Cardio-sarcopenia: A syndrome of concern in aging.

Cardiac alterations in structure and function, namely, the left ventricle, have been intensely studied for decades, in association with aging. In recent times, there has been keen interest in describing myocardial changes that accompany skeletal muscle changes in older adults. Initially described as a cardio-sarcopenia syndrome where alterations in myocardial structure were observed particularly among older adults with skeletal muscle sarcopenia, investigations into this syndrome have spurred a fresh level of interest in the cardiac-skeletal muscle axis.

Explainable machine learning predictions to support personalized cardiology strategies.

Aims: A widely practiced intervention to modify cardiac health, the effect of physical activity on older adults is likely heterogeneous. While machine learning (ML) models that combine various systemic signals may aid in predictive modelling, the inability to rationalize predictions at a patient personalized level is a major shortcoming in the current field of ML.

Methods And Results: We applied a novel methodology, SHapley Additive exPlanations (SHAP), on a dataset of older adults  = 86 (mean age 72 ± 4 years) whose physical activity levels were studied alongside changes in their left ventricular (LV) structure.

A deep learning approach to the screening of malaria infection: Automated and rapid cell counting, object detection and instance segmentation using Mask R-CNN.

Accurate and early diagnosis is critical to proper malaria treatment and hence death prevention. Several computer vision technologies have emerged in recent years as alternatives to traditional microscopy and rapid diagnostic tests. In this work, we used a deep learning model called Mask R-CNN that is trained on uninfected and Plasmodium falciparum-infected red blood cells.

Discovery, Identification, and Functional Characterization of Plant Long Intergenic Noncoding RNAs After Virus Infection.

Long intergenic noncoding RNAs (lincRNAs), which possess diverse features such as remodeling chromatin and genome architecture, RNA stabilization, and genome architecture, are important regulatory factors in plant genomes. They serve to fine-tune the expression of neighboring genes. Here, we describe a procedure of discovery, identification, and functional characterization of plant lincRNAs after virus infection.

Upregulation of LINC-AP2 is negatively correlated with AP2 gene expression with Turnip crinkle virus infection in Arabidopsis thaliana.

A long intergenic noncoding RNA LINC - AP2 is upregulated and negatively correlated with AP2 gene expression with Turnip crinkle virus infection in Arabidopsis. Plant vegetative growth and floral reproductive structure were severely retarded and distorted in Turnip crinkle virus (TCV)-infected Arabidopsis thaliana. Compared to mock-inoculated plants, the stamen filaments were shorter in flowers of TCV-infected plants.