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Background: Preoperative hospitalization with the purpose to obtain more effective weight loss provides intensive care for patients who have a higher body mass index (BMI) and associated diseases that involve a greater risk of peri- and postoperative complications. It is a therapeutic strategy that can make it possible to overcome obstacles related to the difficulty of adhering to obesity treatment.

Aims: To analyze the implementation of a preoperative hospitalization strategy for weight loss in patients eligible for bariatric surgery.

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Purpose: This study aimed to adapt the Montreal Cognitive Assessment Hearing Impaired (MoCA-H) into Brazilian Portuguese (BP).

Methods: This was a descriptive, cross-sectional, quantitative, and qualitative study involving participants selected by convenience. The instrument was adapted from its original version, in a six-stage process consisting of the following: Stage 1 - Translation and back translation of the MoCA-H; Stage 2 - Stimulus analysis and selection; Stage 3 - Semantic analysis of stimuli; Stage 4 - Analysis by non-expert judges, part 1; Stage 5 - Analysis by non-expert judges, part 2; Stage 6 - Pilot study.

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CTCNet: a fine-grained classification network for fluorescence images of circulating tumor cells.

Med Biol Eng Comput

January 2025

Anhui BioX-Vision Biological Technology Co., Ltd, Hefei, 230031, Anhui, China.

The identification and categorization of circulating tumor cells (CTCs) in peripheral blood are imperative for advancing cancer diagnostics and prognostics. The intricacy of various CTCs subtypes, coupled with the difficulty in developing exhaustive datasets, has impeded progress in this specialized domain. To date, no methods have been dedicated exclusively to overcoming the classification challenges of CTCs.

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Acute ischemic stroke, a medical emergency caused by reduced cerebral blood flow, results in brain cell damage. While commonly associated with older individuals, strokes can also occur in young and middle-aged adults, posing significant socio-economic and health challenges due to the long-term impact of the condition. This poses significant socio-economic and health challenges because stroke is a leading cause of disability and mortality.

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Background: Accurate segmentation of rib fractures represents a pivotal procedure within surgical interventions. This meticulous process not only mitigates the likelihood of postoperative complications but also facilitates expedited patient recuperation. However, rib fractures in computed tomography (CT) images exhibit an uneven morphology and are not fixed in position, posing difficulties in segmenting fractures.

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