Background: The increased use of digital data in health research demands interdisciplinary collaborations to address its methodological complexities and challenges. This often entails merging the linear deductive approach of health research with the explorative iterative approach of data science. However, there is a lack of structured teaching courses and guidance on how to effectively and constructively bridge different disciplines and research approaches.
View Article and Find Full Text PDFDeciphering the sources of variability in drug responses requires to understand the processes modulating drug pharmacokinetics. However, pharmacological research suffers from poor reproducibility across clinical, animal, and experimental models. Predictivity can be improved by using Organs-on-Chips, which are more physiological, human-oriented, micro-engineered devices that include microfluidics.
View Article and Find Full Text PDFOvarian cancer is one of the deadliest gynecologic cancers affecting the female reproductive tract. This is largely attributed to frequent recurrence and development of resistance to the platinum-based drugs cisplatin and carboplatin. One of the major contributing factors to increased cancer progression and resistance to chemotherapy is the tumor microenvironment (TME).
View Article and Find Full Text PDFThe cerebellum is involved in non-motor processing, supported by topographically distinct cerebellar activations and closed-loop circuits between the cerebellum and the cortex. Disruptions to cerebellar function may negatively impact prefrontal function and processing. Cerebellar resources may be important for offloading cortical processing, providing crucial scaffolding for normative performance and function.
View Article and Find Full Text PDFBackground: The relationship between maternal obesity and childhood cognitive development remains unclear. Prior studies did not adjust for important confounders, and preterm infants are a developmentally distinct group that remains scarcely examined.
Objectives: To determine whether maternal prepregnancy body mass index (BMI) is associated with offspring intelligence quotient (IQ) up to 5 years and whether this relationship varies with gestational age.