different approach. The first second were successfully managed Lipiodol lymphangiography, allowed for visualization occlusion injured lymphatic...
Topological filtering identifies biological networks compatible with known data and enables quantitative analysis of regulatory mechanisms.
Biological systems are understood through iterations of modeling and experimentation. Not all experiments, however, equally valuable for predictive modeling. This study introduces an efficient method experimental design aimed at selecting dynamical models from data. Motivated by biological applications, the enables crucial experiments: it determines a highly informative selection measurement readouts time points.
The estimation of kinetic rate constants plays a key role for the development dynamical models in systems biology. Bayesian inference addresses issues noise modelling and quantification parameter uncertainty. However, current approximate techniques suffer from well-known degeneracy instability problems. We propose novel technique to estimate parameters biological convergent stable way. Our approximation is based on sequential Monte Carlo resampling belief states according clusters particles....
This paper addresses the problem of active model selection for nonlinear dynamical systems. We propose a novel learning approach that selects most informative subset time-dependent variables purpose Bayesian inference. The criterion maximizes expected Kullback-Leibler divergence between prior and posterior probabilities over models. proposed strategy generalizes standard D-optimal design, which is obtained from uniform with Gaussian noise. In addition, our allows us to determine an...
In this paper, we explore the possibility of a general framework for modelling engagement dynamics in software tutoring, focusing on cases developmental dyslexia and dyscalculia. This project aims at capturing similar state patterns two learning disabilities. We start by presenting model spelling learning, which relates input behaviour to explains states. Predictive power extracted features is increased incorporating domain knowledge pre-processing. The introduced enables prediction focused...
Background and objectives: VATS segmentectomy has been proven to be effective in the treatment of stage I NSCLC, but its technical complexity remains one most challenging aspects for thoracic surgeons. Furthermore, 3D-CT reconstruction images can help planning performing surgical procedures. In this paper, we present our personal experience 11 anatomical resections performed after accurate pre-operative with 3D reconstructions. Materials methods: A virtual model lungs, airways, vasculature...
This study is primarily motivated by biological applications and focuses on the identification of Boolean networks from scarce noisy data. We consider two Bayesian experimental design scenarios: selection observations under a budget, input design. The goal to maximize mutual information between models data, that ultimate statistical upper bound identifiability system empirical First, we introduce method select which components state variable measure budget constraint, at time points. Our...
Test escapes are chips that pass the chip-level test program but fail system-level or in field. It is known statistical analysis based on chip production data could identify abnormalities for screening escapes. has also been shown from data, we can generate revealing features by comparing measurement to different references such as mean of a wafer, spatial pattern and measurements neighboring chips. Given these existing base features, this paper proposes new class transformations which...
In this paper, multi‐input multi‐output Boolean control networks are considered as polynomial discrete‐time systems in the Galois field . Two algorithms proposed to design observers, able recognise state and input of system finite time, without any requirement on structure network. It is shown that such procedures can be used, a wholly probabilistic framework, estimate input, even when random noise superimposed available measures. The interest these methods relies biological applications,...
Background/Objectives: Chest X-ray (CXR) is currently the most used investigation for clinical follow-up after major noncardiac thoracic surgery. This study explores use of lung ultrasound (LUS) as an alternative to CXR in postoperative management patients who undergo procedures. Methods: The our cohort were monitored with both a and ultrasonography surgery day chest drain removal. LUS was performed by member medical staff unit blinded images radiologist's report CXR. Findings compared...
Fibrolamellar hepatocellular carcinoma (FL-HCC) is a malignant primary hepatic cancer that affects mainly adolescents and young adults without underlying liver disease. Its biology remains unknown, but it pathologically distinct from traditional HCC. Therapeutic strategies are not well defined and, as chemotherapies seem to have limited efficacy, surgical resection the only effective treatment. Here we report on case of metastatic FL-HCC in an 18-year-old man successfully treated with...
Chylothorax is a rare complication occurring after cardio-thoracic surgical procedures. This condition presents challenges about diagnosis and treatment. Operative ductal ligation the method of choice for relapsing or refractory cases, it can be performed through aid IGC injection identification chylous leakage. Our report use ICG fluorescence during VATS to successfully identify treat left-sided post-surgical chylothorax. The patient underwent pulmonary wedge resection suspect malignant...
Abstract OBJECTIVES This study aimed to evaluate the predictive and prognostic factors in clinical stage I, anaplastic lymphoma kinase (ALK)-rearranged lung adenocarcinoma following radical surgery. Additionally, it sought compare these with an external cohort of ALK wild-type patients. METHODS A multicentric, retrospective, case–control analysis was conducted on patients T1-2 N0 ALK-rearranged who underwent anatomical resection lymphadenectomy. Data were collected from 5 high-volume...
Chylothorax is a rare complication occurring after cardio-thoracic surgical procedures. This condition presents challenges for diagnosis and treatment. Operative ductal ligation the method of choice relapsing or refractory cases, it can be performed through aid IGC injection identification chylous leakage. Our report use ICG fluorescence during VATS to successfully identify treat left-sided post-surgical chylothorax. The patient underwent pulmonary wedge resection suspect malignant lesion...