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Research Insights

Research Insights section focuses on the cutting-edge and breakthrough research that is happening all over the world. Laboratories across the globe are working hard to develop drugs and therapies for various diseases and research insights directly from them add tremendous value.

Preparing for Patients with High-consequence Infectious Diseases: Example of a High-level Isolation Unit

Patients with highconsequence infectious diseases HCID are rare in Western Europe However highlevel isolation units HLIU must always be prepared for patient admission Case fatality rates of HCID can be reduced by providing optimal intensive care management We here describe a single centres preparation its embedding in the national context and the c...

Prediction of Clinical Trial Enrollment Rates

Clinical trials represent a critical milestone of translational and clinical sciences However poor recruitment to clinical trials has been a long standing problem affecting institutions all over the world One way to reduce the cost incurred by insufficient enrollment is to minimize initiating trials that are most likely to fall short of their enrol...

Persistence of SARS-CoV-2 total Immunoglobulins in a series of Convalescent Plasma and Blood Donors

The vast majority of COVID cases both symptomatic and asymptomatic develop immunity after COVID contagion Whether lasting differences exist between infection and vaccination boosted immunity is yet to be known The aim of this study was to determine how long total antiSARSCoV antibodies due to past infection persist in peripheral blood

Non-pharmacological Interventions for Bone Health after Stroke: A Systematic Review

The risk for hip fracture is quadrupled in stroke survivors compared to healthy individuals attributable mainly to falls and disuse osteoporosis in the paretic side A study by Ramnemark et al showed that fracture risk increased from in the first year after stroke to and after and years respectively Among stroke patients with unilateral persist...

Machine Learning Predicts Cancer Subtypes and Progression from Blood Immune Signatures

Clinical adoption of immune checkpoint inhibitors in cancer management has highlighted the interconnection between carcinogenesis and the immune system Immune cells are integral to the tumour microenvironment and can influence the outcome of therapies Better understanding of an individuals immune landscape may play an important role

Functional human genes typically exhibit epigenetic conservation

Recent DepMap CRISPRCas single gene disruptions have identified genes more essential to proliferation in tissue culture It would be valuable to translate these finding with measurements more practical for human tissues Here we show that DepMap essential genes and other literature curated functional

Roadmap for the use of Base Editors to Decipher Drug Mechanism of Action

CRISPR base editors are powerful tools for largescale mutagenesis studies This kind of approach can elucidate the mechanism of action of compounds a key process in drug discovery Here we explore the utility of base editors in an early drug discovery context focusing on Gprotein

Multifunctional RNA-binding Proteins Influence mRNA Abundance and Translational Efficiency of Distinct Sets of Target Genes

RNAbinding proteins RBPs can regulate more than a single aspect of RNA metabolism We searched for such previously undiscovered multifunctionality within a set of RBPs by defining the predictive value of RBP abundance for the transcription and translation levels of known RBP target genes

RNA Editing Regulates lnc RNA Splicing in Human Early Embryo Development

RNA editing is a co or posttranscriptional modification through which some cells can make discrete changes to specific nucleotide sequences within an RNA molecule after transcription Previous studies found that RNA editing may be critically involved in cancer and aging However the function of RNA editing in human early

Interpretable Machine Learning for High-dimensional Trajectories of Aging Health

We have built a computational model for individual aging trajectories of health and survival which contains physical functional and biological variables and is conditioned on demographic lifestyle and medical background information We combine techniques of modern machine learning with an interpretable interaction network where health

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