[HTML][HTML] Assessing the Impact and Cost-Effectiveness of Exposome Interventions on Alzheimer's Disease: A Review of Agent-Based Modeling and Other Data Science …

SH Liu, ES Weber, KE Manz, KJ McCarthy, Y Chen… - Genes, 2024 - mdpi.com
Background: The exposome (eg, totality of environmental exposures) and its role in
Alzheimer's Disease and Alzheimer's Disease and Related Dementias (AD/ADRD) are …

Potential of GSPT1 as a novel target for glioblastoma therapy

T Sasayama, T Hamada, K Tanaka, H Nagashima… - Cell Death & …, 2024 - nature.com
Glioblastoma is the most common malignant brain tumor in adults, the survival rate of which
has not significantly improved over the past three decades. Therefore, there is an urgent …

Predicting Pedestrian Involvement in Fatal Crashes Using a TabNet Deep Learning Model

O Al-Ani, SM Haroon, D Caragea, HMA Aziz… - Proceedings of the 16th …, 2023 - dl.acm.org
To make road transportation systems safe for pedestrians, understanding the contributing
features in vehicle-pedestrian fatal crashes is critical. With a better prediction model, it is …

[HTML][HTML] Constructing a predictive model for early-onset sepsis in neonatal intensive care unit newborns based on SHapley Additive exPlanations explainable …

X Tan, X Zhang, J Chai, W Ji, J Ru… - Translational …, 2024 - pmc.ncbi.nlm.nih.gov
Background The clinical characteristics of neonatal sepsis (NS) are subtle and non-specific,
posing a serious threat to the lives of newborn infants. Early-onset sepsis (EOS) is sepsis …

Reliable RNA-seq analysis from FFPE specimens as a means to accelerate cancer-related health disparities research

V Sandulache, DC Perez-Bello, P Yadollahi, P Castro… - bioRxiv, 2024 - biorxiv.org
Whole transcriptome sequencing (WTS/RNA-Seq) is a ubiquitous tool for investigating
cancer biology. RNA isolated from frozen sources limits possible studies for analysis of …

[PDF][PDF] Pan-cancer multimodal foundation models to predict neoadjuvant immunotherapy response

I Hond - 2024 - studenttheses.uu.nl
In this study, the main objective is to develop a large, pan-cancer multimodal foundation
model that can be used to predict response to neoadjuvant immunotherapy, an unmet need …