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
Automated Differentiation of Wide QRS Complex Tachycardia: A Game-Changer in Cardiac Care
Wide QRS complex tachycardia (WCT) is a critical arrhythmia requiring accurate differentiation into ventricular tachycardia (VT) or supraventricular wide complex tachycardia (SWCT). Our machine learning-based algorithms use novel ECG features to enhance diagnostic precision, speed, and reliability.
Towards Sustainable Benchmarking in AI for Digital Pathology
Deep Learning (DL) can transform medical diagnostics, but its environmental cost is often overlooked. A new benchmarking approach for DL in pathology is vital, integrating carbon footprint with diagnostic performance to develop sustainable, efficient AI solutions.
Offsetting Ozempic's Price Tag with Lower Food Costs
Many are rightfully concerned with the prices of novel anti-obesity medications, which can limit access to these transformational drugs. However, many U.S. patients reported spending less on food , with savings offsetting out of pocket medication costs for 41% of the surveyed sample.
Plasminogen activator inhibitor-2 and impaired fibrinolysis in pregnancy and sickle cell anemia
This is the first study that aimed to determine antigen levels in plasma and genotypes of PAI-2 in pregnant and non-pregnant homozygous sickle cell anemia (SCA) patients.
Old drugs, new tricks!
We explore the use of older bisphosphonates in the treatment of rare diseases of calcification.
Bridging Dental Education and Technology
Can mobile apps revolutionize dental education? Our study developed and tested a smartphone-based app for teaching oral health needs assessment. While the app didn’t outperform traditional methods, students' enthusiasm for mobile learning highlights opportunities for future innovation.
Aging-dependent loss of functional connectivity in a mouse model of Alzheimer’s disease and reversal by mGluR5 modulator
Alzheimer’s disease is challenging to tackle: it can affect the brain years before symptoms like memory loss arise. Yet, this slow progress gives us a long window where early detection could slow or stop its progression. Our study dives into how brain imaging and mouse models can help us get there.
