A tailored machine learning approach for mortality prediction in severe COVID-19 treated with glucocorticoids.

The impact of severe COVID-19 pneumonia on healthcare systems highlighted the need for accurate predictions to improve patient outcomes. Despite the established efficacy of glucocorticoids (GCs), variable patient responses are observed, and the existing clinical scores are limited in predicting non-responders. We propose a machine learning (ML) based approach to predict mortality in COVID-19 pneumonia treated with GCs.

[What happens if algorithmic music meets medicine].

Since ancient times there has been recognition of music's therapeutic powers, inherent in the properties of sound and its effects on human beings at a psychophysical level. Literature showed the development of therapeutic applications of music in numerous clinical settings. Music-listening itself can qualify as an effective therapeutic means within clinical contexts.

Generative adversarial networks for generating synthetic features for Wi-Fi signal quality.

Wireless networks are among the fundamental technologies used to connect people. Considering the constant advancements in the field, telecommunication operators must guarantee a high-quality service to keep their customer portfolio. To ensure this high-quality service, it is common to establish partnerships with specialized technology companies that deliver software services in order to monitor the networks and identify faults and respective solutions.

HyperBeta: characterizing the structural dynamics of proteins and self-assembling peptides.

Self-assembling processes are ubiquitous phenomena that drive the organization and the hierarchical formation of complex molecular systems. The investigation of assembling dynamics, emerging from the interactions among biomolecules like amino-acids and polypeptides, is fundamental to determine how a mixture of simple objects can yield a complex structure at the nano-scale level. In this paper we present HyperBeta, a novel open-source software that exploits an innovative algorithm based on hyper-graphs to efficiently identify and graphically represent the dynamics of [Formula: see text]-sheets formation.

Communication improvement reduces BPSD: a music therapy study based on artificial neural networks.

Background: Literature showed the effects of music therapy on behavioral disturbances, cognitive functions, and on quality of life in people with dementia. Especially, relational active music therapy approach is oriented to reduce behavioral disturbances increasing communication, especially non-verbal communication.

Objective: This study aimed at exploring the connection between the baseline characteristics of responders and the positive outcome of the intervention, but also the close relationship between the behavioral disturbances and the core of the therapeutic intervention (the relationship/communication improvement).

Surfing on Fitness Landscapes: A Boost on Optimization by Fourier Surrogate Modeling.

Surfing in rough waters is not always as fun as wave riding the "big one". Similarly, in optimization problems, fitness landscapes with a huge number of local optima make the search for the global optimum a hard and generally annoying game. Computational Intelligence optimization metaheuristics use a set of individuals that "surf" across the fitness landscape, sharing and exploiting pieces of information about local fitness values in a joint effort to find out the global optimum.

[The effects of a clinical therapeutic intervention in pain assessment and management in surgical ICU patients: a before-and-after intervention study on pain intensity and use of analgesia].

Aims: the aims of this study were to test the efficacy of a training program in order to reduce pain intensity in surgical ICU patients and improving postoperative pain assessment and management.

Methods: longitudinal, before and after experimental study. A total of 261 patients, 126 in Group A (before intervention) and 135 in Group B (after intervention) were included.

Retromer stabilization results in neuroprotection in a model of Amyotrophic Lateral Sclerosis.

Amyotrophic Lateral Sclerosis (ALS) is a fatal disease characterized by the degeneration of upper and lower motor neurons (MNs). We find a significant reduction of the retromer complex subunit VPS35 in iPSCs-derived MNs from ALS patients, in MNs from ALS post mortem explants and in MNs from SOD1G93A mice. Being the retromer involved in trafficking of hydrolases, a pathological hallmark in ALS, we design, synthesize and characterize an array of retromer stabilizers based on bis-guanylhydrazones connected by a 1,3-phenyl ring linker.

Getting to the roots of aeroponic indoor farming.

Vertical farming is a type of indoor agriculture where plants are cultivated in stacked systems. It forms a rapidly growing sector with new emerging technologies. Indoor farms often use soil-free techniques such as hydroponics and aeroponics.

Machine learning techniques to predict the effectiveness of music therapy: A randomized controlled trial.

Background: The literature shows the effectiveness of music listening, but which factors and what types of music produce therapeutic effects, as well as how music therapists can select music, remain unclear. Here, we present a study to establish the main predictive factors of music listening's relaxation effects using machine learning methods.

Methods: Three hundred and twenty healthy participants were evenly distributed by age, education level, presence of musical training, and sex.

Interfering with HuR-RNA Interaction: Design, Synthesis and Biological Characterization of Tanshinone Mimics as Novel, Effective HuR Inhibitors.

The human antigen R (HuR) is an RNA-binding protein known to modulate the expression of target mRNA coding for proteins involved in inflammation, tumorigenesis, and stress responses and is a valuable drug target. We previously found that dihydrotanshinone-I (DHTS, 1) prevents the association of HuR with its RNA substrate, thus imparing its function. Herein, inspired by DHTS structure, we designed and synthesized an array of ortho-quinones (tanshinone mimics) using a function-oriented synthetic approach.

Regulation of HuR structure and function by dihydrotanshinone-I.

The Human antigen R protein (HuR) is an RNA-binding protein that recognizes U/AU-rich elements in diverse RNAs through two RNA-recognition motifs, RRM1 and RRM2, and post-transcriptionally regulates the fate of target RNAs. The natural product dihydrotanshinone-I (DHTS) prevents the association of HuR and target RNAs in vitro and in cultured cells by interfering with the binding of HuR to RNA. Here, we report the structural determinants of the interaction between DHTS and HuR and the impact of DHTS on HuR binding to target mRNAs transcriptome-wide.

Reshaping the brain after stroke: The effect of prismatic adaptation in patients with right brain damage.

Prismatic adaptation has been repeatedly reported to alleviate neglect symptoms; in normal subjects, it was shown to enhance the representation of the left visual space within the left inferior parietal cortex. Our study aimed to determine in humans whether similar compensatory mechanisms underlie the beneficial effect of prismatic adaptation in neglect. Fifteen patients with right hemispheric lesions and 11 age-matched controls underwent a prismatic adaptation session which was preceded and followed by fMRI using a visual detection task.

4-Connected azabicyclo[5.3.0]decane Smac mimetics-Zn chelators as dual action antitumoral agents.

Putative dual action compounds (DACs 3a-d) based on azabicyclo[5.3.0]decane (ABD) Smac mimetic scaffolds linked to Zn-chelating 2,2'-dipicolylamine (DPA) through their 4 position are reported and characterized.

Integrin-Targeted Peptide- and Peptidomimetic-Drug Conjugates for the Treatment of Tumors.

Background: Integrins are heterodimeric cell surface receptors that mediate cell-cell and cell-extracellular matrix adhesion. These molecules play a role in processes such as cell growth and proliferation, differentiation, migration, cell trafficking, besides contributing to angiogenesis and tumor development. Given their biological role, integrins have been proposed as amenable targets in medicinal chemistry.

Assessment of the Incremental Diagnostic Value of Florbetapir F 18 Imaging in Patients With Cognitive Impairment: The Incremental Diagnostic Value of Amyloid PET With [18F]-Florbetapir (INDIA-FBP) Study.

Importance: Cerebral amyloidosis is a key abnormality in Alzheimer disease (AD) and can be detected in vivo with positron emission tomography (PET) ligands. Although amyloid PET has clearly demonstrated analytical validity, its clinical utility is debated.

Objective: To evaluate the incremental diagnostic value of amyloid PET with florbetapir F 18 in addition to the routine clinical diagnostic assessment of patients evaluated for cognitive impairment.

An Artificial Intelligence System to Predict Quality of Service in Banking Organizations.

Quality of service, that is, the waiting time that customers must endure in order to receive a service, is a critical performance aspect in private and public service organizations. Providing good service quality is particularly important in highly competitive sectors where similar services exist. In this paper, focusing on banking sector, we propose an artificial intelligence system for building a model for the prediction of service quality.

New potent αvβ3 integrin ligands based on azabicycloalkane (γ,α)-dipeptide mimics.

We have designed a new synthetic strategy for the preparation of a new class of cyclic RGD integrin ligands in which the azabicycloalkane scaffold can be envisaged as a (γ,α) dipeptide mimic. The synthesis and in vitro biological evaluation of these RGD derivatives, as well as the computational study of their conformational properties and binding modes to αVβ3 integrin are described. Compound has shown to be a promising candidate as αVβ3 integrin antagonist able to interfere with both cell adhesion and movement on vitronectin with no evidence of cytotoxic effects.

Design, synthesis and biological evaluation of novel dimeric and tetrameric cRGD-paclitaxel conjugates for integrin-assisted drug delivery.

Integrins are associated with tumour cell survival and progression, and their expression has been shown to be increased in tumours. Thus, four novel conjugates of the tripeptide integrin ligand Arg-Gly-Asp (RGD) and the cytotoxic agent paclitaxel (cRGD-PTX) were prepared to investigate the potential of the multivalent presentation of the RGD moiety in improving the antitumor efficacy of PTX by tumour targeting. PTX was conjugated to two or four integrin recognizing ligands.

Computational design of novel peptidomimetic inhibitors of cadherin homophilic interactions.

We report a first set of peptidomimetic ligands mimicking the adhesive interface identified by recent crystallographic structures of E- and N-cadherin. Compounds 2 and 3 inhibit adhesion of epithelial ovarian cancer (EOC) cells with improved efficacy compared to the ADH-1 peptide, a N-cadherin antagonist that is in early clinical trials in EOC patients.

Enhancement of the uptake and cytotoxic activity of doxorubicin in cancer cells by novel cRGD-semipeptide-anchoring liposomes.

Novel liposemipeptides hanging cyclic azabicycloalkane-RGD or aminoproline-RGD terminals were synthesized and incorporated into liposomal nanoparticles cAba/cAmpRGD-LNP5 3C/3D. Liposomes with similar composition and lacking semipeptide conjugates were constructed for comparison (LNP, 3A), and physical encapsulation of the anticancer doxorubicin drug in both targeted and untargeted liposomes was accomplished. Microstructural analysis performed by dynamic light scattering (DLS), small-angle neutron scattering (SANS), and electron paramagnetic resonance (EPR) revealed that the conjugated nanoparticles presented an average size of 80 nm and were constituted by 5 nm thick unilamellar liposome bilayer.

Synthesis and biological evaluation of dual action cyclo-RGD/SMAC mimetic conjugates targeting α(v)β(3)/α(v)β(5) integrins and IAP proteins.

The rational design, synthesis and in vitro biological evaluation of dual action conjugates 11-13, containing a tumour targeting, integrin αvβ3/αvβ5 ligand portion and a pro-apoptotic SMAC mimetic portion (cyclo-RGD/SMAC mimetic conjugates) are reported. The binding strength of the two separate units is generally maintained by these dual action conjugates. In particular, the connection between the separate units (anchor points on each unit; nature, length and stability of the linker) influences the activity of each portion against its molecular targets (integrins αvβ3/αvβ5 for cyclo-RGD, IAP proteins for SMAC mimetics).