Publications by authors named "P Vidyullatha"
Article Synopsis
- Ovarian cancer poses a significant health challenge, and the study introduces a new method using Temporal Analysis and Graph Neural Networks (GNNs) to improve survival predictions, addressing limitations in existing methods.
- The proposed approach shows notable improvements over previous methods, including an 8.3% gain in precision and reduced prediction latency by 2.9%, by leveraging longitudinal patient data to identify trends and complex interactions in clinical information.
- The results have practical implications, allowing healthcare professionals to customize treatment plans and enhance patient care through better understanding and collaboration facilitated by the model's interpretability.
The examination of seated occupants' ride comfort under whole-body vibration is a complex topic that involves multiple factors. Whole-body vibration refers to the mechanical vibration that is transmitted to the entire body through a supporting surface, such as a vehicle seat, when traveling on rough or uneven surfaces. There are several methods to assess ride comfort under whole-body vibration, such as subjective assessments, objective measurements, and mathematical models.
View Article and Find Full Text PDFObjective: We aimed to study the genotoxic effects in traffic police who are occupationally exposed due to higher free radical generation.
Methods: Ambient and breathing zone air samples were analyzed blood samples were collected for analysis of antioxidant enzymes Superoxide Dismutase (SOD), Glutathione Peroxidase (GPx) and free radicals - nitric oxide (NO) and malondialdehyde (MDA) levels using a spectrophotometer. DNA damage was measured with the comet assay.
Context: With rapid economic growth and massive development of transportation, the number of automobiles has greatly increased. Traffic police are the one of the vulnerable groups predominantly exposed to vehicular exhaust during traffic control.
Objective: The present study is aimed to study the relation between occupational exposure to vehicular exhaust and oxidative stress (OS) in traffic police.