A growing number of artificial intelligence (AI)-based clinical decision support systems are
showing promising performance in preclinical, in silico, evaluation, but few have yet …

The particularly interdisciplinary nature of human microbiome research makes the
organization and reporting of results spanning epidemiology, biology, bioinformatics …

Objective To estimate the efficacy of exercise on depressive symptoms compared with non-
active control groups and to determine the moderating effects of exercise on depression and …

Abstract Background An epidemic of Coronavirus Disease 2019 (COVID-19) began in
December 2019 and triggered a Public Health Emergency of International Concern (PHEIC) …

The CONSORT 2010 statement provides minimum guidelines for reporting randomised
trials. Its widespread use has been instrumental in ensuring transparency in the evaluation …

Artificial intelligence (AI) can predict the presence of molecular alterations directly from
routine histopathology slides. However, training robust AI systems requires large datasets …

The purpose of this overview of systematic reviews was to determine the relationship
between different types and patterns of sedentary behaviour and selected health outcomes …

Research on the adverse effects of mindfulness-based programs (MBPs) has been sparse
and hindered by methodological imprecision. The 44-item Meditation Experiences Interview …

Introduction: There is increasing interest in the potential for psychedelic drugs such as
psilocybin, LSD and ketamine to treat several mental health disorders, with a growing …

Does removing constraints on the time and place of work benefit the utility of workers and
firms? We design a randomized experiment of a sample of workers in a large Italian …