Results 161 to 170 of about 19,656,854 (402)
Risks to surgeons and patients from HIV and hepatitis: guidelines on precautions and management of exposure to blood or body fluids. Joint Working Party of the Hospital Infection Society and the Surgical Infection Study Group. [PDF]
D.C. Shanson
openalex +1 more source
ABSTRACT Objective To investigate the overall use of prescription medications among individuals with multiple sclerosis compared to the general population, with a focus on treatments beyond disease‐modifying therapies. Methods We conducted a nationwide, registry‐based study in Denmark.
Josefine Windfeld‐Mathiasen+4 more
wiley +1 more source
RISK MANAGEMENT OF BEER FERMENTATION DIACETYL CONTROL
Elena Mudura+3 more
openalex +2 more sources
The Dundee coronary risk-disk for management of change in risk factors. [PDF]
Hugh Tunstall‐Pedoe
openalex +1 more source
The rs10191329 Risk Allele Is Associated With Pronounced Retinal Layer Atrophy in Multiple Sclerosis
ABSTRACT Objective To investigate whether the rs10191329 risk allele in the DYSF–ZNF638 locus, which is implicated in central nervous system resilience rather than immune‐mediated pathology, is associated with retinal layer thinning, a biomarker of neuroaxonal damage in relapsing multiple sclerosis (RMS). Methods From a prospective observational study,
Gabriel Bsteh+22 more
wiley +1 more source
An Evaluation of Risk Management Strategies for Dairy Farms [PDF]
Darrell J. Bosch, C. Johnson
openalex +1 more source
ABSTRACT Background Stroke is a leading cause of long‐term disability in adults, with upper limb hemiparesis being a common impairment. Traditional training is mostly aimed at paralyzed limbs, but the effect of bilateral training is still unclear.
Fangfang Qian+7 more
wiley +1 more source
Risk- Management im Rahmen des Internationalen Marketing [PDF]
Ralph Berndt
openalex +1 more source
Data Analytics for Operational Risk Management
O. Araz, T. Choi, D. Olson, F. S. Salman
semanticscholar +1 more source
ICU‐EEG Pattern Detection by a Convolutional Neural Network
ABSTRACT Objective Patients in the intensive care unit (ICU) often require continuous EEG (cEEG) monitoring due to the high risk of seizures and rhythmic and periodic patterns (RPPs). However, interpreting cEEG in real time is resource‐intensive and heavily relies on specialized expertise, which is not always available.
Giulio Degano+5 more
wiley +1 more source