Behind the Paper
The real stories behind the latest research papers, from conception to publication, the highs and the lows
Crossmodal Generative AI improves Multimodal Cancer Predictions
Researchers at Alan Turing Institute (UK's national institute for AI) and Indian Association for Clutivation of Science (India's oldest national research institute) have recently shown that crossmodal AI based generation of trascriptomics from digital pathology improves multimodal cancer predictions
A wireless and bioresorbable approach to temporary pain control
Postoperative pain is often managed with drugs despite clear limitations. We developed a soft wireless and bioresorbable nerve block that uses ultrasound activated triboelectric polymers to control pain signals temporarily and reversibly without electrodes wires or batteries.
Nutrition knowledge, dietary diversity, and household food security among mothers of under-five children in Abakaliki, Ebonyi State, Nigeria.
Behind the Paper: When Nutrition Knowledge Is Not Enough — Lessons from Mothers and Children in Ebonyi State, Nigeria
Enhancing PM2.5 Air Pollution Forecasting with Novel Random Imputation Based on Hybrid RNN-Bidirectional GRU (nRI RNN-BiGRU) Model
The issue of air pollution is critical for both environment and global public health. It is crucial to develop accurate forecasting method to substantially mitigate the adverse health effects of air pollution. Missing data is common in dataset where specific observations or values are not recorded.
Spatio-Temporal Forecasting using a Hybrid BiGRU-1DCNN Model for PM2.5 Concentrations in Delhi, India (2018-2023) Across Multiple Monitoring Stations
Air quality deterioration, particularly the suspension of particulate matter over large urban areas, has emerged as a significant environmental concern. This issue, exacerbated by urbanization, industrialization, human activities, and climate change, poses serious health risks to populations.
Quantum-inspired neural networks for time-series air pollution prediction and control of the most polluted region in the world
Researchers in the field of quantum computing are primarily focused on quantum-inspired algorithms, which function effectively on classical computers while incorporating quantum principles. A significant challenge in heavily polluted areas is accurately predicting air pollution levels.