Improved antibody pharmacokinetics by disruption of contiguous positive surface potential and charge reduction using alternate human framework

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Comparison of autofluorescence and white-light bronchoscopies performed with the Evis Lucera Spectrum for the detection of bronchial cancers: a meta-analysis

Georges Wagnières, Xiuwei Zhang, Li Wang, Yang Yang

Background: Many recent studies have reported that autofluorescence bronchoscopy (AFB) has a superior sensitivity and decreased specificity in the diagnosis of bronchial cancers when compared with white-light bronchoscopy (WLB). We specifically analyzed th ...

AME PUBL CO2020

Development of Tissue Kallikrein Inhibitors for the Treatment of Netherton Syndrome

Patrick Andreas Gonschorek

There is currently no approved treatment for Netherton syndrome, which is a severe, genetic skin disease characterized by chronic inflammation and excessive peeling of the skin. Even though the molecular disease mechanism has been assigned to the unopposed ...

EPFL2019

Automatic clustering of spinal reflexes evoked by epidural electrical stimulation of the cervical spinal cord in non-human primates

Giuseppe Schiavone, Stéphanie Lacour, Grégoire Courtine, Marco Capogrosso, Sara Conti, Beatrice Barra, Katie Zhi Zhuang, Jocelyne Bloch

Epidural electrical stimulation of the spinal cord elicits motor responses by recruiting large sensory afferents in the posterior roots. Divergence of excitatory inputs provided by these fibers generates a variety of shapes, latencies and amplitudes in the ...

2019

Design and validation of bioorthogonal probes for cellular disease models

Pier Luca D'Alessandro

Well-validated chemical probes enable testing of biological hypotheses, investigation of target tractability and translatability to the clinical phase. Consequently, these important tool compounds play a key role in the drug discovery process. Moreover, th ...

EPFL2019

Analysis of patient-specific stimulation with segmented leads in the subthalamic nucleus

Philippe Renaud, André Mercanzini, Thuy Anh Khoa Nguyen

Objective Segmented deep brain stimulation leads in the subthalamic nucleus have shown to increase therapeutic window using directional stimulation. However, it is not fully understood how these segmented leads with reduced electrode size modify the volume ...

PUBLIC LIBRARY SCIENCE2019

Measuring transient phase-amplitude coupling using local mutual information

Here we demonstrate the suitability of a local mutual information measure for estimating the temporal dynamics of cross-frequency coupling (CFC) in brain electrophysiological signals. In CFC, concurrent activity streams in different frequency ranges intera ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2019

Data Science in Environmental Health Research

Christine Choirat

Purpose of ReviewData science is an exploding trans-disciplinary field that aims to harness the power of data to gain information or insights on researcher-defined topics of interest. In this paper, we review how data science can help advance environmental ...

2019

Targeted antibody and cytokine cancer immunotherapies through collagen affinity

Jeffrey Alan Hubbell, Melody Swartz, Seung Tae Lee, Lambert Charles François Potin, Jun Ishihara, Kazuto Fukunaga, Michal Mateusz Raczy

Cancer immunotherapy with immune checkpoint inhibitors (CPIs) and interleukin-2 (IL-2) has demonstrated clinical efficacy but is frequently accompanied with severe adverse events caused by excessive and systemic immune system activation. Here, we addressed ...

AMER ASSOC ADVANCEMENT SCIENCE2019

Unified multi-modal characterization of microstructural parameters of brain tissue using diffusion MRI and multi-echo T2 data

Jean-Philippe Thiran, Nicolas Kunz, Alessandro Daducci, Erick Jorge Canales Rodriguez, Marco Pizzolato

In this study, a unified framework to estimate different microstructure indices from diffusion MRI and multi-echo T2 (MET2) data was proposed.The new methodology takes into account the common and complementary information provided by both modalities. While ...

2018

Computable Bounds on the Exploration Bias

Michael Christoph Gastpar, Ibrahim Issa

Adaptive data analysis is known to introduce bias in reported measurements. Russo and Zou [1] recently introduced an information-theoretic framework to study this problem. Herein, this framework is adopted and new dependence measures are introduced to boun ...

2018

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