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Transoral robotic surgery for the management of head and neck squamous cell carcinoma of unknown primary.

Acta oto-laryngologica
CONCLUSION: The addition of transoral robotic surgery (TORS) in the diagnostic management of patients classified with head and neck squamous cell carcinoma of unknown primary (SCCUP) is promising and appears to improve detection rates of the primary ...

Blurring the boundaries between frame-based and frameless stereotaxy: feasibility study for brain biopsies performed with the use of a head-mounted robot.

Journal of neurosurgery
OBJECT: Frame-based stereotactic interventions are considered the gold standard for brain biopsies, but they have limitations with regard to flexibility and patient comfort because of the bulky head ring attached to the patient. Frameless image guida...

Machine learning on encephalographic activity may predict opioid analgesia.

European journal of pain (London, England)
BACKGROUND: Opioids are used for the treatment of pain. However, 30-50% of patients have insufficient effect to the opioid initially selected by the physician, and there is an urgent need for biomarkers to select responders to the most appropriate dr...

Machine learning reveals sex-specific 17β-estradiol-responsive expression patterns in white perch (Morone americana) plasma proteins.

Proteomics
With growing abundance and awareness of endocrine disrupting compounds (EDCs) in the environment, there is a need for accurate and reliable detection of EDC exposure. Our objective in the present study was to observe differences within and between th...

Does preoperative diabetes mellitus affect weight loss outcome after biliopancreatic diversion with duodenal switch?

Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery
BACKGROUND: Preoperative type 2 diabetes mellitus (T2 DM) has previously been reported as an independent predictor for suboptimal (≤40%) weight loss after Roux-en-Y gastric bypass in patients with T2 DM compared with patients who do not have T2 DM. T...

Early identification of posttraumatic stress following military deployment: Application of machine learning methods to a prospective study of Danish soldiers.

Journal of affective disorders
BACKGROUND: Pre-deployment identification of soldiers at risk for long-term posttraumatic stress psychopathology after home coming is important to guide decisions about deployment. Early post-deployment identification can direct early interventions t...

A Hybrid Swarm Algorithm for optimizing glaucoma diagnosis.

Computers in biology and medicine
Glaucoma is among the most common causes of permanent blindness in human. Because the initial symptoms are not evident, mass screening would assist early diagnosis in the vast population. Such mass screening requires an automated diagnosis technique....

Multimodal predictor of neurodevelopmental outcome in newborns with hypoxic-ischaemic encephalopathy.

Computers in biology and medicine
Automated multimodal prediction of outcome in newborns with hypoxic-ischaemic encephalopathy is investigated in this work. Routine clinical measures and 1h EEG and ECG recordings 24h after birth were obtained from 38 newborns with different grades of...

Using swing resistance and assistance to improve gait symmetry in individuals post-stroke.

Human movement science
A major characteristic of hemiplegic gait observed in individuals post-stroke is spatial and temporal asymmetry, which may increase energy expenditure and the risk of falls. The purpose of this study was to examine the effects of swing resistance/ass...

Group sessions with Paro in a nursing home: Structure, observations and interviews.

Australasian journal on ageing
AIM: We recently reported that a companion robot reduced residents' loneliness in a randomised controlled trial at an aged-care facility. This report aims to provide additional, previously unpublished data about how the sessions were run, residents' ...