Results 191 to 200 of about 458,223 (349)

Identification of Exhaled Volatile Organic Compounds Biomarkers for Lung Cancer Under Data‐Limited Conditions Using Data Augmentation and Multi‐View Feature Selection

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren   +10 more
wiley   +1 more source

Collaborative Synthesis for Neglected Diseases through the Open Synthesis Network: Structure-Activity Relationships of Arylaminopyrazoles as Chagas Disease Treatments. [PDF]

open access: yesACS Infect Dis
Abdulai Z   +78 more
europepmc   +1 more source

Global Diseases, Global Patents and Differential Treatment in WTO Law [PDF]

open access: yes
As of January 1, 2005, all developing country members of the WTO are required to implement the WTO Agreement on Trade Related Intellectual Property Rights (TRIPS). We analyze the issue of access to patented medicine to treat global and neglected diseases
Bradly J Condon, Tapen Sinha
core  

The Challenge of Handling Structured Missingness in Integrated Data Sources

open access: yesAdvanced Intelligent Discovery, EarlyView.
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson   +6 more
wiley   +1 more source

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah   +3 more
wiley   +1 more source

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