-
Mashup Score: 0
Background Safe blood is essential for the care of patients with life-threatening anemia and hemorrhage. Low blood donation rates, inefficient testing procedures, and other supply chain disruptions in blood administration affect patients in low-resource settings across Sub-Saharan countries, including Kenya. Most efforts to improve access to transfusion have been unidimensional, usually focusing on only point along the blood system continuum, and have excluded community stakeholders from early stages of intervention development. Context-appropriate interventions to improve the availability of safe blood at the point of use in low-resource settings are of paramount importance. Thus, this protocol proposes a multifaceted approach to characterize the Kenyan blood supply chain through quantitative and qualitative analyses as well as an industrial engineering approach. Methods This study will use a mixed-methods approach in addition to engineering process mapping, modeling and simulation of
Categories: Hem/Oncs, Latest HeadlinesTweet
-
Mashup Score: 3Microfluidic Model of Necrotizing Enterocolitis Incorporating Human Neonatal Intestinal Enteroids and a Dysbiotic Microbiome | Protocol - 8 month(s) ago
Scientific Article | This protocol describes an in vitro model of necrotizing enterocolitis (NEC), which can be used for mechanistic studies into…
Source: www.jove.comCategories: Healthcare Professionals, Latest HeadlinesTweet
-
Mashup Score: 2A Paper-Based Simulation Model for Teaching Inguinal Hernia Anatomy - World Journal of Surgery - 10 month(s) ago
Background Inguinal hernias remain a challenging area of learning for medical students due to its relatively complex anatomy. Modern curriculum delivery methods are conventionally limited to didactic lectures and demonstration of anatomy intraoperatively. These strategies have limitations; lectures are inherently descriptive and based on 2-dimensional models, while intraoperative teaching is…
Source: SpringerLinkCategories: Healthcare Professionals, Latest HeadlinesTweet
-
Mashup Score: 6Exploring Language-Agnostic Speech Representations Using Domain Knowledge for Detecting Alzheimer’s Dementia - 12 month(s) ago
We explore ways to use speech data to screen for indications of Alzheimer’s dementia (AD). In particular, we describe our approach to the ICASSP 2023 Signal Processing Grand Challenge, which involves extrapolating from models learned from English speech samples, to Greek speech samples, to determine which subjects have AD. By using acoustic and linguistic features, inspired by clinical research…
Source: ieeexplore.ieee.orgCategories: General Medicine News, Latest HeadlinesTweet
-
Mashup Score: 0Pharmacophenotype identification of intensive care unit medications using unsupervised cluster analysis of the ICURx common data model - Critical Care - 12 month(s) ago
Background Identifying patterns within ICU medication regimens may help artificial intelligence algorithms to better predict patient outcomes; however, machine learning methods incorporating medications require further development, including standardized terminology. The Common Data Model for Intensive Care Unit (ICU) Medications (CDM-ICURx) may provide important infrastructure to clinicians and…
Source: BioMed CentralCategories: Latest Headlines, PulmonologyTweet
-
Mashup Score: 0Can We Predict Graft Intolerance Syndrome After Kidney Transplant Failure? External Validation of a Previously Developed Model - 12 month(s) ago
Previously we established a prediction model for graft intolerance syndrome requiring graft nephrectomy in patients with late kidney graft failure. The aim of this study is to determine generalizability of this model in an independent cohort. The validation cohort included patients with late kidney graft failure between 2008 and 2018. Primary outcome is the prognostic performance of our model,…
Source: FrontiersCategories: Latest Headlines, TransplantationTweet
-
Mashup Score: 2How to Create a Primary Respiratory Care Model - 1 year(s) ago
Respiratory therapists (RTs) are credentialed health professionals who specialize in assessment of pulmonary conditions, performing assessment of pulmonary function and delivering pulmonary therapeutics including aerosol therapy, and noninvasive and invasive mechanical ventilation. Respiratory therapists work closely with various clinicians including physicians, nurses, and therapy staff in a…
Source: CHESTCategories: Latest Headlines, PulmonologyTweet
-
Mashup Score: 1Fundamental limits to learning closed-form mathematical models from data - Nature Communications - 1 year(s) ago
Learning analytical models from noisy data remains challenging and depends essentially on the noise level. The authors analyze the transition of the model-learning problem from a low-noise phase to a phase where noise is too high for the underlying model to be learned by any method, and estimate upper bounds for the transition noise.
Source: NatureCategories: General Medicine News, Latest HeadlinesTweet
-
Mashup Score: 1
Infectious disease modeling plays an important role in understanding disease spreading dynamics and can be used for prevention and control. The well-known SIR (Susceptible, Infected, and Recovered) compartment model and spatial and spatio-temporal statistical models are common choices for studying problems of this kind. This paper proposes a spatio-temporal modeling framework to characterize…
Source: SpringerLinkCategories: General Medicine News, Latest HeadlinesTweet
-
Mashup Score: 0
BackgroundTuberculous spondylitis (TS) and brucellar spondylitis (BS) are commonly observed in spinal infectious diseases, which are initially caused by bacteremia. BS is easily misdiagnosed as TS, especially in underdeveloped regions of northwestern China with less sensitive medical equipment. Nevertheless, a rapid and reliable diagnostic tool remains to be developed and a clinical diagnostic…
Source: FrontiersCategories: Latest Headlines, PulmonologyTweet
.@NIH_NHLBI-funded investigators publish #protocol for #BLOODSAFE #Kenya🇰🇪 See the conceptual #model's 3x3x3 matrix components: #pathways #settings #systems. #HIV #SDOH #GlobalHealth #ImpSci @NHLBI_BLOODDir @Fogarty_NIH @PEPFAR #policy #evidence @NIH Read https://t.co/m0jqlua4Ge https://t.co/eseHXnBxip