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Systematic bias in malaria parasite relatedness estimation.

G3 (Bethesda)

January 2025

Infectious Disease Epidemiology and Analytics G5 Unit, Institut Pasteur, Université Paris Cité, Paris 75015, France.

Genetic studies of Plasmodium parasites increasingly feature relatedness estimates. However, various aspects of malaria parasite relatedness estimation are not fully understood. For example, relatedness estimates based on whole-genome-sequence (WGS) data often exceed those based on sparser data types.

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Background: Randomised controlled trials (RCTs) evaluating new systemic treatments for atopic dermatitis (AD) have increased dramatically over the last decade. These trials often incorporate topical therapies either as permitted concomitant or rescue treatments. Differential use of these topicals post-randomisation introduces potential bias as they may nullify or exaggerate treatment responses.

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Investigating Smartphone-Based Sensing Features for Depression Severity Prediction: Observation Study.

J Med Internet Res

January 2025

Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany.

Background: Unobtrusively collected objective sensor data from everyday devices like smartphones provide a novel paradigm to infer mental health symptoms. This process, called smart sensing, allows a fine-grained assessment of various features (eg, time spent at home based on the GPS sensor). Based on its prevalence and impact, depression is a promising target for smart sensing.

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New ultrathin bronchoscopes (UTBs) enable the inspection and biopsy of small airways, potentially offering diagnostic advantages in sarcoidosis. In this prospective study, patients with suspected sarcoidosis underwent airway inspection with a UTB. Observed airway abnormalities were categorised into six predefined patterns.

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