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A machine learning approach identifies cellular senescence on transcriptome data of human cells in vitro

8 months 2 weeks ago
Although cellular senescence has been recognized as a hallmark of aging, it is challenging to detect senescence cells (SnCs) due to their high level of heterogeneity at the molecular level. Machine learning (ML) is likely an ideal approach to address this challenge because of its ability to recognize complex patterns that cannot be characterized by one or a few features, from high-dimensional data. To test this, we evaluated the performance of four ML algorithms including support vector machines...
Shamsed Mahmud

A brief report on biomarkers of cellular senescence associated with liver frailty and length of stay in liver transplantation

8 months 2 weeks ago
The proportion of older individuals needing liver transplantation is growing, resulting in an increasingly frail patient population. Frailty constitutes a constellation of cognitive and physical symptoms associated with aging and increases the risk of morbidity and mortality. Senescence is a programmed cell fate in response to stress implicated in causing frailty, age-related diseases, and aging itself. This study explores the relationship between cellular senescence, physical frailty, and liver...
William C Miller

Clin-STAR Corner: Practice Changing Advances at the Interface of Oncology and Geriatrics

8 months 2 weeks ago
Cancer and aging are inextricably linked, and older adults are a significant proportion of those diagnosed, treated, and living with and beyond a cancer diagnosis. Several large prospective studies have enhanced our understanding of how to improve the assessment, treatment, and outcomes of older adults with cancer starting therapy. This article summarizes three recent high-impact trials that produced practice-changing implications for the management of older adults with cancer that led to...
Tanyanika Phillips