The disease amyloid plaques, neurofibrillary tangles, synaptic dysfunction, and neuronal death gradually accumulate throughout Alzheimer's disease (AD), resulting in cognitive decline and functional disability. The challenges of dataset quality, interpretability, ethical integration, population variety, and picture standardization must be addressed using deep learning for the functional magnetic resonance imaging (MRI) classification of AD in order to guarantee a trustworthy and practical therapeutic application. In this manuscript Classifying AD using a finite basis physics neural network (CAD-FBPINN) is proposed.
View Article and Find Full Text PDFPhyto-bioactive (PB) compounds are naturally occurring substances derived from plants that offer significant health benefits ranging from antioxidant and anti-inflammatory activities to potential cancer-fighting properties. However, their widespread application is limited by several inherent limitations, such as low bioavailability, poor biostability, limited aqueous solubility, and no site-specific target. Additionally, the necessity for high concentrations of effective PBs doses further restricts their use.
View Article and Find Full Text PDFClinical trials, which investigate the effects of drugs in humans, aim to determine safety and efficacy while identifying adverse reactions. Data consistency and subject safety are crucial factors that determine the quality of clinical trials, necessitating overall quality management. There is a growing emphasis on implementing quality systems during the planning stages of clinical trials.
View Article and Find Full Text PDFBioactive compounds derived from plants have been investigated for treating various pathological conditions. However, the utilization of these compounds has challenges such as instability, low solubility and bioavailability. To overcome these challenges, the encapsulation of bioactive molecules with in a novel nano carrier system enabling effective delivery and clinical translation has become essential.
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