Month: June 2023

Using Ensemble Deep Learning to Uncover Potential Drug-Target Interactions

Imagine you’re a scientist on a mission to uncover hidden treasures. You gather your trusty tools – Gradient boosting neural network, Deep neural network, and Deep Forest – and embark on an exciting adventure. In this study, researchers developed a groundbreaking method called EnGDD to predict drug-target interactions. Like an archaeologist sifting through layers of […]

Published on June 15, 2023

Exploring the effectiveness of acupuncture and pharmacological therapies for VCIND

Just like a detective investigating different clues to solve a mystery, scientists conducted a network meta-analysis to compare the effectiveness of acupuncture therapies and drug treatments for vascular cognitive impairment with no dementia (VCIND). VCIND is considered the early stage of vascular dementia, and it has a slow and gradual onset. The study included 33 […]

Published on June 15, 2023

Diabetes and Parkinson’s: What’s the connection?

Imagine if our bodies were like a computer network, with each system interconnected and influencing the others. Well, it turns out that diabetes and Parkinson’s disease might be more connected than we thought! A recent systematic review and meta-analysis explored the relationship between diabetes mellitus, prediabetes, and the risk and progression of Parkinson’s disease. The […]

Published on June 15, 2023