A cloud approach for melanoma detection based on deep learning networks
In the era of digitized images, the goal is to extract information from them and create new
knowledge thanks to Computer Vision techniques, Machine Learning and Deep Learning …
knowledge thanks to Computer Vision techniques, Machine Learning and Deep Learning …
Evaluation of in situ injectable hydrogels as controlled release device for ANXA1 derived peptide in wound healing
P Del Gaudio, F De Cicco, RP Aquino, P Picerno… - Carbohydrate …, 2015 - Elsevier
In this paper, for the first time, hydrogels containing Annexin A1 N-terminal derived peptide,
Ac2-26, as a novel dressing were successfully developed for dermal wound repair …
Ac2-26, as a novel dressing were successfully developed for dermal wound repair …
Hybrid approach for the design of cnns using genetic algorithms for melanoma classification
Melanoma is one of the most dangerous and deadly cancers in the world. In this
contribution, we proposed a convolutional neural network architecture implemented in its …
contribution, we proposed a convolutional neural network architecture implemented in its …
Challenges and Opportunities of Symbiotic AI in Rare Disease Diagnosis
Diagnosing rare diseases is difficult due to the complexity of the conditions, limited data, and
a lack of specialized expertise. With over 10,000 rare diseases affecting more than 350 …
a lack of specialized expertise. With over 10,000 rare diseases affecting more than 350 …
[HTML][HTML] G protein-membrane interactions II: effect of G protein-linked lipids on membrane structure and G protein-membrane interactions
J Casas, M Ibarguren, R Álvarez, S Terés… - … et Biophysica Acta (BBA …, 2017 - Elsevier
G proteins often bear myristoyl, palmitoyl and isoprenyl moieties, which favor their
association with the membrane and their accumulation in G Protein Coupled Receptor-rich …
association with the membrane and their accumulation in G Protein Coupled Receptor-rich …
Yada: a novel tool for molecular docking calculations
Molecular docking is a computational method employed to estimate the binding between a
small ligand (the drug candidate) and a protein receptor that has become a standard part of …
small ligand (the drug candidate) and a protein receptor that has become a standard part of …
Snarer: new molecular descriptors for snare proteins classification
Background SNARE proteins play an important role in different biological functions. This
study aims to investigate the contribution of a new class of molecular descriptors (called …
study aims to investigate the contribution of a new class of molecular descriptors (called …
Mapreduce in computational biology-a synopsis
In the past 20 years, the Life Sciences have witnessed a paradigm shift in the way research
is performed. Indeed, the computational part of biological and clinical studies has become …
is performed. Indeed, the computational part of biological and clinical studies has become …
Novel algorithm for efficient distribution of molecular docking calculations
Molecular docking is a computational method to study the formation of intermolecular
complexes between two molecules. In drug discovery, it is employed to estimate the binding …
complexes between two molecules. In drug discovery, it is employed to estimate the binding …
Improving PVC Detection in ECG Signals: A Recurrent Neural Network Approach
Premature ventricular contractions (PVCs) are abnormal ventricle heartbeats that disrupt the
normal QRS rhythm. Classification of PVCs is crucial for the diagnosis and management of …
normal QRS rhythm. Classification of PVCs is crucial for the diagnosis and management of …