Skip To Main Content
Sbx BioSciences on Muck Rack

Sbx BioSciences

As seen in: BioRxiv
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Sbx

Contact Sbx, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Explainable machine learning algorithm predicting working memory performance in Parkinson’s disease using task-fMRI - Journal of Neurology

|
By Sbx BioSciences
| link.springer.com
Abstract Parkinson’s disease (PD) is a neurodegenerative disorder that affects both motor and cognitive functions, particularly working memory (WM). Machine learning offers an advantage for decoding complex brain activity patterns, but its application to task-based functional magnetic resonance imaging (task-based fMRI) has been limited. This study aimed to develop an explainable machine learning model to classify WM performance levels in PD based on task-based fMRI data.
Open in Who Shared Issue with article?

Replicating a High-Impact Scientific Publication Using Systems of Large Language Models

|
By Dennis Bersenev, Ayako Yachie, Sucheendra K Palaniappan, Sbx BioSciences
| BioRxiv
Abstract Publications focused on scientific discoveries derived from analyzing large biological datasets typically follow the cycle of hypothesis generation, experimentation, and data interpretation. The reproduction of findings from such papers is crucial for confirming the validity of the scientific, statistical, and computational methods employed in the study, and it also facilitates the foundation for new research.
Open in Who Shared Issue with article?
See all 2 articles