Precision Oncology: A Global Perspective on Implementation and Policy Development.

Despite the acknowledged merits of precision oncology (PO) and its increasing global implementation, its full potential for advancing care and prevention remains unrealized. The benefits are currently accessible to only limited patient segments because of multifaceted barriers. Successful implementation hinges on various factors-scientific complexities not limited to technical, clinical, regulatory, economic, administrative, and health care policy-related challenges.

Ductilization of 2.6-GPa alloys via short-range ordered interfaces and supranano precipitates.

Higher strength and higher ductility are desirable for structural materials. However, ultrastrong alloys inevitably show decreased strain-hardening capacity, limiting their uniform elongation. We present a supranano (<10 nanometers) and short-range ordering design for grain interiors and grain boundary regions, respectively, in fine-grained alloys based on vanadium, cobalt, and nickel, with additions of tungsten, copper, aluminum, and boron.

Comparative cardiometabolic safety and effectiveness of aripiprazole in people with severe mental illness: A target trial emulation.

Background: There is limited and conflicting evidence on the comparative cardiometabolic safety and effectiveness of aripiprazole in the management of severe mental illness. We investigated the hypothesis that aripiprazole has a favourable cardiometabolic profile, but similar effectiveness when compared to olanzapine, quetiapine, and risperidone.

Methods And Findings: We conducted an observational emulation of a head-to-head trial of aripiprazole versus olanzapine, quetiapine, and risperidone in UK primary care using data from the Clinical Practice Research Datalink.

A superior tool for predicting sepsis in SAH patients: The nomogram outperforms SOFA score.

Objective: This study aimed to develop and validate a nomogram to predict the risk of sepsis in non-traumatic subarachnoid hemorrhage (SAH) patients using data from the MIMIC-IV database.

Methods: A total of 803 SAH patients meeting the inclusion criteria were randomly divided into a training set (563 cases) and a validation set (240 cases). Independent prognostic factors were identified through forward stepwise logistic regression, and a nomogram was created based on these factors.

MEGA-GO: Functions prediction of diverse protein sequence length using Multi-scalE Graph Adaptive neural network.

Motivation: The increasing accessibility of large-scale protein sequences through advanced sequencing technologies has necessitated the development of efficient and accurate methods for predicting protein function. Computational prediction models have emerged as a promising solution to expedite the annotation process. However, despite making significant progress in protein research, graph neural networks face challenges in capturing long-range structural correlations and identifying critical residues in protein graphs.

Dating the bacterial tree of life based on ancient symbiosis.

Obtaining a timescale for bacterial evolution is crucial to understand early life evolution but is difficult owing to the scarcity of bacterial fossils. Here, we introduce multiple new time constraints to calibrate bacterial evolution based on ancient symbiosis. This idea is implemented using a bacterial tree constructed with genes found in the mitochondrial lineages phylogenetically embedded within Proteobacteria.

Fully Atomistic Molecular Dynamics Simulation of Ice Nucleation Near an Antifreeze Protein.

Heterogeneous ice nucleation is a widespread phenomenon in nature. Despite extensive research on ice nucleation near biological antifreeze proteins, a probe for ice nucleation and growth processes at the atomic level is still lacking. Herein, we present simulation evidence of the heterogeneous ice nucleation process on the ice-binding surface (IBS) of the antifreeze protein (TmAFP).

Enhancing drug solubility through competitive adsorption on silica nanosurfaces with ultrahigh silanol densities.

We develop a technology based on competitive adsorption between drug molecules and water, specifically designed to address the critical issue of poor drug solubility. By specially engineering silica nanosurfaces with ultrahigh densities of silanol, we significantly enhance their affinity for both drug molecules and water, with a notably greater increase in water affinity. Such surfaces can effectively adsorb a variety of drug molecules under dry conditions.

C1orf115 interacts with clathrin adaptors to undergo endocytosis and induces ABCA1 to promote enteric cholesterol efflux.

C1orf115 has been identified in high-throughput screens as a regulator of multidrug resistance possibly mediated through an interaction with ATP-dependent membrane transporter ABCB1. Here we show that C1orf115 not only shares structural similarities with FACI/C11orf86 to interact with clathrin adaptors to undergo endocytosis, but also induces ABCA1 transcription to promote cholesterol efflux. C1orf115 consists of an N-terminal intrinsically disordered region and a C-terminal α-helix.

High-Entropy Aqueous Electrolyte Induced Formation of Water-Poor Zn2+ Solvation Structures and Gradient Solid-Electrolyte Interphase for Long-Life Zn-Metal Anodes.

Electrolyte engineering has emerged as an effective strategy for stabilizing Zn-metal anodes. However, a single solute or solvent additive is far from sufficient to meet the requirements for electrolyte cycling stability. Here, we report a new-type high-entropy electrolyte composed of equal molar amounts of Zn(OTf)2 and LiOTf, along with equal volumes of H2O, triethyl phosphate, and dimethyl sulfoxide, which enhances electrolyte stability by increasing solvation entropy.

Enhanced Mechanical Properties in Bulk Nanograined Ni with High-Density Fivefold Twins.

Fivefold twins are extensively present in nanoparticles and nanowires, enhancing their performance in physical, chemical, and mechanical properties. However, a deep insight into the correlation between mechanical properties and fivefold twins in bulk nanograined materials is lacking due to synthesis difficulties. Here, a bulk fivefold-twinned nanograined Ni is synthesized via electrodeposition.

Funeral support services for socio-economically deprived bereaved people in Hong Kong: An exploratory study of their effectiveness.

This study aimed to explore the effectiveness of funeral support services for socio-economically deprived bereaved people in Hong Kong. Via a questionnaire, service users were asked to report their psychosocial status in different domains before and after the services. A quasi-experimental design was also used to compare service users with non-service users in different psychosocial domains after the funerals had taken place.

Functional evolution of thyrotropin-releasing hormone neuropeptides: Insights from an echinoderm.

Feeding behavior is regulated by a complex network of endogenous neuropeptides. In chordates, this role is suggested to be under the control of diverse factors including thyrotropin-releasing hormone (TRH). However, whether this regulatory activity of TRH is functionally conserved in non-chordate metazoans, and to what extent this process is underpinned by interactions of TRH with other neuropeptides such as cholecystokinin (CCK, known as a satiety signal), remain unclear.

Therapeutic Approaches to Tackle the Challenge of Depression That Is Resistant to Treatment-A Narrative Review.

Background And Aims: The lack of therapeutic response characterizes treatment-resistant depression despite undergoing at least two adequate monotherapy trials with medications from distinct pharmacologic classes. The inability to attain remission in patients diagnosed with major depressive disorder (MDD) is a significant issue of concern within public health. Therefore, the management of treatment-resistant depression (TRD) poses significant obstacles for both patients and healthcare professionals.

The impact of advertising on women's self-perception: a systematic review.

This systematic review explores the multifaceted psychological impact of advertising on women's self-perception, examining traditional advertising, femvertising, and the emerging effects of digital transformation. By synthesizing evidence from 95 peer-reviewed studies, this review examines the relationship between media portrayals of women and key psychological outcomes, including body image, self-esteem, self-objectification, and gender role attitudes. Our analysis reveals that traditional advertising, which often features idealized and stereotypical portrayals of femininity, continues to be associated with negative psychological outcomes such as increased body dissatisfaction and self-objectification.

Outcomes of pediatric patients with suspected allergies to COVID-19 vaccines.

Background: Adverse effects following immunizations (AEFIs) can contribute to vaccine hesitancy.

Objective: We evaluated clinical outcomes of AEFIs subsequent to administration of the coronavirus disease 2019 (COVID-19) vaccine at 2 pediatric allergy centers.

Methods: Data on pediatric patients referred for COVID-19 AEFI concerns between March 2021 and October 2022 were reviewed.

Acute high-intensity interval exercise is superior to moderate-intensity continuous exercise in enhancing endothelial function and its associated biomarkers in sedentary young individuals: the possible involvement of lactate.

Objectives: Our study investigated the effects of acute high-intensity interval exercise (HIIE) and moderate-intensity continuous exercise (MICE) on endothelial function and its associated biomarkers in sedentary young individuals.

Methods: Fifteen subjects (10M / 5F; 22 ± 2 years; BMI: 23.07 ± 4.

ID3RSNet: cross-subject driver drowsiness detection from raw single-channel EEG with an interpretable residual shrinkage network.

Accurate monitoring of drowsy driving through electroencephalography (EEG) can effectively reduce traffic accidents. Developing a calibration-free drowsiness detection system with single-channel EEG alone is very challenging due to the non-stationarity of EEG signals, the heterogeneity among different individuals, and the relatively parsimonious compared to multi-channel EEG. Although deep learning-based approaches can effectively decode EEG signals, most deep learning models lack interpretability due to their black-box nature.

Mapping subcortical brain lesions, behavioral and acoustic analysis for early assessment of subacute stroke patients with dysarthria.

Introduction: Dysarthria is a motor speech disorder frequently associated with subcortical damage. However, the precise roles of the subcortical nuclei, particularly the basal ganglia and thalamus, in the speech production process remain poorly understood.

Methods: The present study aimed to better understand their roles by mapping neuroimaging, behavioral, and speech data obtained from subacute stroke patients with subcortical lesions.

Multi-center real-world data-driven web calculator for predicting outcomes in IDH-mutant gliomas: Integrating molecular subtypes and treatment modalities.

Background: Isocitrate dehydrogenase (IDH)-mutant gliomas generally have a better prognosis than IDH-wild-type glioblastomas, and the extent of resection significantly impacts prognosis. However, there is a lack of integrated tools for predicting outcomes based on molecular subtypes and treatment modalities. This study aimed to identify factors influencing gross total resection (GTR) rates and to develop a clinical prognostic tool for IDH-mutant gliomas.

Asymmetric Intraocular Pressure Changes in Dominant and Contralateral Eyes: The Dark Room Prone Provocative Test.

Purpose: To evaluate changes in intraocular pressure (IOP) in dominant and contralateral eyes following the dark room prone provocative test (DRPPT) in the study subjects with shallow anterior chamber.

Methods: This was a prospective, single-center, non-randomized controlled trial of 43 subjects (86 eyes) with shallow anterior chamber. The dominant eye was identified using the card-hole method.

Decision Regret About Treatment Amongst Women With Early Breast Cancer: An Integrative Review.

Aims: To synthesise evidence on decision regret about treatment amongst women with early breast cancer, including (1) the type of treatment related to decision regret, (2) the level of decision regret, and (3) factors associated with decision regret.

Design: Integrative review.

Methods: Studies published between January 2000 and December 2023 were searched from five online databases to provide up-to-date evidence.