Extended-release amphetamine (Dyanavel XR) is associated with reduced immediate-release supplementation in adults with ADHD, regardless of baseline patient variables: a retrospective cohort analysis of medical treatment records.

Background: Adults with ADHD benefit from treatment with extended-release (ER) formulations that provide symptom control for the entire day. Some patients are advised to supplement their extended-release medication with an immediate-release (IR) medication later in the day if they need to prolong its effects. Given that several FDA-approved ER formulations are available and many individual patient variables may affect efficacy, the purpose of this study was to identify reliable predictors of the tendency for patients to supplement their daily ER medication with an IR medication.

Enhanced motivated behavior mediated by pharmacological targeting of the FGF14/Na1.6 complex in nucleus accumbens neurons.

Protein/protein interactions (PPI) play crucial roles in neuronal functions. Yet, their potential as drug targets for brain disorders remains underexplored. The fibroblast growth factor 14 (FGF14)/voltage-gated Na channel 1.

Modeling immune checkpoint inhibitor associated myocarditis and its therapeutic implications.

Immune checkpoint inhibitor-associated myocarditis is the most lethal side effect of immune checkpoint blockade. Myocarditis leads to persistently increased mortality and lacks effective treatments. The development of patient-relevant disease models may enable disease prediction, increased understanding of disease pathophysiology, and the development of effective treatment strategies.

Health equity innovation in precision medicine: data stewardship and agency to expand representation in clinicogenomics.

Most forms of clinical research examine a very minute cross section of the patient journey. Much of the knowledge and evidence base driving current genomic medicine practice entails blind spots arising from underrepresentation and lack of research participation in clinicogenomic databases. The flaws are perpetuated in AI models and clinical practice guidelines that reflect the lack of diversity in data being used.