[HTML][HTML] Optimizing Parkinson's Disease Prediction: A Comparative Analysis of Data Aggregation Methods Using Multiple Voice Recordings via an Automated Artificial …
Z Yang, H Zhou, S Srivastav, JG Shaffer, KE Abraham… - Data, 2025 - mdpi.com
Patient-level grouped data are prevalent in public health and medical fields, and multiple
instance learning (MIL) offers a framework to address the challenges associated with this …
instance learning (MIL) offers a framework to address the challenges associated with this …
Meta-analysis of the correlation between pulmonary hypertension and echocardiographic parameters in patients with chronic kidney disease
J Jin, W Hao, D Xie - PeerJ, 2024 - peerj.com
Objective To investigate the correlation between pulmonary hypertension (PH) and
echocardiographic parameters in patients with chronic kidney disease (CKD). Methods …
echocardiographic parameters in patients with chronic kidney disease (CKD). Methods …
Modulation of cellular ageing regulates Integrated Stress Response signalling to control blood cell homeostasis
K Ghosh, RK Iyer, S Sood, MS Islam, JG Labad… - bioRxiv, 2025 - biorxiv.org
Organismal ageing is associated with a decline in cellular and molecular functions. One of
the hallmarks of ageing is stem cell exhaustion which occurs due to dynamic changes in the …
the hallmarks of ageing is stem cell exhaustion which occurs due to dynamic changes in the …
[PDF][PDF] AI-Enhanced Multi-Algorithm R Shiny App for Predictive Modeling and Analytics-A Case study of Alzheimer's Disease Diagnostics
S Kakraba, H Wenzheng, S Srivastav, J Shaffer - researchgate.net
Background: Recent studies have demonstrated that AI can surpass medical practitioners in
diagnostic accuracy, underscoring the increasing importance of AI-assisted diagnosis in …
diagnostic accuracy, underscoring the increasing importance of AI-assisted diagnosis in …