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Browse normalized, publication-ready research with direct links to its evidence and source.
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Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
Loading articles data…
Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
9 articles
Newest firstMedicinal plants have long served as a primary source of bioactive compounds with essential therapeutic applications. Recent advances in functional genomics and plant biotechnology now enable precise manipulation of metabolic pathways to enhance the production of specialized metabolites with medicinal value. However, an integrative understanding of how genomic discovery can be linked with pathway engineering, scal…
Open article record in new tab ↗Cannabidiol (CBD), a phytocannabinoid with therapeutic potential for neurological and other conditions, faces significant challenges in bioavailability due to its low water solubility, high lipophilicity, and extensive first-pass metabolism. Researchers have developed advanced nanodelivery systems addressing these limitations to enhance CBD's absorption, stability, and efficacy. This review provides not only a com…
The field of nanomedicine offers revolutionary potential to reshape the discovery and development of therapeutics for diverse human diseases. However, its application has been limited in improving Substance Use Disorders (SUDs), which represent a profound public health crisis, including major types such as opioid, alcohol, stimulant, and cannabis use disorders. Pharmacotherapy, a cornerstone of SUD management, has…
Open article record in new tab ↗ObjectiveBy personalizing healthcare to an individuals specific requirements, precision health promises to maximize benefit and minimize harm, thereby maximizing value. We describe here, how in Phase 2 of the Million Veteran Program-Computational Health Analytics for Medical Precision to Improve Outcomes Now (MVP-CHAMPION), artificial intelligence (AI) and high performance computing (HPC) have been applied to Vete…
Open article record in new tab ↗IntroductionPersonalized 3D-printed kidney models could serve as valuable educational tools for patients undergoing robot-assisted partial nephrectomy. These models facilitate patients understanding of their pathology, surgical procedure, and anatomy. However, the costs associated with personalized printing remain a barrier to their use. This study aims to thoroughly investigate the benefits of using a personalize…
Artificial intelligence (AI) has transformed medicine, advancing diagnostics, treatment, and patient outcomes. This study employs bibliometric analysis and the PRISMA framework to explore AI research trends in medicine from 2019 to 2023. Key findings reveal significant growth in publications, with radiomics, genomics, and predictive analytics as major focus areas. Federated learning frameworks and wearable technol…
Open article record in new tab ↗Cannabis and related compounds have created significant research interest as a promising therapy in many disorders. However, the individual therapeutic effects of cannabinoids and the incidence of side effects are still difficult to determine. Pharmacogenomics may provide the answers to many questions and concerns regarding the cannabis/cannabinoid treatment and help us to understand the variability in individual…
Open article record in new tab ↗Almost half of individuals diagnosed with schizophrenia also present with a substance use disorder, however, little is known about potential molecular mechanisms underlying this comorbidity. We used genetic analyses to enhance our understanding of the molecular overlap between these conditions. Our analyses revealed a positive genetic correlation between schizophrenia and the following dependence phenotypes: alcoh…
Open article record in new tab ↗MotivationContemporary deep learning approaches show cutting-edge performance in a variety of complex prediction tasks. Nonetheless, the application of deep learning in healthcare remains limited since deep learning methods are often considered as non-interpretable black-box models. Layer-wise Relevance Propagation (LRP) is a technique to explain decisions of deep learning methods. It is widely used to interpret C…