Background Artificial intelligence (AI), with its seemingly limitless power, holds the promise
to truly revolutionize patient healthcare. However, the discourse carried out in public does …

The multistep translational science behind new drugs comprehends the entire process
through laboratory, clinical, and community observations turned into health interventions …

Background In the context of translational research, researchers have increasingly been
using biological samples and data in fundamental research phases. To explore informed …

Background Mental illness contributes substantially to global disease burden, particularly
when illness onset occurs during youth and help-seeking is delayed and/or limited. Yet, few …

Ethnopharmacological relevance Development of a new term which describes the
contemporary, composite, constituent sciences of ethnopharmacology. Aim of the study To …

Background Depending on the needs of scientific research at a given time, biobanks make
biological samples and data available to researchers. In this article, we aim to describe the …

The success rate for translation of newly engineered medical technologies into clinical
practice is low. Traversing the “translational valleys of death” requires a high level of …

Background The research program CARPEM (cancer research and personalized medicine)
brings together the expertise of researchers and hospital-based oncologists to develop …

McCradden et al.'s (2022) article makes a distinctive contribution to the growing literature on
the ethics of artificial intelligence in medicine. Not only do the authors raise important ethical …

Translational research is the science of application of basic research knowledge to develop
novel methods of improving public health outcome. This review briefly discusses the various …