Background: Seriously ill older adults have high risk of mortality, symptom burden, and compromised functional status, and may benefit from community-based palliative care ("palliative care"). However, identifying potentially eligible individuals is challenging.
Objectives: Identify how a palliative care team makes eligibility determinations, including the use of a mortality risk algorithm.
Context: Assessing the overall sustainability of a diet is a challenging undertaking requiring a holistic approach capable of addressing the multicriteria nature of this concept.
Objective: The aim was to identify and summarize the multicriteria measures used to assess the sustainability characteristics of diets reported at the individual level by healthy adults.
Data Sources: Articles were identified via PubMed, Scopus, and Web of Science.
To prioritize compounds with a higher likelihood of success, artificial intelligence models can be used to predict absorption, distribution, metabolism, excretion and toxicity (ADMET) properties of molecules quickly and efficiently. Models were trained with BioPrint database proprietary data along with public datasets to predict various ADMET end points for the SAFIRE platform. SAFIRE models performed at or above 75% accuracy and 0.
View Article and Find Full Text PDFCellular therapy development and manufacturing has focused on providing novel therapeutic cell-based products for various diseases. The International Organization for Standardization (ISO) has provided guidance on critical quality attributes (CQAs) that shall be considered when testing and releasing cellular therapeutic products. Cell count and viability measurements are two of the CQAs that are determined during development, manufacturing, testing, and product release.
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