Behind the Paper
The real stories behind the latest research papers, from conception to publication, the highs and the lows
Filtered by: General & Internal Medicine
COVID-19's Hidden Toll: Analyzing Changes in Marriage, Divorce, and Birth Rates
Our recent study examines the significant demographic changes in Kerman Province, Iran, during the COVID-19 pandemic, focusing on marriage, divorce, birth, and death rates. Utilizing Poisson regression and interrupted time-series models, we analyzed data spanning from 2017 to 2020.
The promise in the Sound of a Cough
The image of a world where doctors can diagnose diseases like tuberculosis (TB) simply by listening to the sound of your cough might sound like something from science fiction. Yet, thanks to advances in artificial intelligence (AI) and machine learning, this future is closer than ever before.
The relationship between lifestyle habits and obesity among students in the Eastern province of Saudi Arabia: using the Arab Teens Lifestyle (ATLS) questionnaire
First study that administered the Arab Teens Lifestyle Study (ATLS) questionnaire among the university students of the Eastern Province of the Kingdom of Saudi Arabia
How can we reduce the carbon footprint of cataract surgery pathways?
Our recently published paper considers the carbon saving that can be made by looking at key elements of an idealised patient pathway for cataract surgery and comparing it to current practice in England (1).
Preliminary Phase 2a Readout for a Novel Drug Discovered and Designed Using Generative AI Sets a Major Milestone in AI-Powered Drug Discovery
Insilico Medicine’s AI-Designed Small Molecule Inhibitor for the Treatment of Idiopathic Pulmonary Fibrosis Yields Positive, Promising Phase 2 Trial Data
Providing quality of care feedback using Bayesian Machine Learning in Urology
A better method of measuring the quality of care delivered in specialities that lack the proper funding for comprehensive quality indicators developed by clinical quality registries using Bayesian machine learning and large administrative datasets.
