Artificial aging of mice.

Bull Exp Biol Med

N. F. Gamaleya Institute of Epidemiology and Microbiology, Russian Academy of Medical Sciences, Moscow.

Published: September 2003

Clinical signs of aging verified by morphometrical analysis of brain tissue were observed in young mice 4 months after administration of brain extract from old mice (5 intraperitoneal injections).

Download full-text PDF

Source
http://dx.doi.org/10.1023/b:bebm.0000008985.31559.7dDOI Listing

Publication Analysis

Top Keywords

artificial aging
4
aging mice
4
mice clinical
4
clinical signs
4
signs aging
4
aging verified
4
verified morphometrical
4
morphometrical analysis
4
analysis brain
4
brain tissue
4

Similar Publications

: Artificial intelligence (AI) is transforming healthcare by enhancing diagnostic accuracy, treatment, and patient monitoring, benefiting older adults by offering personalized care plans. AI-powered tools help manage chronic conditions and maintain independence, making them a valuable asset in addressing aging challenges. : The objectives are as follows: 1.

View Article and Find Full Text PDF

With the acceleration of the aging process in China, chronic diseases have become one of the main health threats for older adults, creating significant pressure on society and the healthcare system. As information technology and artificial intelligence advance rapidly, smart health services have become readily accessible. However, utilization rates among the older adults, especially those with chronic illnesses, remain low, preventing them from fully benefiting from these advanced technologies.

View Article and Find Full Text PDF

With the aging population rising, the decline in spatial cognitive ability has become a critical issue affecting the quality of life among the elderly. Electroencephalogram (EEG) signal analysis presents substantial potential in spatial cognitive assessments. However, conventional methods struggle to effectively classify spatial cognitive states, particularly in tasks requiring multi-class discrimination of pre- and post-training cognitive states.

View Article and Find Full Text PDF

Statement Of Problem: Staining at the gingival margin could impact denture longevity, but the behavior of gingival colored composite resins (GCCs) in this area remains unclear.

Purpose: This in vitro study evaluated surface staining, microleakage, and push-out bond strength at the gingival margin of artificial teeth, comparing two consistencies of GCCs with two resin base materials.

Material And Methods: Specimens included artificial teeth (Ivostar; Ivoclar AG) and two acrylic resin base materials: conventional (Ondacryl; Clássico) and high-impact (Diamond D; Keystone Industries) (n=300).

View Article and Find Full Text PDF

Background: The aging global population and the rising prevalence of chronic disease and multimorbidity have strained health care systems, driving the need for expanded health care resources. Transitioning to home-based care (HBC) may offer a sustainable solution, supported by technological innovations such as Internet of Medical Things (IoMT) platforms. However, the full potential of IoMT platforms to streamline health care delivery is often limited by interoperability challenges that hinder communication and pose risks to patient safety.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!