Background: Amnestic and vascular dementia are two common types of dementia. Currently, diagnosing and differentiating between these two conditions requires comprehensive neuropsychological testing, neuroimaging studies, and cerebrospinal fluid analysis. Identifying these conditions at early stages, i.
View Article and Find Full Text PDFObjective: Mild traumatic brain injury (mTBI) is frequently overlooked in polytrauma patients due to the overshadowing of more severe injuries, a fact that makes its identification in post-acute settings challenging since symptoms overlap with other conditions and no validated diagnostic tools exist. To address this gap, this scoping review explored the literature on mTBI diagnosis in post-acute civilian polytrauma settings.
Methods: By utilizing the Arksey and O'Malley framework and PRISMA-ScR guidelines, the review focused on studies from 2010 to 2024 related to delayed mTBI diagnosis in adults.
The application of statistical modeling in organic chemistry is emerging as a standard practice for probing structure-activity relationships and as a predictive tool for many optimization objectives. This review is aimed as a tutorial for those entering the area of statistical modeling in chemistry. We provide case studies to highlight the considerations and approaches that can be used to successfully analyze datasets in low data regimes, a common situation encountered given the experimental demands of organic chemistry.
View Article and Find Full Text PDFBackground: While preoperative optimization improves outcomes for older adults undergoing major elective surgery, no such optimization is possible in the emergent setting. Surgeons must identify postoperative interventions to improve outcomes among older emergency general surgery (EGS) patients. The objective of this cohort study was to examine the association between early follow-up with a primary care physician (PCP) and the risk of nursing home acceptance or death in the year following EGS admission among older adults.
View Article and Find Full Text PDFData-driven reaction discovery and development is a growing field that relies on the use of molecular descriptors to capture key information about substrates, ligands, and targets. Broad adaptation of this strategy is hindered by the associated computational cost of descriptor calculation, especially when considering conformational flexibility. Descriptor libraries can be precomputed agnostic of application to reduce the computational burden of data-driven reaction development.
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