Behind the Paper
The real stories behind the latest research papers, from conception to publication, the highs and the lows
Uncovering Risk Factors for Heart Disease and Predicting Outcomes Using Machine Learning Approaches
This study aims to create a robust machine learning model capable of accurately discerning the presence of heart-related disorders. The aim of this study is to find the best machine learning classification model that is most suitable for predicting risk factors related to heart disease.
Identifying determinants of malnutrition in under-five children in Bangladesh: insights from the BDHS-2022 cross-sectional study
In this study, we utilize Bangladesh Demographic and Health Survey (BDHS) 2022 data to identify and quantify key determinants of under-five malnutrition (underweight, wasting, stunting) and evaluates various machine learning models for predicting malnutrition.
Engineering alcohol dehydrogenase for better utilization of nicotinamide cofactor biomimetics
Jiangnan Univ's Prof. Ye Ni discovered the first natural ADH utilizing synthetic NCBs, advancing synthetic biology & industrial enzyme engineering for enhanced biocatalysis.
Attitudes of Health Care Providers in Relation to Disability, Saudi Arabia
Since only a few studies looked into the attitudes of health care providers toward people with disabilities in Saudi Arabia, we covered this gap, using attitudes toward disabled persons (ATDP) scale.
AI-driven monitoring of concrete crack widths: a dataset for training deep learning models
We shared a methodology and a large dataset for training deep learning models to assess concrete crack widths, particularly suited for self-healing monitoring. These resources can support research techniques and ultimately contribute to improving the durability and safety of concrete structures.
NTRK activation in cancer is more than fusions
TRK inhibitors have had some of the most remarkable clinical impacts for patients with tumours driven by oncogenic gene fusions in the TRK genes. But are there other structural variants involving the TRKs that drive cancer? Can these also be targeted by TRK inhibitors?
COMPOSER-LLM: Giving AI the Power to Understand the Story Behind Sepsis and Save Lives
We developed COMPOSER-LLM, an AI system that dives into doctors' notes to spot sepsis earlier, showing how language models can boost life-saving predictions in busy hospitals.
Behind the Paper: Potent antagonist for the MAS-related G protein-coupled receptor and its mouse ortholog with anti-inflammatory, anti- asthmatic, and anti-anaphylactic efficacy in human mast cells and mice
This is the story behind the paper by Al Hamwi et al., recently published in Signal. Transduct. Target. Ther. 2025, 10, 128. doi: 10.1038/s41392-025-02209-8.
