Machine learning and decision support in critical care
Clinical data management systems typically provide caregiver teams with useful information,
derived from large, sometimes highly heterogeneous, data sources that are often changing …
derived from large, sometimes highly heterogeneous, data sources that are often changing …
Artificial intelligence and machine learning assisted drug delivery for effective treatment of infectious diseases
In the era of antimicrobial resistance, the prevalence of multidrug-resistant microorganisms
that resist conventional antibiotic treatment has steadily increased. Thus, it is now …
that resist conventional antibiotic treatment has steadily increased. Thus, it is now …
Clinical metagenomic sequencing for diagnosis of meningitis and encephalitis
MR Wilson, HA Sample, KC Zorn… - … England Journal of …, 2019 - Mass Medical Soc
Background Metagenomic next-generation sequencing (NGS) of cerebrospinal fluid (CSF)
has the potential to identify a broad range of pathogens in a single test. Methods In a 1-year …
has the potential to identify a broad range of pathogens in a single test. Methods In a 1-year …
Brain microglia serve as a persistent HIV reservoir despite durable antiretroviral therapy
Brain microglia (MG) may serve as a human immunodeficiency virus 1 (HIV) reservoir and
ignite rebound viremia following cessation of antiretroviral therapy (ART), but they have yet …
ignite rebound viremia following cessation of antiretroviral therapy (ART), but they have yet …
HIV persists throughout deep tissues with repopulation from multiple anatomical sources
BACKGROUND Understanding HIV dynamics across the human body is important for cure
efforts. This goal has been hampered by technical difficulties and the challenge of obtaining …
efforts. This goal has been hampered by technical difficulties and the challenge of obtaining …
ROCR: visualizing classifier performance in R
T Sing, O Sander, N Beerenwinkel, T Lengauer - Bioinformatics, 2005 - academic.oup.com
ROCR is a package for evaluating and visualizing the performance of scoring classifiers in
the statistical language R. It features over 25 performance measures that can be freely …
the statistical language R. It features over 25 performance measures that can be freely …
[HTML][HTML] Automated subtyping of HIV-1 genetic sequences for clinical and surveillance purposes: performance evaluation of the new REGA version 3 and seven other …
Background To investigate differences in pathogenesis, diagnosis and resistance pathways
between HIV-1 subtypes, an accurate subtyping tool for large datasets is needed. We aimed …
between HIV-1 subtypes, an accurate subtyping tool for large datasets is needed. We aimed …
Transcriptional reprogramming during effector-to-memory transition renders CD4+ T cells permissive for latent HIV-1 infection
The latent reservoir for HIV-1 in resting memory CD4+ T cells is the major barrier to curing
HIV-1 infection. Studies of HIV-1 latency have focused on regulation of viral gene expression …
HIV-1 infection. Studies of HIV-1 latency have focused on regulation of viral gene expression …
[图书][B] Kernel methods in computational biology
A detailed overview of current research in kernel methods and their application to
computational biology. Modern machine learning techniques are proving to be extremely …
computational biology. Modern machine learning techniques are proving to be extremely …
Web resources for HIV type 1 genotypic-resistance test interpretation
TF Liu, RW Shafer - Clinical infectious diseases, 2006 - academic.oup.com
Interpreting the results of plasma human immunodeficiency virus type 1 (HIV-1) genotypic
drug-resistance tests is one of the most difficult tasks facing clinicians caring for HIV-1 …
drug-resistance tests is one of the most difficult tasks facing clinicians caring for HIV-1 …