Suppression of ADP-ribosylation reversal triggers cell vulnerability to alkylating agents
This study investigates how the suppression of ADP-ribosyl inversion enhances the vulnerability of cancer cells.
Visit our Scientific Research Area: a section dedicated to professionals in the field, where you can find official resources—official documents, publications, and advanced research—on the scientific research topics of the synbrAIn team.
Integral Bone Age Regression
The paper takes a practical approach to estimating the bone age of children and young adults based on hand radiography, by constructing an end-to-end pipeline that involves bone segmentation, deep regression algorithms and model explainability.
Automatic diagnosis of liver masses in Computed Tomography scans
This paper presents a complete pipeline for automatic diagnosis of various liver masses, consisting of components based on deep learning models for both the automatic segmentation of liver and its lesions, as well as the classification of masses into 5 classes, namely simple cysts, hemangiomas, hepatocellular carcinoma, calcifications and metastases.
Deep learning approaches for the detection of scar presence from cine cardiac magnetic resonance adding derived parametric images
This work proposes a convolutional neural network (CNN) that utilizes different combinations of parametric images computed from cine cardiac magnetic resonance (CMR) images, to classify each slice for possible myocardial scar tissue presence.
Pain Assessment in Neonatal Clinical Practice via Facial Expression Analysis and Deep Learning
A deep learning framework for newborn pain assessment based on facial expression analysis, of the Neonatology Department.
Diagnostic performance of an AI algorithm for the detection of appendicular bone fractures in pediatric patients
To evaluate the diagnostic performance of an Artificial Intelligence (AI) algorithm, previously trained using both adult and pediatric patients, for the detection of acute appendicular fractures in the pediatric population on conventional X-ray radiography (CXR).
Designing Touchless Gestural Interactions for Public Displays In-the-Wild
Public displays, typically equipped with touchscreens, are used for interactions in public spaces, such as streets or fairs. Currently low-cost visual sensing technologies, such as Kinect-like devices and high quality cameras, allow to easily implement touchless interfaces.
Comparison of entropy rate measures for the evaluation of time series complexity: Simulations and application to heart rate and respiratory variability
Most real-world systems are characterised by dynamics and correlations emerging at multiple time scales, and are therefore referred to as complex systems. In this work, the complexity of time series produced by complex systems was investigated in the frame of information theory computing the entropy rate via the conditional entropy (CE) measure.
AI Lifecycle Zero-Touch Orchestration within the Edge-to-Cloud Continuum for Industry 5.0
The progress made in human-centered AI systems for Industry 5.0 marks a new phase in industrialization.
Artificial Intelligence Applied to Chest X-ray: A Reliable Tool to Assess the Differential Diagnosis of Lung Pneumonia in the Emergency Department
Considering the large number of patients with pulmonary symptoms admitted to the emergency department daily, it is essential to diagnose them correctly.
