Participant Contributions to Person-Generated Health Data Research Using Mobile Devices: Scoping Review.

Background: Mobile devices offer an emerging opportunity for research participants to contribute person-generated health data (PGHD). There is little guidance, however, on how to best report findings from studies leveraging those data. Thus, there is a need to characterize current reporting practices so as to better understand the potential implications for producing reproducible results.

Target-agnostic identification of human antibodies to sexual forms reveals cross-stage recognition of glutamate-rich repeats.

Circulating sexual stages of ) can be transmitted from humans to mosquitoes, thereby furthering the spread of malaria in the population. It is well established that antibodies can efficiently block parasite transmission. In search for naturally acquired antibodies targets on sexual stages, we established an efficient method for target-agnostic single B cell activation followed by high-throughput selection of human monoclonal antibodies (mAbs) reactive to sexual stages of in the form of gametes and gametocyte extracts.

Prospective Evaluation of Accelerated Brain MRI Using Deep Learning-Based Reconstruction: Simultaneous Application to 2D Spin-Echo and 3D Gradient-Echo Sequences.

Objective: To prospectively evaluate the effect of accelerated deep learning-based reconstruction (Accel-DL) on improving brain magnetic resonance imaging (MRI) quality and reducing scan time compared to that in conventional MRI.

Materials And Methods: This study included 150 participants (51 male; mean age 57.3 ± 16.

Machine Learning-based Prediction of Blood Stream Infection in Pediatric Febrile Neutropenia.

Objectives: This study aimed to develop machine learning (ML) prediction models for identifying bloodstream infection (BSI) and septic shock (SS) in pediatric patients with cancer who presenting febrile neutropenia (FN) at emergency department (ED) visit.

Materials And Methods: A retrospective study was conducted on patients, younger than 18 years of age, who visited a tertiary university-affiliated hospital ED due to FN between January 2004 and August 2022. ML models, based on XGBoost, were developed for BSI and SS prediction.

Crystallographic, kinetic, and calorimetric investigation of PKA interactions with L-type calcium channels and Rad GTPase.

β-Adrenergic signaling activates cAMP-dependent PKA, which regulates the activity of L-type voltage-gated calcium channels such as Ca1.2. Several PKA target sites in the C-terminal tail of Ca1.