Results 71 to 80 of about 291,282 (331)
The integration of foundation models into computational microscopy revolutionizes biomedical research by enhancing imaging resolution, accelerating data analysis, and enabling real‐time biological interpretation. This systematic review critically examines recent advancements, highlights translational challenges, and discusses the transformative ...
Di Ding+5 more
wiley +1 more source
Computer assisted assessment and advice for "non-serious" 999 ambulance service callers : the potential impact on ambulance despatch [PDF]
Objective: To investigate the potential impact for ambulance services of telephone assessment and triage for callers who present with non-serious problems (Category C calls) as classified by ambulance service call takers.
Crouch, R.+9 more
core +2 more sources
On‐Device Brain Tumor Classification from MR Images Using Smartphone
Herein, various deep learning models are trained for brain tumor classification task, and model performances are compared. The performance is further improved by using the proposed preprocessing algorithm before training. The MobileViT model, which is the best‐performing model in terms of balance between inference time and success rate, is integrated ...
Halil Ibrahim Ustun+3 more
wiley +1 more source
Cytosolic chaperones influence the fate of a toxin dislocated from the endoplasmic reticulum [PDF]
The plant cytotoxin ricin enters target mammalian cells by receptor-mediated endocytosis and undergoes retrograde transport to the endoplasmic reticulum (ER).
Argent+32 more
core +4 more sources
The efficacy and usability of motivational interviewing just‐in‐time trainings for youth mentors
Abstract Using youth mentors to deliver evidence‐based psychosocial services has been proposed to increase the reach of treatments, in part given the affordability and ubiquity of mentors in youth settings. Further, tests of mentor‐delivered motivational interviewing (MI) have shown increases in youth mentees' academic performance and wellbeing.
Mackenzie J. Hart+4 more
wiley +1 more source
Predicting hospital admission at emergency department triage using machine learning
Objective To predict hospital admission at the time of ED triage using patient history in addition to information collected at triage. Methods This retrospective study included all adult ED visits between March 2014 and July 2017 from one academic and ...
W. Hong, A. Haimovich, R. A. Taylor
semanticscholar +1 more source
Abstract In some communities, schools and housing agencies are innovatively partnering to prevent family homelessness and protect students from the negative outcomes associated with housing hardship. While there is increasing interest in expanding the array of housing solutions via school‐housing partnership, more research is needed to understand the ...
Jessica K. McCabe Johnson+6 more
wiley +1 more source
Stakeholder perspectives on new ways of delivering unscheduled health care: the role of ownership and organisational identity [PDF]
<b>Rationale, aims and objectives</b>: To explore stakeholder perspectives of the implementation of a new, national integrated nurse-led telephone advice and consultation service (NHS 24), comparing the views of stakeholders from different ...
Department of Health+15 more
core +1 more source
Objectives In England, the NHS111 service provides assessment and triage by telephone for urgent health problems. A digital version of this service has recently been introduced. We aimed to systematically review the evidence on digital and online symptom
D. Chambers+6 more
semanticscholar +1 more source
ABSTRACT Over the last three decades, overseas researchers have utilised administrative data to identify distinct patterns in shelter use. In Australia, the use of administrative data to understand service utilisation patterns among people ‘at risk’ of homelessness and experiencing homelessness is limited.
Godwin Kavaarpuo+2 more
wiley +1 more source