Publications by authors named "N Weiler"

Massively Parallel Sequencing (MPS) has gained interest in the forensic community over the past decade. Most of the published MPS methods focus on specialty applications intended for use in a limited number of samples with protocols that are relatively laborious. Recent developments using Reverse-Complement PCR enable an efficient MPS protocol suited for routine analysis of high numbers of samples.

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Introduction: The field of forensic DNA analysis has undergone rapid advancements in recent decades. The integration of massively parallel sequencing (MPS) has notably expanded the forensic toolkit, moving beyond identity matching to predicting phenotypic traits and biogeographical ancestry. This shift is of particular significance in cases where conventional DNA profiling fails to identify a single suspect.

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Background: Hospitalized patients with end-stage liver disease are at risk of malnutrition, reduced body function, and cognitive impairment due to HE. This combination may have an impact on in-hospital falls and mortality. The purpose of this study was to identify factors associated with the risk of falls and to analyze the consequences regarding in-hospital mortality.

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Background: Postoperative respiratory failure is the most frequent complication in postsurgical patients. The purpose of this study is to assess whether pulmonary function testing in high-risk patients during preoperative assessment detects previously unknown respiratory impairments which may influence patient outcomes.

Methods: A targeted patient screening by spirometry and the measurement of the diffusing capacity of the lung for carbon monoxide (D) was implemented in the anesthesia department of a tertiary university hospital.

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Article Synopsis
  • More severe forms of atopic dermatitis and psoriasis significantly impact quality of life, lead to higher healthcare costs, and are linked to other health issues; addressing these problems early can help lessen the burden.
  • The BIOMAP consortium is a large-scale research initiative that compiles clinical and molecular data from various studies to improve the understanding of disease severity and identify reliable biomarkers.
  • The consortium emphasizes the importance of using consistent definitions for disease severity and considers various factors when analyzing data to ensure that findings are relevant to both patients and healthcare practitioners.
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