Model-Informed Reinforcement Learning for Enabling Precision Dosing Via Adaptive Dosing.

Precision dosing, the tailoring of drug doses to optimize therapeutic benefits and minimize risks in each patient, is essential for drugs with a narrow therapeutic window and severe adverse effects. Adaptive dosing strategies extend the precision dosing concept to time-varying treatments which require sequential dose adjustments based on evolving patient conditions. Reinforcement learning (RL) naturally fits this paradigm: it perfectly mimics the sequential decision-making process where clinicians adapt dose administration based on patient response and evolution monitoring.

Predicting ADMET Properties from Molecule SMILE: A Bottom-Up Approach Using Attention-Based Graph Neural Networks.

Understanding the pharmacokinetics, safety and efficacy of candidate drugs is crucial for their success. One key aspect is the characterization of absorption, distribution, metabolism, excretion and toxicity (ADMET) properties, which require early assessment in the drug discovery and development process. This study aims to present an innovative approach for predicting ADMET properties using attention-based graph neural networks (GNNs).

Breaking the maternity mold: navigating the return to work and challenging rigid maternal beliefs through an online psychological intervention.

Working mothers must often balance work and family responsibilities which can be affected by rigid and irrational beliefs about motherhood. The present study had two aims: (a) to provide psychometric evidence for a shortened Italian version of the Rigid Maternal Beliefs Scale (RMBS) and (b) to facilitate mothers' return to work after maternity leave by reducing perceptions of anxiety and stress related to rigid maternal beliefs (i.e.

Reinforcement Learning and PK-PD Models Integration to Personalize the Adaptive Dosing Protocol of Erdafitinib in Patients with Metastatic Urothelial Carcinoma.

The integration of pharmacokinetic-pharmacodynamic (PK-PD) modeling and simulations with artificial intelligence/machine learning algorithms is one of the most attractive areas of the pharmacometric research. These hybrid techniques are currently under investigation to perform several tasks, among which precision dosing. In this scenario, this paper presents and evaluates a new framework embedding PK-PD models into a reinforcement learning (RL) algorithm, Q-learning (QL), to personalize pharmacological treatment.

Nurse burnout before and during the COVID-19 pandemic: a systematic comparative review.

Introduction: This review aimed to compare available evidence examining burnout using the Maslach Burnout Inventory (MBI) in nurses before and during the COVID-19 pandemic. The specific objective was to compare nurse burnout scores in terms of emotional exhaustion, depersonalization, and personal accomplishment.

Methods: A comprehensive search was conducted for studies on nurses' burnout using the MBI published between 1994 and 2022.

A two-stages global sensitivity analysis by using the δ sensitivity index in presence of correlated inputs: application on a tumor growth inhibition model based on the dynamic energy budget theory.

Global sensitivity analysis (GSA) evaluates the impact of variability and/or uncertainty of the model parameters on given model outputs. GSA is useful for assessing the quality of Pharmacometric model inference. Indeed, model parameters can be affected by high (estimation) uncertainty due to the sparsity of data.

mvLognCorrEst: an R package for sampling from multivariate lognormal distributions and estimating correlations from uncomplete correlation matrix.

Background And Objective: Pharmacometrics (PMX) is a quantitative discipline which supports decision-making processes in all stages of drug development. PMX leverages Modeling and Simulations (M&S), which represents a powerful tool to characterize and predict the behavior and the effect of a drug. M&S-based methods, such as Sensitivity Analysis (SA) and Global Sensitivity Analysis (GSA), are gaining interest in PMX as they allow the evaluation of model-informed inference quality.

Employee burnout and positive dimensions of well-being: A latent workplace spirituality profile analysis.

In recent years, a new and promising construct has attracted the attention of organizational research: Workplace spirituality. To investigate the role of workplace spirituality in organizational contexts, two studies were carried out. Study 1 explored the mediation role of workplace spirituality in the relationship between positive supervisor behaviors and employee burnout.

Positive Supervisor Behaviors and Employee Performance: The Serial Mediation of Workplace Spirituality and Work Engagement.

Organizational research has highlighted the crucial role of supervisors in promoting employee well-being and performance. According to the motivational approach, supervisors positively influence employees' outcomes by enhancing their positive feelings. In this study, we examine how positive supervisor behaviors may improve employee performance through the serial mediation of workplace spirituality and work engagement.

An Opportunity to Grow or a Label? Performance Appraisal Justice and Performance Appraisal Satisfaction to Increase Teachers' Well-Being.

Performance management is a key factor to enhance professional development and improve teaching quality. This process is successful only if teachers perceive it as fair, clear, and effective: namely, if it is satisfying. Carefully considering teachers' attributions in the performance appraisal process is fundamental to better clarify the relations between performance management and positive individual outcomes.

When Does Work Interfere With Teachers' Private Life? An Application of the Job Demands-Resources Model.

The purpose of this study is to examine the relationship between contextual work-related factors on the one hand, in terms of job demands (i.e., risk factors) and job resources (i.

Ethical Leadership as Antecedent of Job Satisfaction, Affective Organizational Commitment and Intention to Stay Among Volunteers of Non-profit Organizations.

The aim of this paper is to investigate among a group of non-profit organizations: (a) the effect of ethical leadership (EL) on volunteers' satisfaction, affective organizational commitment and intention to stay in the same organization; (b) the role played by job satisfaction as a mediator in the relationship between EL and volunteers' intentions to stay in the same organization, as well as between EL and affective commitment. An anonymous questionnaire was individually administered to 198 Italian volunteers of different non-profit organizations. The questionnaire contained the Ethical Leadership Scale, the Volunteers Satisfaction Index, the Affective organization Scale, as well as questions regarding the participants' age, sex, type of work, level of education, length of their volunteer works, intention to volunteer in the following months in the same organization.

The moderating role of job resources in the relationship between job demands and interleukin-6 in an Italian healthcare organization.

In this study we examined the association between job demands (JD), job resources (JR), and serum levels of a possible biomarker of stress, the pro-inflammatory cytokine interleukin-6 (IL-6). According to the buffer hypothesis of the Job Demands-Resources (JD-R) model, we expected that job resources-defined as job autonomy and social support from supervisor-might buffer the relationship between job demands, defined as emotional demands and interpersonal conflict with colleagues, and IL-6. Data from 119 employees in an Italian public healthcare organization (acute care hospital) were analyzed using multiple regression.

Small opportunities are often the beginning of great enterprises: The role of work engagement in support of people through the recovery process and in preventing relapse in drug and alcohol abuse.

Background: This study, carried out in five Therapeutic Communities (TCs), aims to evaluate the relationship between social support and sense of community for people with pathological addictions and the personal and professional dimensions of hope, resilience, work engagement, future time perspective, and job performance. Support to the person is attained through social support at work by the supervisor and the person's sense of belonging to the community.

Objective: The purpose of this article is to analyze the relationship between social support, sense of community, hope, resilience, work engagement, future time perspective, and job performance.

The mediating role of interpersonal conflict at work in the relationship between negative affectivity and biomarkers of stress.

This study examined the association between interpersonal conflict at work (ICW) and serum levels of three possible biomarkers of stress, namely the pro-inflammatory cytokines Interleukin 1 beta (IL-1β), Interleukin 12 (IL-12), and Interleukin 17 (IL-17). Additionally, this study investigated the role of negative affectivity (NA) in the relationship between ICW and the pro-inflammatory cytokines. Data from 121 employees in an Italian healthcare organization were analyzed using structural equation modeling.

Characterizing scientific production of Italian Oral Surgery professionals through evaluation of bibliometric indices.

The aim of this study was to characterize the scientific production of Italian Oral Surgery professionals by evaluating different bibliometric indices. The bibliometric evaluation was conducted on the Scopus Database upon all the Active Members joining three important Italian scientific societies in Oral Surgery (SIdCO, SIO, and SICOI). The scientific production was analysed by considering the number of total publications, number of total citations, h-index, and hc-index.

Laparoscopic versus open total mesorectal excision for stage I-III mid and low rectal cancer: a retrospective 5 years analysis.

Introduction: Total mesorectal excision (TME) is the cornerstone of a correct surgical therapy for extraperitoneal rectal cancer. Aim of the study is to evaluate our 5 years experience confronting retrospectively laparoscopic (lap) TME in respect to its laparotomic (open) counterpart.

Patients And Methods: 30 patients were treated laparoscopically for stage I-III extraperitoneal rectal cancer and retrospectively compared to a homogeneous group, stratified for sex, age, comorbidities and stage of disease.

Macroscopic and microscopic evaluation of a new implant design supporting immediately loaded full arch rehabilitation.

The purpose of this study is to evaluate macroscopic and microscopic appearance of a new implant design, with particular emphasis given to the type of prosthesis connection. Two dental implants of the same type (Torque Type(®), WinSix(®), BioSAFin. S.

Immunohistochemical analysis of matrix metalloproteinase-9, vascular endothelial growth factor, bone sialoprotein and i-nitric oxide synthase in calvaria vs. iliac crest bone grafts.

Objectives: The aim of this study was to investigate, in parallel to clinical and histological modifications, the expression of specific proteins involved in different extraoral autologous bone grafts integration in humans.

Material And Methods: Patients needing oral rehabilitation of posterior maxilla, with inadequate bone volume for implant placement, received bone grafts from calvaria (Group 1) and iliac crest (Group 2), respectively. From five patients from each group, with a total of 10 subjects, bone biopsy specimens were collected at two different experimental time points: at bone blocks withdrawal for grafting (T0), from donor sites, and after 4 months, from reconstructed sites.

Long-term evaluation of maxillary reconstruction by iliac bone graft.

The aim of this study was to analyze histologic and immunohistochemical modifications taking place in maxillary sites reconstructed by iliac crest bone grafts, 4 months (T1) and 10 years (T2) after grafting, in comparison to native iliac crest bone (T0).By light microscopy, T1 samples showed well-organized osteoblasts and extracellular matrix (ECM), and surrounding areas of connective tissue where a discrete number of blood vessels can be distinguished. Samples obtained from reconstructed areas after a long period of follow-up (T2) were characterized by uniform mineralized ECM with cavities containing osteocytes, whereas T0 samples disclosed both mineralized matrix and bone marrow.