Publications by authors named "Soumyabrata Dev"
Article Synopsis
- - T follicular helper cells (Tfh) play a crucial role in B-cell maturation and antibody production in the immune system but have complex effects on tumor immunity, potentially aiding anti-tumor responses or facilitating tumor growth.
- - Their dual role derives from their ability to manipulate cytokine secretion, which influences other immune cells like cytotoxic T cells and natural killer cells.
- - Understanding Tfh cells is essential for optimizing cancer treatments, as they can serve as biomarkers for immunotherapy response and potential targets for new therapeutic strategies in clinical trials.
Article Synopsis
- Electronic Health Records (EHRs) are essential to modern healthcare but introduce serious security threats due to lack of access auditing, which leads to accountability issues and unauthorized data changes.
- The study highlights the need for stronger auditing mechanisms to monitor data access and prevent risks such as data breaches by implementing features like immutable audit trails and Purpose-Based Access Control.
- By utilizing blockchain technology and smart contracts, the research aims to improve compliance auditing, create comprehensive audit logs, and enhance data security through better access validation.
Air pollution has become one of the biggest challenges for human and environmental health. Major pollutants such as Nitrogen Dioxide (NO ), Sulphur Dioxide (SO ), Ozone (O ), Carbon Monoxide (CO), and Particulate matter (PM and PM) are being ejected in a large quantity every day. Initially, authorities did not implement the strictest mitigation policies due to pressures of balancing the economic needs of people and public safety.
View Article and Find Full Text PDFGround-based sky imagers (GSIs) are increasingly becoming popular amongst the remote sensing analysts. This is because such imagers offer fantastic alternatives to satellite measurements for the purpose of earth observations. In this paper, we propose an extremely low-cost and miniature ground-based sky camera for atmospheric study.
View Article and Find Full Text PDFANNet: A Lightweight Neural Network for ECG Anomaly Detection in IoT Edge Sensors.
IEEE Trans Biomed Circuits Syst
February 2022
In this paper, we propose a lightweight neural network for real-time electrocardiogram (ECG) anomaly detection and system level power reduction of wearable Internet of Things (IoT) Edge sensors. The proposed network utilizes a novel hybrid architecture consisting of Long Short Term Memory (LSTM) cells and Multi-Layer Perceptrons (MLP). The LSTM block takes a sequence of coefficients representing the morphology of ECG beats while the MLP input layer is fed with features derived from instantaneous heart rate.
View Article and Find Full Text PDFStudies have identified various risk factors associated with the onset of stroke in an individual. Data mining techniques have been used to predict the occurrence of stroke based on these factors by using patients' medical records. However, there has been limited use of electronic health records to study the inter-dependency of different risk factors of stroke.
View Article and Find Full Text PDF